{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Wczytywanie danych"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |
\n",
"\n",
"\t10084 | 10000089 | 10000526 | 10000031 | F | 30 | 6 | 5 | 16 | 24 | 17 |
\n",
"\t10084 | 10000758 | 10000526 | 10000031 | F | 31 | 6 | 5 | 30 | 12 | 16 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" familyID & individualID & IDFather & IDMother & sex & age & ethnicity & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\t 10084 & 10000089 & 10000526 & 10000031 & F & 30 & 6 & 5 & 16 & 24 & 17 \\\\\n",
"\t 10084 & 10000758 & 10000526 & 10000031 & F & 31 & 6 & 5 & 30 & 12 & 16 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
"|---|---|---|---|---|---|---|---|---|---|---|\n",
"| 10084 | 10000089 | 10000526 | 10000031 | F | 30 | 6 | 5 | 16 | 24 | 17 |\n",
"| 10084 | 10000758 | 10000526 | 10000031 | F | 31 | 6 | 5 | 30 | 12 | 16 |\n",
"\n"
],
"text/plain": [
" familyID individualID IDFather IDMother sex age ethnicity alcoholDependence\n",
"1 10084 10000089 10000526 10000031 F 30 6 5 \n",
"2 10084 10000758 10000526 10000031 F 31 6 5 \n",
" AgeOnset MaxDinks packsDay\n",
"1 16 24 17 \n",
"2 30 12 16 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" | familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |
\n",
"\n",
"\t1607 | 10086 | 10000663 | 10000035 | 10000537 | M | 35 | 6 | 5 | 18 | 48 | 15.0 |
\n",
"\t1608 | 10086 | 10000005 | 10000035 | 10000537 | M | 30 | 6 | 5 | 16 | 25 | 0.0 |
\n",
"\t1609 | 10086 | 10000337 | 10000035 | 10000537 | F | 34 | 6 | 3 | 0 | 10 | 2.3 |
\n",
"\t1610 | 10086 | 10000035 | 10000314 | 10000483 | M | 58 | 6 | 5 | 21 | 24 | 0.6 |
\n",
"\t1611 | 10086 | 10000537 | 0 | 0 | F | 57 | 6 | 1 | 0 | 6 | 0.0 |
\n",
"\t1612 | 10086 | 10000153 | 10000314 | 10000483 | M | 57 | 6 | 5 | 25 | 24 | 128.0 |
\n",
"\t1613 | 10086 | 10000314 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.0 |
\n",
"\t1614 | 10086 | 10000483 | 0 | 0 | F | 0 | 0 | 0 | 0 | -9 | -9.0 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" & familyID & individualID & IDFather & IDMother & sex & age & ethnicity & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\t1607 & 10086 & 10000663 & 10000035 & 10000537 & M & 35 & 6 & 5 & 18 & 48 & 15.0 \\\\\n",
"\t1608 & 10086 & 10000005 & 10000035 & 10000537 & M & 30 & 6 & 5 & 16 & 25 & 0.0 \\\\\n",
"\t1609 & 10086 & 10000337 & 10000035 & 10000537 & F & 34 & 6 & 3 & 0 & 10 & 2.3 \\\\\n",
"\t1610 & 10086 & 10000035 & 10000314 & 10000483 & M & 58 & 6 & 5 & 21 & 24 & 0.6 \\\\\n",
"\t1611 & 10086 & 10000537 & 0 & 0 & F & 57 & 6 & 1 & 0 & 6 & 0.0 \\\\\n",
"\t1612 & 10086 & 10000153 & 10000314 & 10000483 & M & 57 & 6 & 5 & 25 & 24 & 128.0 \\\\\n",
"\t1613 & 10086 & 10000314 & 0 & 0 & M & 0 & 0 & 0 & 0 & -9 & -9.0 \\\\\n",
"\t1614 & 10086 & 10000483 & 0 & 0 & F & 0 & 0 & 0 & 0 & -9 & -9.0 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| | familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
"|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| 1607 | 10086 | 10000663 | 10000035 | 10000537 | M | 35 | 6 | 5 | 18 | 48 | 15.0 |\n",
"| 1608 | 10086 | 10000005 | 10000035 | 10000537 | M | 30 | 6 | 5 | 16 | 25 | 0.0 |\n",
"| 1609 | 10086 | 10000337 | 10000035 | 10000537 | F | 34 | 6 | 3 | 0 | 10 | 2.3 |\n",
"| 1610 | 10086 | 10000035 | 10000314 | 10000483 | M | 58 | 6 | 5 | 21 | 24 | 0.6 |\n",
"| 1611 | 10086 | 10000537 | 0 | 0 | F | 57 | 6 | 1 | 0 | 6 | 0.0 |\n",
"| 1612 | 10086 | 10000153 | 10000314 | 10000483 | M | 57 | 6 | 5 | 25 | 24 | 128.0 |\n",
"| 1613 | 10086 | 10000314 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.0 |\n",
"| 1614 | 10086 | 10000483 | 0 | 0 | F | 0 | 0 | 0 | 0 | -9 | -9.0 |\n",
"\n"
],
"text/plain": [
" familyID individualID IDFather IDMother sex age ethnicity\n",
"1607 10086 10000663 10000035 10000537 M 35 6 \n",
"1608 10086 10000005 10000035 10000537 M 30 6 \n",
"1609 10086 10000337 10000035 10000537 F 34 6 \n",
"1610 10086 10000035 10000314 10000483 M 58 6 \n",
"1611 10086 10000537 0 0 F 57 6 \n",
"1612 10086 10000153 10000314 10000483 M 57 6 \n",
"1613 10086 10000314 0 0 M 0 0 \n",
"1614 10086 10000483 0 0 F 0 0 \n",
" alcoholDependence AgeOnset MaxDinks packsDay\n",
"1607 5 18 48 15.0 \n",
"1608 5 16 25 0.0 \n",
"1609 3 0 10 2.3 \n",
"1610 5 21 24 0.6 \n",
"1611 1 0 6 0.0 \n",
"1612 5 25 24 128.0 \n",
"1613 0 0 -9 -9.0 \n",
"1614 0 0 -9 -9.0 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw = read.table('http://theta.edu.pl/wp-content/uploads/2019/12/gaw.csv', header = TRUE, \n",
" sep = ';', dec = ',')\n",
"head(gaw, 2)\n",
"tail(gaw, 8)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Instalowanie nowych pakietów"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"\"unable to access index for repository https://cran.r-project.org/bin/windows/contrib/3.6:\n",
" nie można otworzyć adresu URL 'https://cran.r-project.org/bin/windows/contrib/3.6/PACKAGES'\"Package which is only available in source form, and may need\n",
" compilation of C/C++/Fortran: 'data.table'\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" These will not be installed\n"
]
}
],
"source": [
"install.packages(\"data.table\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dodawanie pakietów"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"\"package 'data.table' was built under R version 3.6.3\""
]
}
],
"source": [
"library(data.table)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Użycie nowej funkcji"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"?fread"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"gaw2 = fread('http://theta.edu.pl/wp-content/uploads/2019/12/gaw.csv', dec = \",\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |
\n",
"\n",
"\t10084 | 10000089 | 10000526 | 10000031 | F | 30 | 6 | 5 | 16 | 24 | 17.000 |
\n",
"\t10084 | 10000758 | 10000526 | 10000031 | F | 31 | 6 | 5 | 30 | 12 | 16.000 |
\n",
"\t10084 | 10001094 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.000 |
\n",
"\t10084 | 10000133 | 10001094 | 10000758 | M | 18 | 6 | 3 | 0 | 18 | 0.450 |
\n",
"\t10084 | 10001039 | 10000526 | 10000031 | M | 28 | 6 | 5 | 16 | 40 | 0.000 |
\n",
"\t10084 | 10000194 | 10000526 | 10000031 | F | 24 | 6 | 3 | 0 | 20 | 8.000 |
\n",
"\t10084 | 10000526 | 0 | 0 | M | 60 | 6 | 5 | 38 | 24 | 42.000 |
\n",
"\t10084 | 10000031 | 0 | 0 | F | 60 | 6 | 3 | 0 | 7 | 58.500 |
\n",
"\t10130 | 10001565 | 10001436 | 10001364 | F | 38 | 6 | 5 | 18 | 75 | 30.000 |
\n",
"\t10130 | 10000919 | 10001436 | 10001364 | M | 40 | 6 | 5 | 33 | 48 | 0.000 |
\n",
"\t10130 | 10000299 | 10001436 | 10001364 | F | 32 | 6 | 5 | 17 | 36 | 32.000 |
\n",
"\t10130 | 10000489 | 10001436 | 10001364 | M | 27 | 6 | 3 | 0 | 12 | 0.000 |
\n",
"\t10130 | 10001436 | 0 | 0 | M | 62 | 6 | 3 | 0 | 10 | 42.000 |
\n",
"\t10130 | 10001364 | 0 | 0 | F | 61 | 6 | 1 | 0 | 5 | 0.125 |
\n",
"\t10038 | 10000572 | 10001250 | 10001511 | F | 28 | 6 | 5 | 15 | 48 | 12.000 |
\n",
"\t10038 | 10000272 | 10001250 | 10001511 | M | 26 | 6 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001295 | 10001250 | 10001511 | F | 25 | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10038 | 10000598 | 10001250 | 10001511 | M | 22 | 6 | 5 | 15 | 71 | 12.000 |
\n",
"\t10038 | 10001250 | 0 | 0 | M | 68 | 6 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001511 | 0 | 0 | F | 52 | 6 | 3 | 0 | 14 | 31.000 |
\n",
"\t10006 | 10000264 | 10000130 | 10000650 | M | 34 | 6 | 5 | 16 | 26 | 0.000 |
\n",
"\t10006 | 10000025 | 10000130 | 10000650 | M | 35 | 6 | 5 | 18 | 36 | 13.000 |
\n",
"\t10006 | 10000707 | 10000130 | 10000650 | M | 26 | 6 | 5 | 20 | 15 | 6.000 |
\n",
"\t10006 | 10001405 | 10000130 | 10000650 | F | 28 | 6 | 5 | 23 | 10 | 0.000 |
\n",
"\t10006 | 10000130 | 0 | 0 | M | 58 | 6 | 5 | 30 | 24 | -9.000 |
\n",
"\t10006 | 10000650 | 0 | 0 | F | 59 | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000398 | 0 | 0 | M | 58 | 6 | 5 | 24 | 42 | 41.000 |
\n",
"\t10027 | 10000382 | 0 | 0 | F | 65 | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000861 | 10000398 | 10000382 | F | 38 | 6 | 3 | 0 | 5 | 14.000 |
\n",
"\t10027 | 10000915 | 0 | 0 | M | 44 | 1 | 5 | 0 | 20 | 23.000 |
\n",
"\t... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
\n",
"\t10026 | 10001144 | 0 | 0 | M | 49 | 6 | 3 | 0 | 24 | 51.00 |
\n",
"\t10026 | 10000769 | 0 | 0 | F | 53 | 6 | 1 | 0 | 6 | 35.00 |
\n",
"\t10005 | 10001357 | 10000016 | 10000066 | F | 40 | 6 | 5 | 39 | 13 | 0.00 |
\n",
"\t10005 | 10000425 | 0 | 0 | M | 41 | 6 | 3 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10001547 | 10000425 | 10001357 | M | 23 | 6 | 5 | 20 | 24 | 4.50 |
\n",
"\t10005 | 10000350 | 10000425 | 10001357 | M | 21 | 6 | 5 | 19 | 36 | 6.00 |
\n",
"\t10005 | 10000747 | 10000425 | 10001357 | F | 18 | 6 | 1 | 0 | 8 | 0.15 |
\n",
"\t10005 | 10000267 | 10000016 | 10000066 | F | 29 | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10000049 | 10000016 | 10000066 | F | 37 | 6 | 5 | 25 | 30 | 10.00 |
\n",
"\t10005 | 10000393 | 10000016 | 10000066 | F | 39 | 6 | 3 | 0 | 8 | 19.00 |
\n",
"\t10005 | 10000016 | 0 | 0 | M | 62 | 6 | 5 | 23 | 52 | 0.00 |
\n",
"\t10005 | 10000066 | 0 | 0 | F | 58 | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10000376 | 10000820 | 10000516 | F | 29 | 7 | 5 | 18 | 32 | 10.00 |
\n",
"\t10138 | 10000556 | 10000820 | 10000516 | F | 27 | 7 | 3 | 0 | 4 | 4.50 |
\n",
"\t10138 | 10001313 | 10000820 | 10000516 | M | 40 | 7 | 5 | 25 | 32 | 13.00 |
\n",
"\t10138 | 10000322 | 10000820 | 10000516 | M | 39 | 7 | 5 | 22 | 24 | 14.00 |
\n",
"\t10138 | 10000255 | 10000820 | 10000516 | F | 41 | 7 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10001416 | 10000820 | 10000516 | F | 35 | 7 | 5 | 21 | 25 | 3.00 |
\n",
"\t10138 | 10000961 | 10000820 | 10000516 | F | 38 | 7 | 1 | 0 | 5 | 0.00 |
\n",
"\t10138 | 10000820 | 0 | 0 | M | 70 | 7 | 5 | 20 | 14 | 39.50 |
\n",
"\t10138 | 10000516 | 0 | 0 | F | 59 | 6 | 1 | 0 | 2 | 0.00 |
\n",
"\t10138 | 10000759 | 10000820 | 10000516 | F | 34 | 7 | 1 | 0 | 1 | 0.00 |
\n",
"\t10086 | 10000663 | 10000035 | 10000537 | M | 35 | 6 | 5 | 18 | 48 | 15.00 |
\n",
"\t10086 | 10000005 | 10000035 | 10000537 | M | 30 | 6 | 5 | 16 | 25 | 0.00 |
\n",
"\t10086 | 10000337 | 10000035 | 10000537 | F | 34 | 6 | 3 | 0 | 10 | 2.30 |
\n",
"\t10086 | 10000035 | 10000314 | 10000483 | M | 58 | 6 | 5 | 21 | 24 | 0.60 |
\n",
"\t10086 | 10000537 | 0 | 0 | F | 57 | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10086 | 10000153 | 10000314 | 10000483 | M | 57 | 6 | 5 | 25 | 24 | 128.00 |
\n",
"\t10086 | 10000314 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\t10086 | 10000483 | 0 | 0 | F | 0 | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllllll}\n",
" familyID & individualID & IDFather & IDMother & sex & age & ethnicity & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\t 10084 & 10000089 & 10000526 & 10000031 & F & 30 & 6 & 5 & 16 & 24 & 17.000 \\\\\n",
"\t 10084 & 10000758 & 10000526 & 10000031 & F & 31 & 6 & 5 & 30 & 12 & 16.000 \\\\\n",
"\t 10084 & 10001094 & 0 & 0 & M & 0 & 0 & 0 & 0 & -9 & -9.000 \\\\\n",
"\t 10084 & 10000133 & 10001094 & 10000758 & M & 18 & 6 & 3 & 0 & 18 & 0.450 \\\\\n",
"\t 10084 & 10001039 & 10000526 & 10000031 & M & 28 & 6 & 5 & 16 & 40 & 0.000 \\\\\n",
"\t 10084 & 10000194 & 10000526 & 10000031 & F & 24 & 6 & 3 & 0 & 20 & 8.000 \\\\\n",
"\t 10084 & 10000526 & 0 & 0 & M & 60 & 6 & 5 & 38 & 24 & 42.000 \\\\\n",
"\t 10084 & 10000031 & 0 & 0 & F & 60 & 6 & 3 & 0 & 7 & 58.500 \\\\\n",
"\t 10130 & 10001565 & 10001436 & 10001364 & F & 38 & 6 & 5 & 18 & 75 & 30.000 \\\\\n",
"\t 10130 & 10000919 & 10001436 & 10001364 & M & 40 & 6 & 5 & 33 & 48 & 0.000 \\\\\n",
"\t 10130 & 10000299 & 10001436 & 10001364 & F & 32 & 6 & 5 & 17 & 36 & 32.000 \\\\\n",
"\t 10130 & 10000489 & 10001436 & 10001364 & M & 27 & 6 & 3 & 0 & 12 & 0.000 \\\\\n",
"\t 10130 & 10001436 & 0 & 0 & M & 62 & 6 & 3 & 0 & 10 & 42.000 \\\\\n",
"\t 10130 & 10001364 & 0 & 0 & F & 61 & 6 & 1 & 0 & 5 & 0.125 \\\\\n",
"\t 10038 & 10000572 & 10001250 & 10001511 & F & 28 & 6 & 5 & 15 & 48 & 12.000 \\\\\n",
"\t 10038 & 10000272 & 10001250 & 10001511 & M & 26 & 6 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001295 & 10001250 & 10001511 & F & 25 & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10038 & 10000598 & 10001250 & 10001511 & M & 22 & 6 & 5 & 15 & 71 & 12.000 \\\\\n",
"\t 10038 & 10001250 & 0 & 0 & M & 68 & 6 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001511 & 0 & 0 & F & 52 & 6 & 3 & 0 & 14 & 31.000 \\\\\n",
"\t 10006 & 10000264 & 10000130 & 10000650 & M & 34 & 6 & 5 & 16 & 26 & 0.000 \\\\\n",
"\t 10006 & 10000025 & 10000130 & 10000650 & M & 35 & 6 & 5 & 18 & 36 & 13.000 \\\\\n",
"\t 10006 & 10000707 & 10000130 & 10000650 & M & 26 & 6 & 5 & 20 & 15 & 6.000 \\\\\n",
"\t 10006 & 10001405 & 10000130 & 10000650 & F & 28 & 6 & 5 & 23 & 10 & 0.000 \\\\\n",
"\t 10006 & 10000130 & 0 & 0 & M & 58 & 6 & 5 & 30 & 24 & -9.000 \\\\\n",
"\t 10006 & 10000650 & 0 & 0 & F & 59 & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000398 & 0 & 0 & M & 58 & 6 & 5 & 24 & 42 & 41.000 \\\\\n",
"\t 10027 & 10000382 & 0 & 0 & F & 65 & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000861 & 10000398 & 10000382 & F & 38 & 6 & 3 & 0 & 5 & 14.000 \\\\\n",
"\t 10027 & 10000915 & 0 & 0 & M & 44 & 1 & 5 & 0 & 20 & 23.000 \\\\\n",
"\t ... & ... & ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n",
"\t 10026 & 10001144 & 0 & 0 & M & 49 & 6 & 3 & 0 & 24 & 51.00 \\\\\n",
"\t 10026 & 10000769 & 0 & 0 & F & 53 & 6 & 1 & 0 & 6 & 35.00 \\\\\n",
"\t 10005 & 10001357 & 10000016 & 10000066 & F & 40 & 6 & 5 & 39 & 13 & 0.00 \\\\\n",
"\t 10005 & 10000425 & 0 & 0 & M & 41 & 6 & 3 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10001547 & 10000425 & 10001357 & M & 23 & 6 & 5 & 20 & 24 & 4.50 \\\\\n",
"\t 10005 & 10000350 & 10000425 & 10001357 & M & 21 & 6 & 5 & 19 & 36 & 6.00 \\\\\n",
"\t 10005 & 10000747 & 10000425 & 10001357 & F & 18 & 6 & 1 & 0 & 8 & 0.15 \\\\\n",
"\t 10005 & 10000267 & 10000016 & 10000066 & F & 29 & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10000049 & 10000016 & 10000066 & F & 37 & 6 & 5 & 25 & 30 & 10.00 \\\\\n",
"\t 10005 & 10000393 & 10000016 & 10000066 & F & 39 & 6 & 3 & 0 & 8 & 19.00 \\\\\n",
"\t 10005 & 10000016 & 0 & 0 & M & 62 & 6 & 5 & 23 & 52 & 0.00 \\\\\n",
"\t 10005 & 10000066 & 0 & 0 & F & 58 & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10000376 & 10000820 & 10000516 & F & 29 & 7 & 5 & 18 & 32 & 10.00 \\\\\n",
"\t 10138 & 10000556 & 10000820 & 10000516 & F & 27 & 7 & 3 & 0 & 4 & 4.50 \\\\\n",
"\t 10138 & 10001313 & 10000820 & 10000516 & M & 40 & 7 & 5 & 25 & 32 & 13.00 \\\\\n",
"\t 10138 & 10000322 & 10000820 & 10000516 & M & 39 & 7 & 5 & 22 & 24 & 14.00 \\\\\n",
"\t 10138 & 10000255 & 10000820 & 10000516 & F & 41 & 7 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10001416 & 10000820 & 10000516 & F & 35 & 7 & 5 & 21 & 25 & 3.00 \\\\\n",
"\t 10138 & 10000961 & 10000820 & 10000516 & F & 38 & 7 & 1 & 0 & 5 & 0.00 \\\\\n",
"\t 10138 & 10000820 & 0 & 0 & M & 70 & 7 & 5 & 20 & 14 & 39.50 \\\\\n",
"\t 10138 & 10000516 & 0 & 0 & F & 59 & 6 & 1 & 0 & 2 & 0.00 \\\\\n",
"\t 10138 & 10000759 & 10000820 & 10000516 & F & 34 & 7 & 1 & 0 & 1 & 0.00 \\\\\n",
"\t 10086 & 10000663 & 10000035 & 10000537 & M & 35 & 6 & 5 & 18 & 48 & 15.00 \\\\\n",
"\t 10086 & 10000005 & 10000035 & 10000537 & M & 30 & 6 & 5 & 16 & 25 & 0.00 \\\\\n",
"\t 10086 & 10000337 & 10000035 & 10000537 & F & 34 & 6 & 3 & 0 & 10 & 2.30 \\\\\n",
"\t 10086 & 10000035 & 10000314 & 10000483 & M & 58 & 6 & 5 & 21 & 24 & 0.60 \\\\\n",
"\t 10086 & 10000537 & 0 & 0 & F & 57 & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10086 & 10000153 & 10000314 & 10000483 & M & 57 & 6 & 5 & 25 & 24 & 128.00 \\\\\n",
"\t 10086 & 10000314 & 0 & 0 & M & 0 & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\t 10086 & 10000483 & 0 & 0 & F & 0 & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| familyID | individualID | IDFather | IDMother | sex | age | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
"|---|---|---|---|---|---|---|---|---|---|---|\n",
"| 10084 | 10000089 | 10000526 | 10000031 | F | 30 | 6 | 5 | 16 | 24 | 17.000 |\n",
"| 10084 | 10000758 | 10000526 | 10000031 | F | 31 | 6 | 5 | 30 | 12 | 16.000 |\n",
"| 10084 | 10001094 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.000 |\n",
"| 10084 | 10000133 | 10001094 | 10000758 | M | 18 | 6 | 3 | 0 | 18 | 0.450 |\n",
"| 10084 | 10001039 | 10000526 | 10000031 | M | 28 | 6 | 5 | 16 | 40 | 0.000 |\n",
"| 10084 | 10000194 | 10000526 | 10000031 | F | 24 | 6 | 3 | 0 | 20 | 8.000 |\n",
"| 10084 | 10000526 | 0 | 0 | M | 60 | 6 | 5 | 38 | 24 | 42.000 |\n",
"| 10084 | 10000031 | 0 | 0 | F | 60 | 6 | 3 | 0 | 7 | 58.500 |\n",
"| 10130 | 10001565 | 10001436 | 10001364 | F | 38 | 6 | 5 | 18 | 75 | 30.000 |\n",
"| 10130 | 10000919 | 10001436 | 10001364 | M | 40 | 6 | 5 | 33 | 48 | 0.000 |\n",
"| 10130 | 10000299 | 10001436 | 10001364 | F | 32 | 6 | 5 | 17 | 36 | 32.000 |\n",
"| 10130 | 10000489 | 10001436 | 10001364 | M | 27 | 6 | 3 | 0 | 12 | 0.000 |\n",
"| 10130 | 10001436 | 0 | 0 | M | 62 | 6 | 3 | 0 | 10 | 42.000 |\n",
"| 10130 | 10001364 | 0 | 0 | F | 61 | 6 | 1 | 0 | 5 | 0.125 |\n",
"| 10038 | 10000572 | 10001250 | 10001511 | F | 28 | 6 | 5 | 15 | 48 | 12.000 |\n",
"| 10038 | 10000272 | 10001250 | 10001511 | M | 26 | 6 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001295 | 10001250 | 10001511 | F | 25 | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10038 | 10000598 | 10001250 | 10001511 | M | 22 | 6 | 5 | 15 | 71 | 12.000 |\n",
"| 10038 | 10001250 | 0 | 0 | M | 68 | 6 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001511 | 0 | 0 | F | 52 | 6 | 3 | 0 | 14 | 31.000 |\n",
"| 10006 | 10000264 | 10000130 | 10000650 | M | 34 | 6 | 5 | 16 | 26 | 0.000 |\n",
"| 10006 | 10000025 | 10000130 | 10000650 | M | 35 | 6 | 5 | 18 | 36 | 13.000 |\n",
"| 10006 | 10000707 | 10000130 | 10000650 | M | 26 | 6 | 5 | 20 | 15 | 6.000 |\n",
"| 10006 | 10001405 | 10000130 | 10000650 | F | 28 | 6 | 5 | 23 | 10 | 0.000 |\n",
"| 10006 | 10000130 | 0 | 0 | M | 58 | 6 | 5 | 30 | 24 | -9.000 |\n",
"| 10006 | 10000650 | 0 | 0 | F | 59 | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000398 | 0 | 0 | M | 58 | 6 | 5 | 24 | 42 | 41.000 |\n",
"| 10027 | 10000382 | 0 | 0 | F | 65 | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000861 | 10000398 | 10000382 | F | 38 | 6 | 3 | 0 | 5 | 14.000 |\n",
"| 10027 | 10000915 | 0 | 0 | M | 44 | 1 | 5 | 0 | 20 | 23.000 |\n",
"| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |\n",
"| 10026 | 10001144 | 0 | 0 | M | 49 | 6 | 3 | 0 | 24 | 51.00 |\n",
"| 10026 | 10000769 | 0 | 0 | F | 53 | 6 | 1 | 0 | 6 | 35.00 |\n",
"| 10005 | 10001357 | 10000016 | 10000066 | F | 40 | 6 | 5 | 39 | 13 | 0.00 |\n",
"| 10005 | 10000425 | 0 | 0 | M | 41 | 6 | 3 | 0 | 6 | 0.00 |\n",
"| 10005 | 10001547 | 10000425 | 10001357 | M | 23 | 6 | 5 | 20 | 24 | 4.50 |\n",
"| 10005 | 10000350 | 10000425 | 10001357 | M | 21 | 6 | 5 | 19 | 36 | 6.00 |\n",
"| 10005 | 10000747 | 10000425 | 10001357 | F | 18 | 6 | 1 | 0 | 8 | 0.15 |\n",
"| 10005 | 10000267 | 10000016 | 10000066 | F | 29 | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10005 | 10000049 | 10000016 | 10000066 | F | 37 | 6 | 5 | 25 | 30 | 10.00 |\n",
"| 10005 | 10000393 | 10000016 | 10000066 | F | 39 | 6 | 3 | 0 | 8 | 19.00 |\n",
"| 10005 | 10000016 | 0 | 0 | M | 62 | 6 | 5 | 23 | 52 | 0.00 |\n",
"| 10005 | 10000066 | 0 | 0 | F | 58 | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10000376 | 10000820 | 10000516 | F | 29 | 7 | 5 | 18 | 32 | 10.00 |\n",
"| 10138 | 10000556 | 10000820 | 10000516 | F | 27 | 7 | 3 | 0 | 4 | 4.50 |\n",
"| 10138 | 10001313 | 10000820 | 10000516 | M | 40 | 7 | 5 | 25 | 32 | 13.00 |\n",
"| 10138 | 10000322 | 10000820 | 10000516 | M | 39 | 7 | 5 | 22 | 24 | 14.00 |\n",
"| 10138 | 10000255 | 10000820 | 10000516 | F | 41 | 7 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10001416 | 10000820 | 10000516 | F | 35 | 7 | 5 | 21 | 25 | 3.00 |\n",
"| 10138 | 10000961 | 10000820 | 10000516 | F | 38 | 7 | 1 | 0 | 5 | 0.00 |\n",
"| 10138 | 10000820 | 0 | 0 | M | 70 | 7 | 5 | 20 | 14 | 39.50 |\n",
"| 10138 | 10000516 | 0 | 0 | F | 59 | 6 | 1 | 0 | 2 | 0.00 |\n",
"| 10138 | 10000759 | 10000820 | 10000516 | F | 34 | 7 | 1 | 0 | 1 | 0.00 |\n",
"| 10086 | 10000663 | 10000035 | 10000537 | M | 35 | 6 | 5 | 18 | 48 | 15.00 |\n",
"| 10086 | 10000005 | 10000035 | 10000537 | M | 30 | 6 | 5 | 16 | 25 | 0.00 |\n",
"| 10086 | 10000337 | 10000035 | 10000537 | F | 34 | 6 | 3 | 0 | 10 | 2.30 |\n",
"| 10086 | 10000035 | 10000314 | 10000483 | M | 58 | 6 | 5 | 21 | 24 | 0.60 |\n",
"| 10086 | 10000537 | 0 | 0 | F | 57 | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10086 | 10000153 | 10000314 | 10000483 | M | 57 | 6 | 5 | 25 | 24 | 128.00 |\n",
"| 10086 | 10000314 | 0 | 0 | M | 0 | 0 | 0 | 0 | -9 | -9.00 |\n",
"| 10086 | 10000483 | 0 | 0 | F | 0 | 0 | 0 | 0 | -9 | -9.00 |\n",
"\n"
],
"text/plain": [
" familyID individualID IDFather IDMother sex age ethnicity\n",
"1 10084 10000089 10000526 10000031 F 30 6 \n",
"2 10084 10000758 10000526 10000031 F 31 6 \n",
"3 10084 10001094 0 0 M 0 0 \n",
"4 10084 10000133 10001094 10000758 M 18 6 \n",
"5 10084 10001039 10000526 10000031 M 28 6 \n",
"6 10084 10000194 10000526 10000031 F 24 6 \n",
"7 10084 10000526 0 0 M 60 6 \n",
"8 10084 10000031 0 0 F 60 6 \n",
"9 10130 10001565 10001436 10001364 F 38 6 \n",
"10 10130 10000919 10001436 10001364 M 40 6 \n",
"11 10130 10000299 10001436 10001364 F 32 6 \n",
"12 10130 10000489 10001436 10001364 M 27 6 \n",
"13 10130 10001436 0 0 M 62 6 \n",
"14 10130 10001364 0 0 F 61 6 \n",
"15 10038 10000572 10001250 10001511 F 28 6 \n",
"16 10038 10000272 10001250 10001511 M 26 6 \n",
"17 10038 10001295 10001250 10001511 F 25 6 \n",
"18 10038 10000598 10001250 10001511 M 22 6 \n",
"19 10038 10001250 0 0 M 68 6 \n",
"20 10038 10001511 0 0 F 52 6 \n",
"21 10006 10000264 10000130 10000650 M 34 6 \n",
"22 10006 10000025 10000130 10000650 M 35 6 \n",
"23 10006 10000707 10000130 10000650 M 26 6 \n",
"24 10006 10001405 10000130 10000650 F 28 6 \n",
"25 10006 10000130 0 0 M 58 6 \n",
"26 10006 10000650 0 0 F 59 6 \n",
"27 10027 10000398 0 0 M 58 6 \n",
"28 10027 10000382 0 0 F 65 6 \n",
"29 10027 10000861 10000398 10000382 F 38 6 \n",
"30 10027 10000915 0 0 M 44 1 \n",
"... ... ... ... ... ... ... ... \n",
"1585 10026 10001144 0 0 M 49 6 \n",
"1586 10026 10000769 0 0 F 53 6 \n",
"1587 10005 10001357 10000016 10000066 F 40 6 \n",
"1588 10005 10000425 0 0 M 41 6 \n",
"1589 10005 10001547 10000425 10001357 M 23 6 \n",
"1590 10005 10000350 10000425 10001357 M 21 6 \n",
"1591 10005 10000747 10000425 10001357 F 18 6 \n",
"1592 10005 10000267 10000016 10000066 F 29 6 \n",
"1593 10005 10000049 10000016 10000066 F 37 6 \n",
"1594 10005 10000393 10000016 10000066 F 39 6 \n",
"1595 10005 10000016 0 0 M 62 6 \n",
"1596 10005 10000066 0 0 F 58 6 \n",
"1597 10138 10000376 10000820 10000516 F 29 7 \n",
"1598 10138 10000556 10000820 10000516 F 27 7 \n",
"1599 10138 10001313 10000820 10000516 M 40 7 \n",
"1600 10138 10000322 10000820 10000516 M 39 7 \n",
"1601 10138 10000255 10000820 10000516 F 41 7 \n",
"1602 10138 10001416 10000820 10000516 F 35 7 \n",
"1603 10138 10000961 10000820 10000516 F 38 7 \n",
"1604 10138 10000820 0 0 M 70 7 \n",
"1605 10138 10000516 0 0 F 59 6 \n",
"1606 10138 10000759 10000820 10000516 F 34 7 \n",
"1607 10086 10000663 10000035 10000537 M 35 6 \n",
"1608 10086 10000005 10000035 10000537 M 30 6 \n",
"1609 10086 10000337 10000035 10000537 F 34 6 \n",
"1610 10086 10000035 10000314 10000483 M 58 6 \n",
"1611 10086 10000537 0 0 F 57 6 \n",
"1612 10086 10000153 10000314 10000483 M 57 6 \n",
"1613 10086 10000314 0 0 M 0 0 \n",
"1614 10086 10000483 0 0 F 0 0 \n",
" alcoholDependence AgeOnset MaxDinks packsDay\n",
"1 5 16 24 17.000 \n",
"2 5 30 12 16.000 \n",
"3 0 0 -9 -9.000 \n",
"4 3 0 18 0.450 \n",
"5 5 16 40 0.000 \n",
"6 3 0 20 8.000 \n",
"7 5 38 24 42.000 \n",
"8 3 0 7 58.500 \n",
"9 5 18 75 30.000 \n",
"10 5 33 48 0.000 \n",
"11 5 17 36 32.000 \n",
"12 3 0 12 0.000 \n",
"13 3 0 10 42.000 \n",
"14 1 0 5 0.125 \n",
"15 5 15 48 12.000 \n",
"16 3 0 10 0.000 \n",
"17 1 0 3 0.000 \n",
"18 5 15 71 12.000 \n",
"19 3 0 10 0.000 \n",
"20 3 0 14 31.000 \n",
"21 5 16 26 0.000 \n",
"22 5 18 36 13.000 \n",
"23 5 20 15 6.000 \n",
"24 5 23 10 0.000 \n",
"25 5 30 24 -9.000 \n",
"26 1 0 3 0.000 \n",
"27 5 24 42 41.000 \n",
"28 1 0 3 0.000 \n",
"29 3 0 5 14.000 \n",
"30 5 0 20 23.000 \n",
"... ... ... ... ... \n",
"1585 3 0 24 51.00 \n",
"1586 1 0 6 35.00 \n",
"1587 5 39 13 0.00 \n",
"1588 3 0 6 0.00 \n",
"1589 5 20 24 4.50 \n",
"1590 5 19 36 6.00 \n",
"1591 1 0 8 0.15 \n",
"1592 1 0 6 0.00 \n",
"1593 5 25 30 10.00 \n",
"1594 3 0 8 19.00 \n",
"1595 5 23 52 0.00 \n",
"1596 1 0 6 0.00 \n",
"1597 5 18 32 10.00 \n",
"1598 3 0 4 4.50 \n",
"1599 5 25 32 13.00 \n",
"1600 5 22 24 14.00 \n",
"1601 1 0 6 0.00 \n",
"1602 5 21 25 3.00 \n",
"1603 1 0 5 0.00 \n",
"1604 5 20 14 39.50 \n",
"1605 1 0 2 0.00 \n",
"1606 1 0 1 0.00 \n",
"1607 5 18 48 15.00 \n",
"1608 5 16 25 0.00 \n",
"1609 3 0 10 2.30 \n",
"1610 5 21 24 0.60 \n",
"1611 1 0 6 0.00 \n",
"1612 5 25 24 128.00 \n",
"1613 0 0 -9 -9.00 \n",
"1614 0 0 -9 -9.00 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Eksploracja danych"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
" familyID individualID IDFather IDMother sex \n",
" Min. :10001 Min. :1e+07 Min. : 0 Min. : 0 F:788 \n",
" 1st Qu.:10033 1st Qu.:1e+07 1st Qu.: 0 1st Qu.: 0 M:826 \n",
" Median :10068 Median :1e+07 Median :10000446 Median :10000403 \n",
" Mean :10070 Mean :1e+07 Mean : 6871685 Mean : 6871658 \n",
" 3rd Qu.:10106 3rd Qu.:1e+07 3rd Qu.:10001052 3rd Qu.:10001005 \n",
" Max. :10143 Max. :1e+07 Max. :10001609 Max. :10001607 \n",
" age ethnicity alcoholDependence AgeOnset \n",
" Min. : 0.00 Min. :0.000 Min. :0.000 Min. : 0.000 \n",
" 1st Qu.:23.00 1st Qu.:4.000 1st Qu.:1.000 1st Qu.: 0.000 \n",
" Median :34.00 Median :6.000 Median :3.000 Median : 0.000 \n",
" Mean :34.48 Mean :4.922 Mean :3.006 Mean : 8.769 \n",
" 3rd Qu.:47.00 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:18.000 \n",
" Max. :91.00 Max. :8.000 Max. :5.000 Max. :66.000 \n",
" MaxDinks packsDay \n",
" Min. :-9.00 Min. : -9.000 \n",
" 1st Qu.: 3.00 1st Qu.: 0.000 \n",
" Median :10.00 Median : 1.587 \n",
" Mean :13.71 Mean : 11.674 \n",
" 3rd Qu.:22.75 3rd Qu.: 18.000 \n",
" Max. :96.00 Max. :193.000 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(gaw)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"boxplot(gaw$age ~ gaw$sex, xlab = \"płeć\", ylab = \"wiek\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
" F M \n",
"158 379 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#gaw$sex #wyciąganie kolumny sex\n",
"table(gaw[gaw$age > 30 & gaw$MaxDinks > 10,5])"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"sex |
\n",
"\n",
"\tF |
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"\tM |
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"\tF |
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"\tF |
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],
"text/latex": [
"\\begin{tabular}{r|l}\n",
" sex\\\\\n",
"\\hline\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
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"\t M\\\\\n",
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"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t ...\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
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"\t M\\\\\n",
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"\t F\\\\\n",
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"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
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"\t F\\\\\n",
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"\t M\\\\\n",
"\t M\\\\\n",
"\t F\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\t M\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| sex |\n",
"|---|\n",
"| F |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| F |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| ... |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| F |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"| M |\n",
"\n"
],
"text/plain": [
" sex\n",
"1 F \n",
"2 M \n",
"3 F \n",
"4 M \n",
"5 F \n",
"6 F \n",
"7 M \n",
"8 M \n",
"9 M \n",
"10 M \n",
"11 M \n",
"12 M \n",
"13 F \n",
"14 M \n",
"15 M \n",
"16 M \n",
"17 M \n",
"18 F \n",
"19 F \n",
"20 M \n",
"21 M \n",
"22 M \n",
"23 F \n",
"24 M \n",
"25 M \n",
"26 M \n",
"27 M \n",
"28 M \n",
"29 M \n",
"30 F \n",
"... ...\n",
"508 M \n",
"509 M \n",
"510 F \n",
"511 M \n",
"512 M \n",
"513 M \n",
"514 M \n",
"515 M \n",
"516 M \n",
"517 M \n",
"518 M \n",
"519 F \n",
"520 M \n",
"521 F \n",
"522 M \n",
"523 M \n",
"524 F \n",
"525 F \n",
"526 M \n",
"527 M \n",
"528 F \n",
"529 F \n",
"530 M \n",
"531 M \n",
"532 M \n",
"533 F \n",
"534 M \n",
"535 M \n",
"536 M \n",
"537 M "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw2[age > 30 & MaxDinks > 10, \"sex\"]"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"sex | ethnicity | avgAge |
\n",
"\n",
"\tF | 6 | 56.00 |
\n",
"\tM | 6 | 50.00 |
\n",
"\tM | 1 | 36.00 |
\n",
"\tF | 4 | 45.00 |
\n",
"\tM | 4 | 41.00 |
\n",
"\tF | 1 | 57.50 |
\n",
"\tF | 5 | 49.50 |
\n",
"\tF | 8 | 56.25 |
\n",
"\tF | 3 | 53.50 |
\n",
"\tM | 8 | 31.75 |
\n",
"\tF | 7 | 49.00 |
\n",
"\tM | 7 | 51.50 |
\n",
"\tM | 5 | 29.00 |
\n",
"\tM | 3 | 56.25 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lll}\n",
" sex & ethnicity & avgAge\\\\\n",
"\\hline\n",
"\t F & 6 & 56.00\\\\\n",
"\t M & 6 & 50.00\\\\\n",
"\t M & 1 & 36.00\\\\\n",
"\t F & 4 & 45.00\\\\\n",
"\t M & 4 & 41.00\\\\\n",
"\t F & 1 & 57.50\\\\\n",
"\t F & 5 & 49.50\\\\\n",
"\t F & 8 & 56.25\\\\\n",
"\t F & 3 & 53.50\\\\\n",
"\t M & 8 & 31.75\\\\\n",
"\t F & 7 & 49.00\\\\\n",
"\t M & 7 & 51.50\\\\\n",
"\t M & 5 & 29.00\\\\\n",
"\t M & 3 & 56.25\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| sex | ethnicity | avgAge |\n",
"|---|---|---|\n",
"| F | 6 | 56.00 |\n",
"| M | 6 | 50.00 |\n",
"| M | 1 | 36.00 |\n",
"| F | 4 | 45.00 |\n",
"| M | 4 | 41.00 |\n",
"| F | 1 | 57.50 |\n",
"| F | 5 | 49.50 |\n",
"| F | 8 | 56.25 |\n",
"| F | 3 | 53.50 |\n",
"| M | 8 | 31.75 |\n",
"| F | 7 | 49.00 |\n",
"| M | 7 | 51.50 |\n",
"| M | 5 | 29.00 |\n",
"| M | 3 | 56.25 |\n",
"\n"
],
"text/plain": [
" sex ethnicity avgAge\n",
"1 F 6 56.00 \n",
"2 M 6 50.00 \n",
"3 M 1 36.00 \n",
"4 F 4 45.00 \n",
"5 M 4 41.00 \n",
"6 F 1 57.50 \n",
"7 F 5 49.50 \n",
"8 F 8 56.25 \n",
"9 F 3 53.50 \n",
"10 M 8 31.75 \n",
"11 F 7 49.00 \n",
"12 M 7 51.50 \n",
"13 M 5 29.00 \n",
"14 M 3 56.25 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#mean(gaw2[, \"age\"])\n",
"gaw2[ethnicity != 0 & age != 0, .(avgAge = quantile(age, 0.75)),by = .(sex, ethnicity)]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" | IDMother | sex | MaxDinks |
\n",
"\n",
"\t1 | 10000031 | F | 24 |
\n",
"\t2 | 10000031 | F | 12 |
\n",
"\t3 | 0 | M | -9 |
\n",
"\t4 | 10000758 | M | 18 |
\n",
"\t5 | 10000031 | M | 40 |
\n",
"\t6 | 10000031 | F | 20 |
\n",
"\t7 | 0 | M | 24 |
\n",
"\t8 | 0 | F | 7 |
\n",
"\t9 | 10001364 | F | 75 |
\n",
"\t10 | 10001364 | M | 48 |
\n",
"\t11 | 10001364 | F | 36 |
\n",
"\t12 | 10001364 | M | 12 |
\n",
"\t13 | 0 | M | 10 |
\n",
"\t14 | 0 | F | 5 |
\n",
"\t15 | 10001511 | F | 48 |
\n",
"\t16 | 10001511 | M | 10 |
\n",
"\t17 | 10001511 | F | 3 |
\n",
"\t18 | 10001511 | M | 71 |
\n",
"\t19 | 0 | M | 10 |
\n",
"\t20 | 0 | F | 14 |
\n",
"\t21 | 10000650 | M | 26 |
\n",
"\t22 | 10000650 | M | 36 |
\n",
"\t23 | 10000650 | M | 15 |
\n",
"\t24 | 10000650 | F | 10 |
\n",
"\t25 | 0 | M | 24 |
\n",
"\t26 | 0 | F | 3 |
\n",
"\t27 | 0 | M | 42 |
\n",
"\t28 | 0 | F | 3 |
\n",
"\t29 | 10000382 | F | 5 |
\n",
"\t30 | 0 | M | 20 |
\n",
"\t31 | 10000861 | F | 8 |
\n",
"\t32 | 10000382 | M | 20 |
\n",
"\t33 | 10000382 | F | 6 |
\n",
"\t34 | 10000382 | F | 15 |
\n",
"\t35 | 0 | M | -9 |
\n",
"\t36 | 10000861 | M | 31 |
\n",
"\t37 | 10000815 | M | 50 |
\n",
"\t38 | 0 | M | 6 |
\n",
"\t39 | 10000815 | M | 15 |
\n",
"\t40 | 10000815 | M | 64 |
\n",
"\t41 | 0 | F | 8 |
\n",
"\t42 | 10001081 | M | 36 |
\n",
"\t43 | 0 | F | 2 |
\n",
"\t44 | 10001268 | F | 5 |
\n",
"\t45 | 10001268 | F | 4 |
\n",
"\t46 | 10001081 | M | 15 |
\n",
"\t47 | 0 | F | 4 |
\n",
"\t48 | 10000905 | F | 10 |
\n",
"\t49 | 10001081 | F | 1 |
\n",
"\t50 | 10001081 | M | 12 |
\n",
"\t76 | 10000532 | F | 6 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lll}\n",
" & IDMother & sex & MaxDinks\\\\\n",
"\\hline\n",
"\t1 & 10000031 & F & 24 \\\\\n",
"\t2 & 10000031 & F & 12 \\\\\n",
"\t3 & 0 & M & -9 \\\\\n",
"\t4 & 10000758 & M & 18 \\\\\n",
"\t5 & 10000031 & M & 40 \\\\\n",
"\t6 & 10000031 & F & 20 \\\\\n",
"\t7 & 0 & M & 24 \\\\\n",
"\t8 & 0 & F & 7 \\\\\n",
"\t9 & 10001364 & F & 75 \\\\\n",
"\t10 & 10001364 & M & 48 \\\\\n",
"\t11 & 10001364 & F & 36 \\\\\n",
"\t12 & 10001364 & M & 12 \\\\\n",
"\t13 & 0 & M & 10 \\\\\n",
"\t14 & 0 & F & 5 \\\\\n",
"\t15 & 10001511 & F & 48 \\\\\n",
"\t16 & 10001511 & M & 10 \\\\\n",
"\t17 & 10001511 & F & 3 \\\\\n",
"\t18 & 10001511 & M & 71 \\\\\n",
"\t19 & 0 & M & 10 \\\\\n",
"\t20 & 0 & F & 14 \\\\\n",
"\t21 & 10000650 & M & 26 \\\\\n",
"\t22 & 10000650 & M & 36 \\\\\n",
"\t23 & 10000650 & M & 15 \\\\\n",
"\t24 & 10000650 & F & 10 \\\\\n",
"\t25 & 0 & M & 24 \\\\\n",
"\t26 & 0 & F & 3 \\\\\n",
"\t27 & 0 & M & 42 \\\\\n",
"\t28 & 0 & F & 3 \\\\\n",
"\t29 & 10000382 & F & 5 \\\\\n",
"\t30 & 0 & M & 20 \\\\\n",
"\t31 & 10000861 & F & 8 \\\\\n",
"\t32 & 10000382 & M & 20 \\\\\n",
"\t33 & 10000382 & F & 6 \\\\\n",
"\t34 & 10000382 & F & 15 \\\\\n",
"\t35 & 0 & M & -9 \\\\\n",
"\t36 & 10000861 & M & 31 \\\\\n",
"\t37 & 10000815 & M & 50 \\\\\n",
"\t38 & 0 & M & 6 \\\\\n",
"\t39 & 10000815 & M & 15 \\\\\n",
"\t40 & 10000815 & M & 64 \\\\\n",
"\t41 & 0 & F & 8 \\\\\n",
"\t42 & 10001081 & M & 36 \\\\\n",
"\t43 & 0 & F & 2 \\\\\n",
"\t44 & 10001268 & F & 5 \\\\\n",
"\t45 & 10001268 & F & 4 \\\\\n",
"\t46 & 10001081 & M & 15 \\\\\n",
"\t47 & 0 & F & 4 \\\\\n",
"\t48 & 10000905 & F & 10 \\\\\n",
"\t49 & 10001081 & F & 1 \\\\\n",
"\t50 & 10001081 & M & 12 \\\\\n",
"\t76 & 10000532 & F & 6 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| | IDMother | sex | MaxDinks |\n",
"|---|---|---|---|\n",
"| 1 | 10000031 | F | 24 |\n",
"| 2 | 10000031 | F | 12 |\n",
"| 3 | 0 | M | -9 |\n",
"| 4 | 10000758 | M | 18 |\n",
"| 5 | 10000031 | M | 40 |\n",
"| 6 | 10000031 | F | 20 |\n",
"| 7 | 0 | M | 24 |\n",
"| 8 | 0 | F | 7 |\n",
"| 9 | 10001364 | F | 75 |\n",
"| 10 | 10001364 | M | 48 |\n",
"| 11 | 10001364 | F | 36 |\n",
"| 12 | 10001364 | M | 12 |\n",
"| 13 | 0 | M | 10 |\n",
"| 14 | 0 | F | 5 |\n",
"| 15 | 10001511 | F | 48 |\n",
"| 16 | 10001511 | M | 10 |\n",
"| 17 | 10001511 | F | 3 |\n",
"| 18 | 10001511 | M | 71 |\n",
"| 19 | 0 | M | 10 |\n",
"| 20 | 0 | F | 14 |\n",
"| 21 | 10000650 | M | 26 |\n",
"| 22 | 10000650 | M | 36 |\n",
"| 23 | 10000650 | M | 15 |\n",
"| 24 | 10000650 | F | 10 |\n",
"| 25 | 0 | M | 24 |\n",
"| 26 | 0 | F | 3 |\n",
"| 27 | 0 | M | 42 |\n",
"| 28 | 0 | F | 3 |\n",
"| 29 | 10000382 | F | 5 |\n",
"| 30 | 0 | M | 20 |\n",
"| 31 | 10000861 | F | 8 |\n",
"| 32 | 10000382 | M | 20 |\n",
"| 33 | 10000382 | F | 6 |\n",
"| 34 | 10000382 | F | 15 |\n",
"| 35 | 0 | M | -9 |\n",
"| 36 | 10000861 | M | 31 |\n",
"| 37 | 10000815 | M | 50 |\n",
"| 38 | 0 | M | 6 |\n",
"| 39 | 10000815 | M | 15 |\n",
"| 40 | 10000815 | M | 64 |\n",
"| 41 | 0 | F | 8 |\n",
"| 42 | 10001081 | M | 36 |\n",
"| 43 | 0 | F | 2 |\n",
"| 44 | 10001268 | F | 5 |\n",
"| 45 | 10001268 | F | 4 |\n",
"| 46 | 10001081 | M | 15 |\n",
"| 47 | 0 | F | 4 |\n",
"| 48 | 10000905 | F | 10 |\n",
"| 49 | 10001081 | F | 1 |\n",
"| 50 | 10001081 | M | 12 |\n",
"| 76 | 10000532 | F | 6 |\n",
"\n"
],
"text/plain": [
" IDMother sex MaxDinks\n",
"1 10000031 F 24 \n",
"2 10000031 F 12 \n",
"3 0 M -9 \n",
"4 10000758 M 18 \n",
"5 10000031 M 40 \n",
"6 10000031 F 20 \n",
"7 0 M 24 \n",
"8 0 F 7 \n",
"9 10001364 F 75 \n",
"10 10001364 M 48 \n",
"11 10001364 F 36 \n",
"12 10001364 M 12 \n",
"13 0 M 10 \n",
"14 0 F 5 \n",
"15 10001511 F 48 \n",
"16 10001511 M 10 \n",
"17 10001511 F 3 \n",
"18 10001511 M 71 \n",
"19 0 M 10 \n",
"20 0 F 14 \n",
"21 10000650 M 26 \n",
"22 10000650 M 36 \n",
"23 10000650 M 15 \n",
"24 10000650 F 10 \n",
"25 0 M 24 \n",
"26 0 F 3 \n",
"27 0 M 42 \n",
"28 0 F 3 \n",
"29 10000382 F 5 \n",
"30 0 M 20 \n",
"31 10000861 F 8 \n",
"32 10000382 M 20 \n",
"33 10000382 F 6 \n",
"34 10000382 F 15 \n",
"35 0 M -9 \n",
"36 10000861 M 31 \n",
"37 10000815 M 50 \n",
"38 0 M 6 \n",
"39 10000815 M 15 \n",
"40 10000815 M 64 \n",
"41 0 F 8 \n",
"42 10001081 M 36 \n",
"43 0 F 2 \n",
"44 10001268 F 5 \n",
"45 10001268 F 4 \n",
"46 10001081 M 15 \n",
"47 0 F 4 \n",
"48 10000905 F 10 \n",
"49 10001081 F 1 \n",
"50 10001081 M 12 \n",
"76 10000532 F 6 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw[c(1:50,76),c(4, 5, 10)] #wyciąganie wierszy od 1 do 50 i 76 z kolumn 4, 5 i 10"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"familyID | individualID | IDFather | IDMother | age | alcoholDependence | AgeOnset | MaxDinks | packsDay |
\n",
"\n",
"\t10084 | 10000089 | 10000526 | 10000031 | 30 | 5 | 16 | 24 | 17.000 |
\n",
"\t10084 | 10000758 | 10000526 | 10000031 | 31 | 5 | 30 | 12 | 16.000 |
\n",
"\t10084 | 10001094 | 0 | 0 | 0 | 0 | 0 | -9 | -9.000 |
\n",
"\t10084 | 10000133 | 10001094 | 10000758 | 18 | 3 | 0 | 18 | 0.450 |
\n",
"\t10084 | 10001039 | 10000526 | 10000031 | 28 | 5 | 16 | 40 | 0.000 |
\n",
"\t10084 | 10000194 | 10000526 | 10000031 | 24 | 3 | 0 | 20 | 8.000 |
\n",
"\t10084 | 10000526 | 0 | 0 | 60 | 5 | 38 | 24 | 42.000 |
\n",
"\t10084 | 10000031 | 0 | 0 | 60 | 3 | 0 | 7 | 58.500 |
\n",
"\t10130 | 10001565 | 10001436 | 10001364 | 38 | 5 | 18 | 75 | 30.000 |
\n",
"\t10130 | 10000919 | 10001436 | 10001364 | 40 | 5 | 33 | 48 | 0.000 |
\n",
"\t10130 | 10000299 | 10001436 | 10001364 | 32 | 5 | 17 | 36 | 32.000 |
\n",
"\t10130 | 10000489 | 10001436 | 10001364 | 27 | 3 | 0 | 12 | 0.000 |
\n",
"\t10130 | 10001436 | 0 | 0 | 62 | 3 | 0 | 10 | 42.000 |
\n",
"\t10130 | 10001364 | 0 | 0 | 61 | 1 | 0 | 5 | 0.125 |
\n",
"\t10038 | 10000572 | 10001250 | 10001511 | 28 | 5 | 15 | 48 | 12.000 |
\n",
"\t10038 | 10000272 | 10001250 | 10001511 | 26 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001295 | 10001250 | 10001511 | 25 | 1 | 0 | 3 | 0.000 |
\n",
"\t10038 | 10000598 | 10001250 | 10001511 | 22 | 5 | 15 | 71 | 12.000 |
\n",
"\t10038 | 10001250 | 0 | 0 | 68 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001511 | 0 | 0 | 52 | 3 | 0 | 14 | 31.000 |
\n",
"\t10006 | 10000264 | 10000130 | 10000650 | 34 | 5 | 16 | 26 | 0.000 |
\n",
"\t10006 | 10000025 | 10000130 | 10000650 | 35 | 5 | 18 | 36 | 13.000 |
\n",
"\t10006 | 10000707 | 10000130 | 10000650 | 26 | 5 | 20 | 15 | 6.000 |
\n",
"\t10006 | 10001405 | 10000130 | 10000650 | 28 | 5 | 23 | 10 | 0.000 |
\n",
"\t10006 | 10000130 | 0 | 0 | 58 | 5 | 30 | 24 | -9.000 |
\n",
"\t10006 | 10000650 | 0 | 0 | 59 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000398 | 0 | 0 | 58 | 5 | 24 | 42 | 41.000 |
\n",
"\t10027 | 10000382 | 0 | 0 | 65 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000861 | 10000398 | 10000382 | 38 | 3 | 0 | 5 | 14.000 |
\n",
"\t10027 | 10000915 | 0 | 0 | 44 | 5 | 0 | 20 | 23.000 |
\n",
"\t... | ... | ... | ... | ... | ... | ... | ... | ... |
\n",
"\t10026 | 10001144 | 0 | 0 | 49 | 3 | 0 | 24 | 51.00 |
\n",
"\t10026 | 10000769 | 0 | 0 | 53 | 1 | 0 | 6 | 35.00 |
\n",
"\t10005 | 10001357 | 10000016 | 10000066 | 40 | 5 | 39 | 13 | 0.00 |
\n",
"\t10005 | 10000425 | 0 | 0 | 41 | 3 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10001547 | 10000425 | 10001357 | 23 | 5 | 20 | 24 | 4.50 |
\n",
"\t10005 | 10000350 | 10000425 | 10001357 | 21 | 5 | 19 | 36 | 6.00 |
\n",
"\t10005 | 10000747 | 10000425 | 10001357 | 18 | 1 | 0 | 8 | 0.15 |
\n",
"\t10005 | 10000267 | 10000016 | 10000066 | 29 | 1 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10000049 | 10000016 | 10000066 | 37 | 5 | 25 | 30 | 10.00 |
\n",
"\t10005 | 10000393 | 10000016 | 10000066 | 39 | 3 | 0 | 8 | 19.00 |
\n",
"\t10005 | 10000016 | 0 | 0 | 62 | 5 | 23 | 52 | 0.00 |
\n",
"\t10005 | 10000066 | 0 | 0 | 58 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10000376 | 10000820 | 10000516 | 29 | 5 | 18 | 32 | 10.00 |
\n",
"\t10138 | 10000556 | 10000820 | 10000516 | 27 | 3 | 0 | 4 | 4.50 |
\n",
"\t10138 | 10001313 | 10000820 | 10000516 | 40 | 5 | 25 | 32 | 13.00 |
\n",
"\t10138 | 10000322 | 10000820 | 10000516 | 39 | 5 | 22 | 24 | 14.00 |
\n",
"\t10138 | 10000255 | 10000820 | 10000516 | 41 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10001416 | 10000820 | 10000516 | 35 | 5 | 21 | 25 | 3.00 |
\n",
"\t10138 | 10000961 | 10000820 | 10000516 | 38 | 1 | 0 | 5 | 0.00 |
\n",
"\t10138 | 10000820 | 0 | 0 | 70 | 5 | 20 | 14 | 39.50 |
\n",
"\t10138 | 10000516 | 0 | 0 | 59 | 1 | 0 | 2 | 0.00 |
\n",
"\t10138 | 10000759 | 10000820 | 10000516 | 34 | 1 | 0 | 1 | 0.00 |
\n",
"\t10086 | 10000663 | 10000035 | 10000537 | 35 | 5 | 18 | 48 | 15.00 |
\n",
"\t10086 | 10000005 | 10000035 | 10000537 | 30 | 5 | 16 | 25 | 0.00 |
\n",
"\t10086 | 10000337 | 10000035 | 10000537 | 34 | 3 | 0 | 10 | 2.30 |
\n",
"\t10086 | 10000035 | 10000314 | 10000483 | 58 | 5 | 21 | 24 | 0.60 |
\n",
"\t10086 | 10000537 | 0 | 0 | 57 | 1 | 0 | 6 | 0.00 |
\n",
"\t10086 | 10000153 | 10000314 | 10000483 | 57 | 5 | 25 | 24 | 128.00 |
\n",
"\t10086 | 10000314 | 0 | 0 | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\t10086 | 10000483 | 0 | 0 | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllll}\n",
" familyID & individualID & IDFather & IDMother & age & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\t 10084 & 10000089 & 10000526 & 10000031 & 30 & 5 & 16 & 24 & 17.000 \\\\\n",
"\t 10084 & 10000758 & 10000526 & 10000031 & 31 & 5 & 30 & 12 & 16.000 \\\\\n",
"\t 10084 & 10001094 & 0 & 0 & 0 & 0 & 0 & -9 & -9.000 \\\\\n",
"\t 10084 & 10000133 & 10001094 & 10000758 & 18 & 3 & 0 & 18 & 0.450 \\\\\n",
"\t 10084 & 10001039 & 10000526 & 10000031 & 28 & 5 & 16 & 40 & 0.000 \\\\\n",
"\t 10084 & 10000194 & 10000526 & 10000031 & 24 & 3 & 0 & 20 & 8.000 \\\\\n",
"\t 10084 & 10000526 & 0 & 0 & 60 & 5 & 38 & 24 & 42.000 \\\\\n",
"\t 10084 & 10000031 & 0 & 0 & 60 & 3 & 0 & 7 & 58.500 \\\\\n",
"\t 10130 & 10001565 & 10001436 & 10001364 & 38 & 5 & 18 & 75 & 30.000 \\\\\n",
"\t 10130 & 10000919 & 10001436 & 10001364 & 40 & 5 & 33 & 48 & 0.000 \\\\\n",
"\t 10130 & 10000299 & 10001436 & 10001364 & 32 & 5 & 17 & 36 & 32.000 \\\\\n",
"\t 10130 & 10000489 & 10001436 & 10001364 & 27 & 3 & 0 & 12 & 0.000 \\\\\n",
"\t 10130 & 10001436 & 0 & 0 & 62 & 3 & 0 & 10 & 42.000 \\\\\n",
"\t 10130 & 10001364 & 0 & 0 & 61 & 1 & 0 & 5 & 0.125 \\\\\n",
"\t 10038 & 10000572 & 10001250 & 10001511 & 28 & 5 & 15 & 48 & 12.000 \\\\\n",
"\t 10038 & 10000272 & 10001250 & 10001511 & 26 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001295 & 10001250 & 10001511 & 25 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10038 & 10000598 & 10001250 & 10001511 & 22 & 5 & 15 & 71 & 12.000 \\\\\n",
"\t 10038 & 10001250 & 0 & 0 & 68 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001511 & 0 & 0 & 52 & 3 & 0 & 14 & 31.000 \\\\\n",
"\t 10006 & 10000264 & 10000130 & 10000650 & 34 & 5 & 16 & 26 & 0.000 \\\\\n",
"\t 10006 & 10000025 & 10000130 & 10000650 & 35 & 5 & 18 & 36 & 13.000 \\\\\n",
"\t 10006 & 10000707 & 10000130 & 10000650 & 26 & 5 & 20 & 15 & 6.000 \\\\\n",
"\t 10006 & 10001405 & 10000130 & 10000650 & 28 & 5 & 23 & 10 & 0.000 \\\\\n",
"\t 10006 & 10000130 & 0 & 0 & 58 & 5 & 30 & 24 & -9.000 \\\\\n",
"\t 10006 & 10000650 & 0 & 0 & 59 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000398 & 0 & 0 & 58 & 5 & 24 & 42 & 41.000 \\\\\n",
"\t 10027 & 10000382 & 0 & 0 & 65 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000861 & 10000398 & 10000382 & 38 & 3 & 0 & 5 & 14.000 \\\\\n",
"\t 10027 & 10000915 & 0 & 0 & 44 & 5 & 0 & 20 & 23.000 \\\\\n",
"\t ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n",
"\t 10026 & 10001144 & 0 & 0 & 49 & 3 & 0 & 24 & 51.00 \\\\\n",
"\t 10026 & 10000769 & 0 & 0 & 53 & 1 & 0 & 6 & 35.00 \\\\\n",
"\t 10005 & 10001357 & 10000016 & 10000066 & 40 & 5 & 39 & 13 & 0.00 \\\\\n",
"\t 10005 & 10000425 & 0 & 0 & 41 & 3 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10001547 & 10000425 & 10001357 & 23 & 5 & 20 & 24 & 4.50 \\\\\n",
"\t 10005 & 10000350 & 10000425 & 10001357 & 21 & 5 & 19 & 36 & 6.00 \\\\\n",
"\t 10005 & 10000747 & 10000425 & 10001357 & 18 & 1 & 0 & 8 & 0.15 \\\\\n",
"\t 10005 & 10000267 & 10000016 & 10000066 & 29 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10000049 & 10000016 & 10000066 & 37 & 5 & 25 & 30 & 10.00 \\\\\n",
"\t 10005 & 10000393 & 10000016 & 10000066 & 39 & 3 & 0 & 8 & 19.00 \\\\\n",
"\t 10005 & 10000016 & 0 & 0 & 62 & 5 & 23 & 52 & 0.00 \\\\\n",
"\t 10005 & 10000066 & 0 & 0 & 58 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10000376 & 10000820 & 10000516 & 29 & 5 & 18 & 32 & 10.00 \\\\\n",
"\t 10138 & 10000556 & 10000820 & 10000516 & 27 & 3 & 0 & 4 & 4.50 \\\\\n",
"\t 10138 & 10001313 & 10000820 & 10000516 & 40 & 5 & 25 & 32 & 13.00 \\\\\n",
"\t 10138 & 10000322 & 10000820 & 10000516 & 39 & 5 & 22 & 24 & 14.00 \\\\\n",
"\t 10138 & 10000255 & 10000820 & 10000516 & 41 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10001416 & 10000820 & 10000516 & 35 & 5 & 21 & 25 & 3.00 \\\\\n",
"\t 10138 & 10000961 & 10000820 & 10000516 & 38 & 1 & 0 & 5 & 0.00 \\\\\n",
"\t 10138 & 10000820 & 0 & 0 & 70 & 5 & 20 & 14 & 39.50 \\\\\n",
"\t 10138 & 10000516 & 0 & 0 & 59 & 1 & 0 & 2 & 0.00 \\\\\n",
"\t 10138 & 10000759 & 10000820 & 10000516 & 34 & 1 & 0 & 1 & 0.00 \\\\\n",
"\t 10086 & 10000663 & 10000035 & 10000537 & 35 & 5 & 18 & 48 & 15.00 \\\\\n",
"\t 10086 & 10000005 & 10000035 & 10000537 & 30 & 5 & 16 & 25 & 0.00 \\\\\n",
"\t 10086 & 10000337 & 10000035 & 10000537 & 34 & 3 & 0 & 10 & 2.30 \\\\\n",
"\t 10086 & 10000035 & 10000314 & 10000483 & 58 & 5 & 21 & 24 & 0.60 \\\\\n",
"\t 10086 & 10000537 & 0 & 0 & 57 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10086 & 10000153 & 10000314 & 10000483 & 57 & 5 & 25 & 24 & 128.00 \\\\\n",
"\t 10086 & 10000314 & 0 & 0 & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\t 10086 & 10000483 & 0 & 0 & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| familyID | individualID | IDFather | IDMother | age | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
"|---|---|---|---|---|---|---|---|---|\n",
"| 10084 | 10000089 | 10000526 | 10000031 | 30 | 5 | 16 | 24 | 17.000 |\n",
"| 10084 | 10000758 | 10000526 | 10000031 | 31 | 5 | 30 | 12 | 16.000 |\n",
"| 10084 | 10001094 | 0 | 0 | 0 | 0 | 0 | -9 | -9.000 |\n",
"| 10084 | 10000133 | 10001094 | 10000758 | 18 | 3 | 0 | 18 | 0.450 |\n",
"| 10084 | 10001039 | 10000526 | 10000031 | 28 | 5 | 16 | 40 | 0.000 |\n",
"| 10084 | 10000194 | 10000526 | 10000031 | 24 | 3 | 0 | 20 | 8.000 |\n",
"| 10084 | 10000526 | 0 | 0 | 60 | 5 | 38 | 24 | 42.000 |\n",
"| 10084 | 10000031 | 0 | 0 | 60 | 3 | 0 | 7 | 58.500 |\n",
"| 10130 | 10001565 | 10001436 | 10001364 | 38 | 5 | 18 | 75 | 30.000 |\n",
"| 10130 | 10000919 | 10001436 | 10001364 | 40 | 5 | 33 | 48 | 0.000 |\n",
"| 10130 | 10000299 | 10001436 | 10001364 | 32 | 5 | 17 | 36 | 32.000 |\n",
"| 10130 | 10000489 | 10001436 | 10001364 | 27 | 3 | 0 | 12 | 0.000 |\n",
"| 10130 | 10001436 | 0 | 0 | 62 | 3 | 0 | 10 | 42.000 |\n",
"| 10130 | 10001364 | 0 | 0 | 61 | 1 | 0 | 5 | 0.125 |\n",
"| 10038 | 10000572 | 10001250 | 10001511 | 28 | 5 | 15 | 48 | 12.000 |\n",
"| 10038 | 10000272 | 10001250 | 10001511 | 26 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001295 | 10001250 | 10001511 | 25 | 1 | 0 | 3 | 0.000 |\n",
"| 10038 | 10000598 | 10001250 | 10001511 | 22 | 5 | 15 | 71 | 12.000 |\n",
"| 10038 | 10001250 | 0 | 0 | 68 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001511 | 0 | 0 | 52 | 3 | 0 | 14 | 31.000 |\n",
"| 10006 | 10000264 | 10000130 | 10000650 | 34 | 5 | 16 | 26 | 0.000 |\n",
"| 10006 | 10000025 | 10000130 | 10000650 | 35 | 5 | 18 | 36 | 13.000 |\n",
"| 10006 | 10000707 | 10000130 | 10000650 | 26 | 5 | 20 | 15 | 6.000 |\n",
"| 10006 | 10001405 | 10000130 | 10000650 | 28 | 5 | 23 | 10 | 0.000 |\n",
"| 10006 | 10000130 | 0 | 0 | 58 | 5 | 30 | 24 | -9.000 |\n",
"| 10006 | 10000650 | 0 | 0 | 59 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000398 | 0 | 0 | 58 | 5 | 24 | 42 | 41.000 |\n",
"| 10027 | 10000382 | 0 | 0 | 65 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000861 | 10000398 | 10000382 | 38 | 3 | 0 | 5 | 14.000 |\n",
"| 10027 | 10000915 | 0 | 0 | 44 | 5 | 0 | 20 | 23.000 |\n",
"| ... | ... | ... | ... | ... | ... | ... | ... | ... |\n",
"| 10026 | 10001144 | 0 | 0 | 49 | 3 | 0 | 24 | 51.00 |\n",
"| 10026 | 10000769 | 0 | 0 | 53 | 1 | 0 | 6 | 35.00 |\n",
"| 10005 | 10001357 | 10000016 | 10000066 | 40 | 5 | 39 | 13 | 0.00 |\n",
"| 10005 | 10000425 | 0 | 0 | 41 | 3 | 0 | 6 | 0.00 |\n",
"| 10005 | 10001547 | 10000425 | 10001357 | 23 | 5 | 20 | 24 | 4.50 |\n",
"| 10005 | 10000350 | 10000425 | 10001357 | 21 | 5 | 19 | 36 | 6.00 |\n",
"| 10005 | 10000747 | 10000425 | 10001357 | 18 | 1 | 0 | 8 | 0.15 |\n",
"| 10005 | 10000267 | 10000016 | 10000066 | 29 | 1 | 0 | 6 | 0.00 |\n",
"| 10005 | 10000049 | 10000016 | 10000066 | 37 | 5 | 25 | 30 | 10.00 |\n",
"| 10005 | 10000393 | 10000016 | 10000066 | 39 | 3 | 0 | 8 | 19.00 |\n",
"| 10005 | 10000016 | 0 | 0 | 62 | 5 | 23 | 52 | 0.00 |\n",
"| 10005 | 10000066 | 0 | 0 | 58 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10000376 | 10000820 | 10000516 | 29 | 5 | 18 | 32 | 10.00 |\n",
"| 10138 | 10000556 | 10000820 | 10000516 | 27 | 3 | 0 | 4 | 4.50 |\n",
"| 10138 | 10001313 | 10000820 | 10000516 | 40 | 5 | 25 | 32 | 13.00 |\n",
"| 10138 | 10000322 | 10000820 | 10000516 | 39 | 5 | 22 | 24 | 14.00 |\n",
"| 10138 | 10000255 | 10000820 | 10000516 | 41 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10001416 | 10000820 | 10000516 | 35 | 5 | 21 | 25 | 3.00 |\n",
"| 10138 | 10000961 | 10000820 | 10000516 | 38 | 1 | 0 | 5 | 0.00 |\n",
"| 10138 | 10000820 | 0 | 0 | 70 | 5 | 20 | 14 | 39.50 |\n",
"| 10138 | 10000516 | 0 | 0 | 59 | 1 | 0 | 2 | 0.00 |\n",
"| 10138 | 10000759 | 10000820 | 10000516 | 34 | 1 | 0 | 1 | 0.00 |\n",
"| 10086 | 10000663 | 10000035 | 10000537 | 35 | 5 | 18 | 48 | 15.00 |\n",
"| 10086 | 10000005 | 10000035 | 10000537 | 30 | 5 | 16 | 25 | 0.00 |\n",
"| 10086 | 10000337 | 10000035 | 10000537 | 34 | 3 | 0 | 10 | 2.30 |\n",
"| 10086 | 10000035 | 10000314 | 10000483 | 58 | 5 | 21 | 24 | 0.60 |\n",
"| 10086 | 10000537 | 0 | 0 | 57 | 1 | 0 | 6 | 0.00 |\n",
"| 10086 | 10000153 | 10000314 | 10000483 | 57 | 5 | 25 | 24 | 128.00 |\n",
"| 10086 | 10000314 | 0 | 0 | 0 | 0 | 0 | -9 | -9.00 |\n",
"| 10086 | 10000483 | 0 | 0 | 0 | 0 | 0 | -9 | -9.00 |\n",
"\n"
],
"text/plain": [
" familyID individualID IDFather IDMother age alcoholDependence AgeOnset\n",
"1 10084 10000089 10000526 10000031 30 5 16 \n",
"2 10084 10000758 10000526 10000031 31 5 30 \n",
"3 10084 10001094 0 0 0 0 0 \n",
"4 10084 10000133 10001094 10000758 18 3 0 \n",
"5 10084 10001039 10000526 10000031 28 5 16 \n",
"6 10084 10000194 10000526 10000031 24 3 0 \n",
"7 10084 10000526 0 0 60 5 38 \n",
"8 10084 10000031 0 0 60 3 0 \n",
"9 10130 10001565 10001436 10001364 38 5 18 \n",
"10 10130 10000919 10001436 10001364 40 5 33 \n",
"11 10130 10000299 10001436 10001364 32 5 17 \n",
"12 10130 10000489 10001436 10001364 27 3 0 \n",
"13 10130 10001436 0 0 62 3 0 \n",
"14 10130 10001364 0 0 61 1 0 \n",
"15 10038 10000572 10001250 10001511 28 5 15 \n",
"16 10038 10000272 10001250 10001511 26 3 0 \n",
"17 10038 10001295 10001250 10001511 25 1 0 \n",
"18 10038 10000598 10001250 10001511 22 5 15 \n",
"19 10038 10001250 0 0 68 3 0 \n",
"20 10038 10001511 0 0 52 3 0 \n",
"21 10006 10000264 10000130 10000650 34 5 16 \n",
"22 10006 10000025 10000130 10000650 35 5 18 \n",
"23 10006 10000707 10000130 10000650 26 5 20 \n",
"24 10006 10001405 10000130 10000650 28 5 23 \n",
"25 10006 10000130 0 0 58 5 30 \n",
"26 10006 10000650 0 0 59 1 0 \n",
"27 10027 10000398 0 0 58 5 24 \n",
"28 10027 10000382 0 0 65 1 0 \n",
"29 10027 10000861 10000398 10000382 38 3 0 \n",
"30 10027 10000915 0 0 44 5 0 \n",
"... ... ... ... ... ... ... ... \n",
"1585 10026 10001144 0 0 49 3 0 \n",
"1586 10026 10000769 0 0 53 1 0 \n",
"1587 10005 10001357 10000016 10000066 40 5 39 \n",
"1588 10005 10000425 0 0 41 3 0 \n",
"1589 10005 10001547 10000425 10001357 23 5 20 \n",
"1590 10005 10000350 10000425 10001357 21 5 19 \n",
"1591 10005 10000747 10000425 10001357 18 1 0 \n",
"1592 10005 10000267 10000016 10000066 29 1 0 \n",
"1593 10005 10000049 10000016 10000066 37 5 25 \n",
"1594 10005 10000393 10000016 10000066 39 3 0 \n",
"1595 10005 10000016 0 0 62 5 23 \n",
"1596 10005 10000066 0 0 58 1 0 \n",
"1597 10138 10000376 10000820 10000516 29 5 18 \n",
"1598 10138 10000556 10000820 10000516 27 3 0 \n",
"1599 10138 10001313 10000820 10000516 40 5 25 \n",
"1600 10138 10000322 10000820 10000516 39 5 22 \n",
"1601 10138 10000255 10000820 10000516 41 1 0 \n",
"1602 10138 10001416 10000820 10000516 35 5 21 \n",
"1603 10138 10000961 10000820 10000516 38 1 0 \n",
"1604 10138 10000820 0 0 70 5 20 \n",
"1605 10138 10000516 0 0 59 1 0 \n",
"1606 10138 10000759 10000820 10000516 34 1 0 \n",
"1607 10086 10000663 10000035 10000537 35 5 18 \n",
"1608 10086 10000005 10000035 10000537 30 5 16 \n",
"1609 10086 10000337 10000035 10000537 34 3 0 \n",
"1610 10086 10000035 10000314 10000483 58 5 21 \n",
"1611 10086 10000537 0 0 57 1 0 \n",
"1612 10086 10000153 10000314 10000483 57 5 25 \n",
"1613 10086 10000314 0 0 0 0 0 \n",
"1614 10086 10000483 0 0 0 0 0 \n",
" MaxDinks packsDay\n",
"1 24 17.000 \n",
"2 12 16.000 \n",
"3 -9 -9.000 \n",
"4 18 0.450 \n",
"5 40 0.000 \n",
"6 20 8.000 \n",
"7 24 42.000 \n",
"8 7 58.500 \n",
"9 75 30.000 \n",
"10 48 0.000 \n",
"11 36 32.000 \n",
"12 12 0.000 \n",
"13 10 42.000 \n",
"14 5 0.125 \n",
"15 48 12.000 \n",
"16 10 0.000 \n",
"17 3 0.000 \n",
"18 71 12.000 \n",
"19 10 0.000 \n",
"20 14 31.000 \n",
"21 26 0.000 \n",
"22 36 13.000 \n",
"23 15 6.000 \n",
"24 10 0.000 \n",
"25 24 -9.000 \n",
"26 3 0.000 \n",
"27 42 41.000 \n",
"28 3 0.000 \n",
"29 5 14.000 \n",
"30 20 23.000 \n",
"... ... ... \n",
"1585 24 51.00 \n",
"1586 6 35.00 \n",
"1587 13 0.00 \n",
"1588 6 0.00 \n",
"1589 24 4.50 \n",
"1590 36 6.00 \n",
"1591 8 0.15 \n",
"1592 6 0.00 \n",
"1593 30 10.00 \n",
"1594 8 19.00 \n",
"1595 52 0.00 \n",
"1596 6 0.00 \n",
"1597 32 10.00 \n",
"1598 4 4.50 \n",
"1599 32 13.00 \n",
"1600 24 14.00 \n",
"1601 6 0.00 \n",
"1602 25 3.00 \n",
"1603 5 0.00 \n",
"1604 14 39.50 \n",
"1605 2 0.00 \n",
"1606 1 0.00 \n",
"1607 48 15.00 \n",
"1608 25 0.00 \n",
"1609 10 2.30 \n",
"1610 24 0.60 \n",
"1611 6 0.00 \n",
"1612 24 128.00 \n",
"1613 -9 -9.00 \n",
"1614 -9 -9.00 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw[,-c(5, 7)]"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
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},
"outputs": [
{
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"text/markdown": [
"1. 1\n",
"2. 1.47368421052632\n",
"3. 1.94736842105263\n",
"4. 2.42105263157895\n",
"5. 2.89473684210526\n",
"6. 3.36842105263158\n",
"7. 3.84210526315789\n",
"8. 4.31578947368421\n",
"9. 4.78947368421053\n",
"10. 5.26315789473684\n",
"11. 5.73684210526316\n",
"12. 6.21052631578947\n",
"13. 6.68421052631579\n",
"14. 7.15789473684211\n",
"15. 7.63157894736842\n",
"16. 8.10526315789474\n",
"17. 8.57894736842105\n",
"18. 9.05263157894737\n",
"19. 9.52631578947368\n",
"20. 10\n",
"\n",
"\n"
],
"text/plain": [
" [1] 1.000000 1.473684 1.947368 2.421053 2.894737 3.368421 3.842105\n",
" [8] 4.315789 4.789474 5.263158 5.736842 6.210526 6.684211 7.157895\n",
"[15] 7.631579 8.105263 8.578947 9.052632 9.526316 10.000000"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"seq(1, 10, length=20)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"scrolled": true
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"outputs": [
{
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"source": [
"seq(1, 10, by=2)"
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},
{
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"execution_count": 29,
"metadata": {
"scrolled": true
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"outputs": [
{
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"\n",
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"text/plain": [
" [1] 2 2 2 2 2 2 2 2 2 2"
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},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rep(2, 10)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"scrolled": true
},
"outputs": [
{
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},
"metadata": {},
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],
"source": [
"rep(c(1,2), 5) #warto użyć opcji each"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
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"\\item 2\n",
"\\item 2\n",
"\\item 2\n",
"\\end{enumerate*}\n"
],
"text/markdown": [
"1. 1\n",
"2. 1\n",
"3. 1\n",
"4. 1\n",
"5. 1\n",
"6. 2\n",
"7. 2\n",
"8. 2\n",
"9. 2\n",
"10. 2\n",
"\n",
"\n"
],
"text/plain": [
" [1] 1 1 1 1 1 2 2 2 2 2"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rep(c(1,2), each = 5) "
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"familyID | individualID | IDFather | sex | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |
\n",
"\n",
"\t10084 | 10000089 | 10000526 | F | 6 | 5 | 16 | 24 | 17.000 |
\n",
"\t10084 | 10000758 | 10000526 | F | 6 | 5 | 30 | 12 | 16.000 |
\n",
"\t10084 | 10001094 | 0 | M | 0 | 0 | 0 | -9 | -9.000 |
\n",
"\t10084 | 10000133 | 10001094 | M | 6 | 3 | 0 | 18 | 0.450 |
\n",
"\t10084 | 10001039 | 10000526 | M | 6 | 5 | 16 | 40 | 0.000 |
\n",
"\t10084 | 10000194 | 10000526 | F | 6 | 3 | 0 | 20 | 8.000 |
\n",
"\t10084 | 10000526 | 0 | M | 6 | 5 | 38 | 24 | 42.000 |
\n",
"\t10084 | 10000031 | 0 | F | 6 | 3 | 0 | 7 | 58.500 |
\n",
"\t10130 | 10001565 | 10001436 | F | 6 | 5 | 18 | 75 | 30.000 |
\n",
"\t10130 | 10000919 | 10001436 | M | 6 | 5 | 33 | 48 | 0.000 |
\n",
"\t10130 | 10000299 | 10001436 | F | 6 | 5 | 17 | 36 | 32.000 |
\n",
"\t10130 | 10000489 | 10001436 | M | 6 | 3 | 0 | 12 | 0.000 |
\n",
"\t10130 | 10001436 | 0 | M | 6 | 3 | 0 | 10 | 42.000 |
\n",
"\t10130 | 10001364 | 0 | F | 6 | 1 | 0 | 5 | 0.125 |
\n",
"\t10038 | 10000572 | 10001250 | F | 6 | 5 | 15 | 48 | 12.000 |
\n",
"\t10038 | 10000272 | 10001250 | M | 6 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001295 | 10001250 | F | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10038 | 10000598 | 10001250 | M | 6 | 5 | 15 | 71 | 12.000 |
\n",
"\t10038 | 10001250 | 0 | M | 6 | 3 | 0 | 10 | 0.000 |
\n",
"\t10038 | 10001511 | 0 | F | 6 | 3 | 0 | 14 | 31.000 |
\n",
"\t10006 | 10000264 | 10000130 | M | 6 | 5 | 16 | 26 | 0.000 |
\n",
"\t10006 | 10000025 | 10000130 | M | 6 | 5 | 18 | 36 | 13.000 |
\n",
"\t10006 | 10000707 | 10000130 | M | 6 | 5 | 20 | 15 | 6.000 |
\n",
"\t10006 | 10001405 | 10000130 | F | 6 | 5 | 23 | 10 | 0.000 |
\n",
"\t10006 | 10000130 | 0 | M | 6 | 5 | 30 | 24 | -9.000 |
\n",
"\t10006 | 10000650 | 0 | F | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000398 | 0 | M | 6 | 5 | 24 | 42 | 41.000 |
\n",
"\t10027 | 10000382 | 0 | F | 6 | 1 | 0 | 3 | 0.000 |
\n",
"\t10027 | 10000861 | 10000398 | F | 6 | 3 | 0 | 5 | 14.000 |
\n",
"\t10027 | 10000915 | 0 | M | 1 | 5 | 0 | 20 | 23.000 |
\n",
"\t... | ... | ... | ... | ... | ... | ... | ... | ... |
\n",
"\t10026 | 10001144 | 0 | M | 6 | 3 | 0 | 24 | 51.00 |
\n",
"\t10026 | 10000769 | 0 | F | 6 | 1 | 0 | 6 | 35.00 |
\n",
"\t10005 | 10001357 | 10000016 | F | 6 | 5 | 39 | 13 | 0.00 |
\n",
"\t10005 | 10000425 | 0 | M | 6 | 3 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10001547 | 10000425 | M | 6 | 5 | 20 | 24 | 4.50 |
\n",
"\t10005 | 10000350 | 10000425 | M | 6 | 5 | 19 | 36 | 6.00 |
\n",
"\t10005 | 10000747 | 10000425 | F | 6 | 1 | 0 | 8 | 0.15 |
\n",
"\t10005 | 10000267 | 10000016 | F | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10005 | 10000049 | 10000016 | F | 6 | 5 | 25 | 30 | 10.00 |
\n",
"\t10005 | 10000393 | 10000016 | F | 6 | 3 | 0 | 8 | 19.00 |
\n",
"\t10005 | 10000016 | 0 | M | 6 | 5 | 23 | 52 | 0.00 |
\n",
"\t10005 | 10000066 | 0 | F | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10000376 | 10000820 | F | 7 | 5 | 18 | 32 | 10.00 |
\n",
"\t10138 | 10000556 | 10000820 | F | 7 | 3 | 0 | 4 | 4.50 |
\n",
"\t10138 | 10001313 | 10000820 | M | 7 | 5 | 25 | 32 | 13.00 |
\n",
"\t10138 | 10000322 | 10000820 | M | 7 | 5 | 22 | 24 | 14.00 |
\n",
"\t10138 | 10000255 | 10000820 | F | 7 | 1 | 0 | 6 | 0.00 |
\n",
"\t10138 | 10001416 | 10000820 | F | 7 | 5 | 21 | 25 | 3.00 |
\n",
"\t10138 | 10000961 | 10000820 | F | 7 | 1 | 0 | 5 | 0.00 |
\n",
"\t10138 | 10000820 | 0 | M | 7 | 5 | 20 | 14 | 39.50 |
\n",
"\t10138 | 10000516 | 0 | F | 6 | 1 | 0 | 2 | 0.00 |
\n",
"\t10138 | 10000759 | 10000820 | F | 7 | 1 | 0 | 1 | 0.00 |
\n",
"\t10086 | 10000663 | 10000035 | M | 6 | 5 | 18 | 48 | 15.00 |
\n",
"\t10086 | 10000005 | 10000035 | M | 6 | 5 | 16 | 25 | 0.00 |
\n",
"\t10086 | 10000337 | 10000035 | F | 6 | 3 | 0 | 10 | 2.30 |
\n",
"\t10086 | 10000035 | 10000314 | M | 6 | 5 | 21 | 24 | 0.60 |
\n",
"\t10086 | 10000537 | 0 | F | 6 | 1 | 0 | 6 | 0.00 |
\n",
"\t10086 | 10000153 | 10000314 | M | 6 | 5 | 25 | 24 | 128.00 |
\n",
"\t10086 | 10000314 | 0 | M | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\t10086 | 10000483 | 0 | F | 0 | 0 | 0 | -9 | -9.00 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lllllllll}\n",
" familyID & individualID & IDFather & sex & ethnicity & alcoholDependence & AgeOnset & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\t 10084 & 10000089 & 10000526 & F & 6 & 5 & 16 & 24 & 17.000 \\\\\n",
"\t 10084 & 10000758 & 10000526 & F & 6 & 5 & 30 & 12 & 16.000 \\\\\n",
"\t 10084 & 10001094 & 0 & M & 0 & 0 & 0 & -9 & -9.000 \\\\\n",
"\t 10084 & 10000133 & 10001094 & M & 6 & 3 & 0 & 18 & 0.450 \\\\\n",
"\t 10084 & 10001039 & 10000526 & M & 6 & 5 & 16 & 40 & 0.000 \\\\\n",
"\t 10084 & 10000194 & 10000526 & F & 6 & 3 & 0 & 20 & 8.000 \\\\\n",
"\t 10084 & 10000526 & 0 & M & 6 & 5 & 38 & 24 & 42.000 \\\\\n",
"\t 10084 & 10000031 & 0 & F & 6 & 3 & 0 & 7 & 58.500 \\\\\n",
"\t 10130 & 10001565 & 10001436 & F & 6 & 5 & 18 & 75 & 30.000 \\\\\n",
"\t 10130 & 10000919 & 10001436 & M & 6 & 5 & 33 & 48 & 0.000 \\\\\n",
"\t 10130 & 10000299 & 10001436 & F & 6 & 5 & 17 & 36 & 32.000 \\\\\n",
"\t 10130 & 10000489 & 10001436 & M & 6 & 3 & 0 & 12 & 0.000 \\\\\n",
"\t 10130 & 10001436 & 0 & M & 6 & 3 & 0 & 10 & 42.000 \\\\\n",
"\t 10130 & 10001364 & 0 & F & 6 & 1 & 0 & 5 & 0.125 \\\\\n",
"\t 10038 & 10000572 & 10001250 & F & 6 & 5 & 15 & 48 & 12.000 \\\\\n",
"\t 10038 & 10000272 & 10001250 & M & 6 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001295 & 10001250 & F & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10038 & 10000598 & 10001250 & M & 6 & 5 & 15 & 71 & 12.000 \\\\\n",
"\t 10038 & 10001250 & 0 & M & 6 & 3 & 0 & 10 & 0.000 \\\\\n",
"\t 10038 & 10001511 & 0 & F & 6 & 3 & 0 & 14 & 31.000 \\\\\n",
"\t 10006 & 10000264 & 10000130 & M & 6 & 5 & 16 & 26 & 0.000 \\\\\n",
"\t 10006 & 10000025 & 10000130 & M & 6 & 5 & 18 & 36 & 13.000 \\\\\n",
"\t 10006 & 10000707 & 10000130 & M & 6 & 5 & 20 & 15 & 6.000 \\\\\n",
"\t 10006 & 10001405 & 10000130 & F & 6 & 5 & 23 & 10 & 0.000 \\\\\n",
"\t 10006 & 10000130 & 0 & M & 6 & 5 & 30 & 24 & -9.000 \\\\\n",
"\t 10006 & 10000650 & 0 & F & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000398 & 0 & M & 6 & 5 & 24 & 42 & 41.000 \\\\\n",
"\t 10027 & 10000382 & 0 & F & 6 & 1 & 0 & 3 & 0.000 \\\\\n",
"\t 10027 & 10000861 & 10000398 & F & 6 & 3 & 0 & 5 & 14.000 \\\\\n",
"\t 10027 & 10000915 & 0 & M & 1 & 5 & 0 & 20 & 23.000 \\\\\n",
"\t ... & ... & ... & ... & ... & ... & ... & ... & ...\\\\\n",
"\t 10026 & 10001144 & 0 & M & 6 & 3 & 0 & 24 & 51.00 \\\\\n",
"\t 10026 & 10000769 & 0 & F & 6 & 1 & 0 & 6 & 35.00 \\\\\n",
"\t 10005 & 10001357 & 10000016 & F & 6 & 5 & 39 & 13 & 0.00 \\\\\n",
"\t 10005 & 10000425 & 0 & M & 6 & 3 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10001547 & 10000425 & M & 6 & 5 & 20 & 24 & 4.50 \\\\\n",
"\t 10005 & 10000350 & 10000425 & M & 6 & 5 & 19 & 36 & 6.00 \\\\\n",
"\t 10005 & 10000747 & 10000425 & F & 6 & 1 & 0 & 8 & 0.15 \\\\\n",
"\t 10005 & 10000267 & 10000016 & F & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10005 & 10000049 & 10000016 & F & 6 & 5 & 25 & 30 & 10.00 \\\\\n",
"\t 10005 & 10000393 & 10000016 & F & 6 & 3 & 0 & 8 & 19.00 \\\\\n",
"\t 10005 & 10000016 & 0 & M & 6 & 5 & 23 & 52 & 0.00 \\\\\n",
"\t 10005 & 10000066 & 0 & F & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10000376 & 10000820 & F & 7 & 5 & 18 & 32 & 10.00 \\\\\n",
"\t 10138 & 10000556 & 10000820 & F & 7 & 3 & 0 & 4 & 4.50 \\\\\n",
"\t 10138 & 10001313 & 10000820 & M & 7 & 5 & 25 & 32 & 13.00 \\\\\n",
"\t 10138 & 10000322 & 10000820 & M & 7 & 5 & 22 & 24 & 14.00 \\\\\n",
"\t 10138 & 10000255 & 10000820 & F & 7 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10138 & 10001416 & 10000820 & F & 7 & 5 & 21 & 25 & 3.00 \\\\\n",
"\t 10138 & 10000961 & 10000820 & F & 7 & 1 & 0 & 5 & 0.00 \\\\\n",
"\t 10138 & 10000820 & 0 & M & 7 & 5 & 20 & 14 & 39.50 \\\\\n",
"\t 10138 & 10000516 & 0 & F & 6 & 1 & 0 & 2 & 0.00 \\\\\n",
"\t 10138 & 10000759 & 10000820 & F & 7 & 1 & 0 & 1 & 0.00 \\\\\n",
"\t 10086 & 10000663 & 10000035 & M & 6 & 5 & 18 & 48 & 15.00 \\\\\n",
"\t 10086 & 10000005 & 10000035 & M & 6 & 5 & 16 & 25 & 0.00 \\\\\n",
"\t 10086 & 10000337 & 10000035 & F & 6 & 3 & 0 & 10 & 2.30 \\\\\n",
"\t 10086 & 10000035 & 10000314 & M & 6 & 5 & 21 & 24 & 0.60 \\\\\n",
"\t 10086 & 10000537 & 0 & F & 6 & 1 & 0 & 6 & 0.00 \\\\\n",
"\t 10086 & 10000153 & 10000314 & M & 6 & 5 & 25 & 24 & 128.00 \\\\\n",
"\t 10086 & 10000314 & 0 & M & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\t 10086 & 10000483 & 0 & F & 0 & 0 & 0 & -9 & -9.00 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| familyID | individualID | IDFather | sex | ethnicity | alcoholDependence | AgeOnset | MaxDinks | packsDay |\n",
"|---|---|---|---|---|---|---|---|---|\n",
"| 10084 | 10000089 | 10000526 | F | 6 | 5 | 16 | 24 | 17.000 |\n",
"| 10084 | 10000758 | 10000526 | F | 6 | 5 | 30 | 12 | 16.000 |\n",
"| 10084 | 10001094 | 0 | M | 0 | 0 | 0 | -9 | -9.000 |\n",
"| 10084 | 10000133 | 10001094 | M | 6 | 3 | 0 | 18 | 0.450 |\n",
"| 10084 | 10001039 | 10000526 | M | 6 | 5 | 16 | 40 | 0.000 |\n",
"| 10084 | 10000194 | 10000526 | F | 6 | 3 | 0 | 20 | 8.000 |\n",
"| 10084 | 10000526 | 0 | M | 6 | 5 | 38 | 24 | 42.000 |\n",
"| 10084 | 10000031 | 0 | F | 6 | 3 | 0 | 7 | 58.500 |\n",
"| 10130 | 10001565 | 10001436 | F | 6 | 5 | 18 | 75 | 30.000 |\n",
"| 10130 | 10000919 | 10001436 | M | 6 | 5 | 33 | 48 | 0.000 |\n",
"| 10130 | 10000299 | 10001436 | F | 6 | 5 | 17 | 36 | 32.000 |\n",
"| 10130 | 10000489 | 10001436 | M | 6 | 3 | 0 | 12 | 0.000 |\n",
"| 10130 | 10001436 | 0 | M | 6 | 3 | 0 | 10 | 42.000 |\n",
"| 10130 | 10001364 | 0 | F | 6 | 1 | 0 | 5 | 0.125 |\n",
"| 10038 | 10000572 | 10001250 | F | 6 | 5 | 15 | 48 | 12.000 |\n",
"| 10038 | 10000272 | 10001250 | M | 6 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001295 | 10001250 | F | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10038 | 10000598 | 10001250 | M | 6 | 5 | 15 | 71 | 12.000 |\n",
"| 10038 | 10001250 | 0 | M | 6 | 3 | 0 | 10 | 0.000 |\n",
"| 10038 | 10001511 | 0 | F | 6 | 3 | 0 | 14 | 31.000 |\n",
"| 10006 | 10000264 | 10000130 | M | 6 | 5 | 16 | 26 | 0.000 |\n",
"| 10006 | 10000025 | 10000130 | M | 6 | 5 | 18 | 36 | 13.000 |\n",
"| 10006 | 10000707 | 10000130 | M | 6 | 5 | 20 | 15 | 6.000 |\n",
"| 10006 | 10001405 | 10000130 | F | 6 | 5 | 23 | 10 | 0.000 |\n",
"| 10006 | 10000130 | 0 | M | 6 | 5 | 30 | 24 | -9.000 |\n",
"| 10006 | 10000650 | 0 | F | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000398 | 0 | M | 6 | 5 | 24 | 42 | 41.000 |\n",
"| 10027 | 10000382 | 0 | F | 6 | 1 | 0 | 3 | 0.000 |\n",
"| 10027 | 10000861 | 10000398 | F | 6 | 3 | 0 | 5 | 14.000 |\n",
"| 10027 | 10000915 | 0 | M | 1 | 5 | 0 | 20 | 23.000 |\n",
"| ... | ... | ... | ... | ... | ... | ... | ... | ... |\n",
"| 10026 | 10001144 | 0 | M | 6 | 3 | 0 | 24 | 51.00 |\n",
"| 10026 | 10000769 | 0 | F | 6 | 1 | 0 | 6 | 35.00 |\n",
"| 10005 | 10001357 | 10000016 | F | 6 | 5 | 39 | 13 | 0.00 |\n",
"| 10005 | 10000425 | 0 | M | 6 | 3 | 0 | 6 | 0.00 |\n",
"| 10005 | 10001547 | 10000425 | M | 6 | 5 | 20 | 24 | 4.50 |\n",
"| 10005 | 10000350 | 10000425 | M | 6 | 5 | 19 | 36 | 6.00 |\n",
"| 10005 | 10000747 | 10000425 | F | 6 | 1 | 0 | 8 | 0.15 |\n",
"| 10005 | 10000267 | 10000016 | F | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10005 | 10000049 | 10000016 | F | 6 | 5 | 25 | 30 | 10.00 |\n",
"| 10005 | 10000393 | 10000016 | F | 6 | 3 | 0 | 8 | 19.00 |\n",
"| 10005 | 10000016 | 0 | M | 6 | 5 | 23 | 52 | 0.00 |\n",
"| 10005 | 10000066 | 0 | F | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10000376 | 10000820 | F | 7 | 5 | 18 | 32 | 10.00 |\n",
"| 10138 | 10000556 | 10000820 | F | 7 | 3 | 0 | 4 | 4.50 |\n",
"| 10138 | 10001313 | 10000820 | M | 7 | 5 | 25 | 32 | 13.00 |\n",
"| 10138 | 10000322 | 10000820 | M | 7 | 5 | 22 | 24 | 14.00 |\n",
"| 10138 | 10000255 | 10000820 | F | 7 | 1 | 0 | 6 | 0.00 |\n",
"| 10138 | 10001416 | 10000820 | F | 7 | 5 | 21 | 25 | 3.00 |\n",
"| 10138 | 10000961 | 10000820 | F | 7 | 1 | 0 | 5 | 0.00 |\n",
"| 10138 | 10000820 | 0 | M | 7 | 5 | 20 | 14 | 39.50 |\n",
"| 10138 | 10000516 | 0 | F | 6 | 1 | 0 | 2 | 0.00 |\n",
"| 10138 | 10000759 | 10000820 | F | 7 | 1 | 0 | 1 | 0.00 |\n",
"| 10086 | 10000663 | 10000035 | M | 6 | 5 | 18 | 48 | 15.00 |\n",
"| 10086 | 10000005 | 10000035 | M | 6 | 5 | 16 | 25 | 0.00 |\n",
"| 10086 | 10000337 | 10000035 | F | 6 | 3 | 0 | 10 | 2.30 |\n",
"| 10086 | 10000035 | 10000314 | M | 6 | 5 | 21 | 24 | 0.60 |\n",
"| 10086 | 10000537 | 0 | F | 6 | 1 | 0 | 6 | 0.00 |\n",
"| 10086 | 10000153 | 10000314 | M | 6 | 5 | 25 | 24 | 128.00 |\n",
"| 10086 | 10000314 | 0 | M | 0 | 0 | 0 | -9 | -9.00 |\n",
"| 10086 | 10000483 | 0 | F | 0 | 0 | 0 | -9 | -9.00 |\n",
"\n"
],
"text/plain": [
" familyID individualID IDFather sex ethnicity alcoholDependence AgeOnset\n",
"1 10084 10000089 10000526 F 6 5 16 \n",
"2 10084 10000758 10000526 F 6 5 30 \n",
"3 10084 10001094 0 M 0 0 0 \n",
"4 10084 10000133 10001094 M 6 3 0 \n",
"5 10084 10001039 10000526 M 6 5 16 \n",
"6 10084 10000194 10000526 F 6 3 0 \n",
"7 10084 10000526 0 M 6 5 38 \n",
"8 10084 10000031 0 F 6 3 0 \n",
"9 10130 10001565 10001436 F 6 5 18 \n",
"10 10130 10000919 10001436 M 6 5 33 \n",
"11 10130 10000299 10001436 F 6 5 17 \n",
"12 10130 10000489 10001436 M 6 3 0 \n",
"13 10130 10001436 0 M 6 3 0 \n",
"14 10130 10001364 0 F 6 1 0 \n",
"15 10038 10000572 10001250 F 6 5 15 \n",
"16 10038 10000272 10001250 M 6 3 0 \n",
"17 10038 10001295 10001250 F 6 1 0 \n",
"18 10038 10000598 10001250 M 6 5 15 \n",
"19 10038 10001250 0 M 6 3 0 \n",
"20 10038 10001511 0 F 6 3 0 \n",
"21 10006 10000264 10000130 M 6 5 16 \n",
"22 10006 10000025 10000130 M 6 5 18 \n",
"23 10006 10000707 10000130 M 6 5 20 \n",
"24 10006 10001405 10000130 F 6 5 23 \n",
"25 10006 10000130 0 M 6 5 30 \n",
"26 10006 10000650 0 F 6 1 0 \n",
"27 10027 10000398 0 M 6 5 24 \n",
"28 10027 10000382 0 F 6 1 0 \n",
"29 10027 10000861 10000398 F 6 3 0 \n",
"30 10027 10000915 0 M 1 5 0 \n",
"... ... ... ... ... ... ... ... \n",
"1585 10026 10001144 0 M 6 3 0 \n",
"1586 10026 10000769 0 F 6 1 0 \n",
"1587 10005 10001357 10000016 F 6 5 39 \n",
"1588 10005 10000425 0 M 6 3 0 \n",
"1589 10005 10001547 10000425 M 6 5 20 \n",
"1590 10005 10000350 10000425 M 6 5 19 \n",
"1591 10005 10000747 10000425 F 6 1 0 \n",
"1592 10005 10000267 10000016 F 6 1 0 \n",
"1593 10005 10000049 10000016 F 6 5 25 \n",
"1594 10005 10000393 10000016 F 6 3 0 \n",
"1595 10005 10000016 0 M 6 5 23 \n",
"1596 10005 10000066 0 F 6 1 0 \n",
"1597 10138 10000376 10000820 F 7 5 18 \n",
"1598 10138 10000556 10000820 F 7 3 0 \n",
"1599 10138 10001313 10000820 M 7 5 25 \n",
"1600 10138 10000322 10000820 M 7 5 22 \n",
"1601 10138 10000255 10000820 F 7 1 0 \n",
"1602 10138 10001416 10000820 F 7 5 21 \n",
"1603 10138 10000961 10000820 F 7 1 0 \n",
"1604 10138 10000820 0 M 7 5 20 \n",
"1605 10138 10000516 0 F 6 1 0 \n",
"1606 10138 10000759 10000820 F 7 1 0 \n",
"1607 10086 10000663 10000035 M 6 5 18 \n",
"1608 10086 10000005 10000035 M 6 5 16 \n",
"1609 10086 10000337 10000035 F 6 3 0 \n",
"1610 10086 10000035 10000314 M 6 5 21 \n",
"1611 10086 10000537 0 F 6 1 0 \n",
"1612 10086 10000153 10000314 M 6 5 25 \n",
"1613 10086 10000314 0 M 0 0 0 \n",
"1614 10086 10000483 0 F 0 0 0 \n",
" MaxDinks packsDay\n",
"1 24 17.000 \n",
"2 12 16.000 \n",
"3 -9 -9.000 \n",
"4 18 0.450 \n",
"5 40 0.000 \n",
"6 20 8.000 \n",
"7 24 42.000 \n",
"8 7 58.500 \n",
"9 75 30.000 \n",
"10 48 0.000 \n",
"11 36 32.000 \n",
"12 12 0.000 \n",
"13 10 42.000 \n",
"14 5 0.125 \n",
"15 48 12.000 \n",
"16 10 0.000 \n",
"17 3 0.000 \n",
"18 71 12.000 \n",
"19 10 0.000 \n",
"20 14 31.000 \n",
"21 26 0.000 \n",
"22 36 13.000 \n",
"23 15 6.000 \n",
"24 10 0.000 \n",
"25 24 -9.000 \n",
"26 3 0.000 \n",
"27 42 41.000 \n",
"28 3 0.000 \n",
"29 5 14.000 \n",
"30 20 23.000 \n",
"... ... ... \n",
"1585 24 51.00 \n",
"1586 6 35.00 \n",
"1587 13 0.00 \n",
"1588 6 0.00 \n",
"1589 24 4.50 \n",
"1590 36 6.00 \n",
"1591 8 0.15 \n",
"1592 6 0.00 \n",
"1593 30 10.00 \n",
"1594 8 19.00 \n",
"1595 52 0.00 \n",
"1596 6 0.00 \n",
"1597 32 10.00 \n",
"1598 4 4.50 \n",
"1599 32 13.00 \n",
"1600 24 14.00 \n",
"1601 6 0.00 \n",
"1602 25 3.00 \n",
"1603 5 0.00 \n",
"1604 14 39.50 \n",
"1605 2 0.00 \n",
"1606 1 0.00 \n",
"1607 48 15.00 \n",
"1608 25 0.00 \n",
"1609 10 2.30 \n",
"1610 24 0.60 \n",
"1611 6 0.00 \n",
"1612 24 128.00 \n",
"1613 -9 -9.00 \n",
"1614 -9 -9.00 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw[, c(-4, -6)] #wyciąganie zbioru danych bezkolumny 4 i 6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Zastępowanie 0 i -9 wartościami NA"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
" familyID individualID IDFather IDMother sex \n",
" Min. :10001 Min. :1e+07 Min. : 0 Min. : 0 F:788 \n",
" 1st Qu.:10033 1st Qu.:1e+07 1st Qu.: 0 1st Qu.: 0 M:826 \n",
" Median :10068 Median :1e+07 Median :10000446 Median :10000403 \n",
" Mean :10070 Mean :1e+07 Mean : 6871685 Mean : 6871658 \n",
" 3rd Qu.:10106 3rd Qu.:1e+07 3rd Qu.:10001052 3rd Qu.:10001005 \n",
" Max. :10143 Max. :1e+07 Max. :10001609 Max. :10001607 \n",
" age ethnicity alcoholDependence AgeOnset \n",
" Min. : 0.00 Min. :0.000 Min. :0.000 Min. : 0.000 \n",
" 1st Qu.:23.00 1st Qu.:4.000 1st Qu.:1.000 1st Qu.: 0.000 \n",
" Median :34.00 Median :6.000 Median :3.000 Median : 0.000 \n",
" Mean :34.48 Mean :4.922 Mean :3.006 Mean : 8.769 \n",
" 3rd Qu.:47.00 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:18.000 \n",
" Max. :91.00 Max. :8.000 Max. :5.000 Max. :66.000 \n",
" MaxDinks packsDay \n",
" Min. :-9.00 Min. : -9.000 \n",
" 1st Qu.: 3.00 1st Qu.: 0.000 \n",
" Median :10.00 Median : 1.587 \n",
" Mean :13.71 Mean : 11.674 \n",
" 3rd Qu.:22.75 3rd Qu.: 18.000 \n",
" Max. :96.00 Max. :193.000 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(gaw)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
" Min. 1st Qu. Median Mean 3rd Qu. Max. NA's \n",
" 0.00 6.00 12.00 17.41 24.00 96.00 226 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw$MaxDinks[gaw$MaxDinks == -9] = NA\n",
"gaw$packsDay[gaw$packsDay == -9] = NA\n",
"summary(gaw$MaxDinks)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
" Min. 1st Qu. Median Mean 3rd Qu. Max. NA's \n",
" 0.00 6.00 12.00 17.41 24.00 96.00 226 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gaw2[MaxDinks == -9, \"MaxDinks\"] = NA\n",
"gaw2[packsDay == -9, \"packsDay\"] = NA\n",
"summary(gaw2$MaxDinks)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"gaw$IDFather[gaw$IDFather == 0] = NA\n",
"gaw$IDMother[gaw$IDMother == 0] = NA\n",
"gaw$age[gaw$age == 0] = NA\n",
"gaw$ethnicity[gaw$ethnicity == 0] = NA\n",
"gaw$alcoholDependence[gaw$alcoholDependence == 0] = NA\n",
"gaw$AgeOnset[gaw$AgeOnset == 0] = NA"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
" familyID individualID IDFather IDMother sex \n",
" Min. :10001 Min. :1e+07 Min. :1e+07 Min. :1e+07 F:788 \n",
" 1st Qu.:10033 1st Qu.:1e+07 1st Qu.:1e+07 1st Qu.:1e+07 M:826 \n",
" Median :10068 Median :1e+07 Median :1e+07 Median :1e+07 \n",
" Mean :10070 Mean :1e+07 Mean :1e+07 Mean :1e+07 \n",
" 3rd Qu.:10106 3rd Qu.:1e+07 3rd Qu.:1e+07 3rd Qu.:1e+07 \n",
" Max. :10143 Max. :1e+07 Max. :1e+07 Max. :1e+07 \n",
" NA's :505 NA's :505 \n",
" age ethnicity alcoholDependence AgeOnset \n",
" Min. :17.00 Min. :1.000 Min. :1.000 Min. :12.00 \n",
" 1st Qu.:29.00 1st Qu.:6.000 1st Qu.:3.000 1st Qu.:17.00 \n",
" Median :37.00 Median :6.000 Median :3.000 Median :20.00 \n",
" Mean :40.09 Mean :5.736 Mean :3.495 Mean :22.61 \n",
" 3rd Qu.:51.00 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:25.00 \n",
" Max. :91.00 Max. :8.000 Max. :5.000 Max. :66.00 \n",
" NA's :226 NA's :229 NA's :226 NA's :988 \n",
" MaxDinks packsDay \n",
" Min. : 0.00 Min. : 0.00 \n",
" 1st Qu.: 6.00 1st Qu.: 0.00 \n",
" Median :12.00 Median : 5.25 \n",
" Mean :17.41 Mean : 15.16 \n",
" 3rd Qu.:24.00 3rd Qu.: 21.00 \n",
" Max. :96.00 Max. :193.00 \n",
" NA's :226 NA's :233 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(gaw)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"1614"
],
"text/latex": [
"1614"
],
"text/markdown": [
"1614"
],
"text/plain": [
"[1] 1614"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"nrow(gaw)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Statystyki opisowe"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"0"
],
"text/latex": [
"0"
],
"text/markdown": [
"0"
],
"text/plain": [
"[1] 0"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"min(gaw$MaxDinks, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"96"
],
"text/latex": [
"96"
],
"text/markdown": [
"96"
],
"text/plain": [
"[1] 96"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"max(gaw$MaxDinks, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"17.4128242074928"
],
"text/latex": [
"17.4128242074928"
],
"text/markdown": [
"17.4128242074928"
],
"text/plain": [
"[1] 17.41282"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mean(gaw$MaxDinks, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"231.119690560142"
],
"text/latex": [
"231.119690560142"
],
"text/markdown": [
"231.119690560142"
],
"text/plain": [
"[1] 231.1197"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sd(gaw$age, na.rm = TRUE)^2"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"231.119690560142"
],
"text/latex": [
"231.119690560142"
],
"text/markdown": [
"231.119690560142"
],
"text/plain": [
"[1] 231.1197"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"var(gaw$age, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"37"
],
"text/latex": [
"37"
],
"text/markdown": [
"37"
],
"text/plain": [
"[1] 37"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"median(gaw$age, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"?median #help"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"12"
],
"text/latex": [
"12"
],
"text/markdown": [
"12"
],
"text/plain": [
"[1] 12"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"median(gaw[,10], na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
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7GAvEIKNyNCGvFxS+vj/a5ud67vkyq/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\ngAJCAhQQEqCAkAAFhAQo+Af2FB7Mxpf3FgAAAABJRU5ErkJggg==",
"text/plain": [
"Plot with title \"empiryczny\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"par(mfrow = c(1, 2))\n",
"hist(rnorm(1000, mean(gaw$age, na.rm = TRUE), sd(gaw$age, na.rm = TRUE)), main = \"teoretyczny\", xlab = \"wiek\", ylim = c(0, 300))\n",
"hist(gaw$age, main = \"empiryczny\", xlab = \"wiek\", ylim = c(0, 300))"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message:\n",
"\"unable to access index for repository https://cran.r-project.org/bin/windows/contrib/3.6:\n",
" nie można otworzyć adresu URL 'https://cran.r-project.org/bin/windows/contrib/3.6/PACKAGES'\"installing the source package 'moments'\n",
"\n"
]
}
],
"source": [
"install.packages(\"moments\")"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"37"
],
"text/latex": [
"37"
],
"text/markdown": [
"37"
],
"text/plain": [
"[1] 37"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"40.092939481268"
],
"text/latex": [
"40.092939481268"
],
"text/markdown": [
"40.092939481268"
],
"text/plain": [
"[1] 40.09294"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"median(gaw$age, na.rm = TRUE)\n",
"mean(gaw$age, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"0.629351440420409"
],
"text/latex": [
"0.629351440420409"
],
"text/markdown": [
"0.629351440420409"
],
"text/plain": [
"[1] 0.6293514"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"library(moments)\n",
"skewness(gaw$age, na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
" Min. 1st Qu. Median Mean 3rd Qu. Max. NA's \n",
" 17.00 29.00 37.00 40.09 51.00 91.00 226 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"-0.019693713900893"
],
"text/latex": [
"-0.019693713900893"
],
"text/markdown": [
"-0.019693713900893"
],
"text/plain": [
"[1] -0.01969371"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(gaw$age)\n",
"skewness(log(gaw$age), na.rm = TRUE)"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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fvBhtVYh0iAkOrGmLoV0kz7nYtf+Nq7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\nJECAkAABQgIECAkQICRAgJAAAUICBP4BjmoiXq4TcEAAAAAASUVORK5CYII=",
"text/plain": [
"Plot with title \"empiryczny\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hist(log(gaw$age), main = \"empiryczny\", xlab = \"wiek\")"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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dpft0Zn2Z80tt3XIzqc+u4JhHRsb1zl\nGGmTyGhkfa/dX3MxeXMipE2aHB6FnpXALEM6tguw++DHndgsNYQUi7EgSrJ/h2z71c68/wgG\nu0lALUK64c4G/I6QbggJFjhGGhESLHDGbsTbKPAjTnxPERJ+QkZzMrt2p0L05m9C0o+Q5oSO\nkWquI23LWBAlDaRONrBrty2EtCAU0uH9Z3lLTAKaENKC2MmG95/4aDEJqMQx0pxQSPn3n1y8\ndhJQiZDmuCCL9QwZLRES1iKiJ+xCqvftWyjK9vMaSsmDJF4fzQjpCauQDrdDpMtB9NNPeH0U\nGwuipCmbkK4dVe1nnpwrk/GZDZtBSM9YhFTfP4Prj4/j2g5CesYipOr+tthS+C2yvDyacYz0\nhEVIuRl/XNjF7E0uNUfTSUAjQnrCIqT7UjyX3Gu3GWT0lEhIyy+s8QrpZcZPaQg9I7qI7No1\n3WfbCeJFUmssiJLmZE42zB4L4DVSi5Cekzn9fTTrfrr5t5OAOoT0nM0F2T9jqnPTXZCVvYxE\nSIpxjPSU1S1Cf9lw9iaT7YiQFOvO1nHKbsnyptVD2d60ehDdr2sISTHOfD/H2yiwApeQXiEk\nrHC/yy70nGhDSPjeWBAlPSAkfI+QXiIkfI+QXiIkrMAx0iuEhBU4a/cKIWEFMnrFOqRj2S7W\n8vLim3/DC6USNzW8ZhtSMew1Z6Il8UqpxG12r1mGdDBF3S7XAz/WJX3c+P2GZUiZqZvhnymp\nOVpOAloQ0huWIfUnQxtC2gJCesMypHzYIp15q/kGcIz0mswx0jEzoj/XhVdKJc7avWZ71q4c\nLiyIfmIxIWnEtdh3RK4jmfJPaHaeTgIK8Gl273FnA75ibvt1vDjPEBK+MRZESS9YhGTmAs8V\nnCKkDwgJ3yCkD9i1w1c4RnqPkPAVztq9Zx3SX3v6e8cHRKaNjD4ReRtFeyVJaoYeJ4HwuDno\nE8uQqv7TirlFKG3crvqR9dsozt3v3LSaNEL6SOBtFPMHIni5dCGkj6x37cYtkuhBEi+XMhwj\nfWJ7smHfHSOdMu7+ThpvoPjEetfOyd0NvF66cOr7I0LCJ2yOvsCdDfiEA6QvEBI+4JTdNwgJ\nHxDSN2xDqjIXB6K8YooQ0jesryPxfqTkcYz0BeuzdqL32D2bBELjrN0XpG4RksVLpgoXkT6z\n3rWrxWblxSQQmBl+SF/o+dDN+v1IhexPRnoyCYQ1/tjY0POhm21IR042JG58ZSnpLcuQ9py1\nSx0hfcX6jX2ctUscIX2Fs3b4gGOkb1jv2nHWLnWctfuG9Rv7ipPUrLyaBILirUhfkXs/ktgs\nNYSkB3c1fImQ8A732X2Jt1HgDe78/hYh4Q1C+pZUSCc+jitFhPQt6zf2cYyUNI6RviT2xj7R\nn0fBy6aCiw+ISpX1LUJ/TWEul8KIXk7iZVOAjNYQuEVof90anY3oR63ywilASGsIhHRsb1zl\nGCk1Y0GU9BXLkMrrrt3F5M2JkFJDSKtYhnRsF3H3U/t2YrPUEJIGhLSK9U2r7Vc7Yyqh+Xky\nCYTBMdIa3NmAFwhpDULCC2S0hk1IddU9POUmE37DOS9dcLx/Yh2bkLJuKfefI8RP7EsM9wat\nYxHSwRTt+8yz7NzUhfkLPFcQxd2qK1mEVJj2syFPZt/9yp0NSSGklSxC6hdx1d9lxwXZtBDS\nStYh5WbyhRRevOA4RlrHIqS83bW79Lc01CYTnClCCo+zdutYhFS1Jxt2/RuRDtwilBIuIa1m\nEVKd3c57H4w5C84UIQXFHQ0/sLogO95jZ7jXLiXmtlvH6/A1kVuETCn8cau8gAGNBVHSGtxr\nhwVC+gUhYYGQfkFIWOIY6QeEhCXO2v2AkDBHRj8hJEyR0Y8ICVMcH/2IkDDBGbtfERImCOlX\nhIQJQvoVIWGKY6QfERJuzEzouYkLIWFARjYICQMyskFI6I0FUdJPCAk9QrJCSOgRkhVCwoBj\nJBuEhAEh2SAktDj1bYmQwMZIgNeQTvuye63K6sOnDvFq+kVI1jyGVOeTl+v9D6/g1fSKE3b2\nPIZUmeyv/zzWyzF7/4mSvJheEZI9jyFlk481Pr//0H1eTK8IyZ7HkGYv0fvXixfTL46RrLFF\nAiEJ8HuMdLx0jzhGUmR2BYkF/yufp7+LyQuW104mgZWoSIjf60hVdx0pK/dcR1KCkIRwZ8Om\njQVRki09IfFvYwCEJCVISB9fMV5RTwhJCiFtG/sBQrxekP36VeMl9YWQhHgM6ZQRkior/mXD\nJz537erSFN0VWXbtFKAhUX6Pkf6M+WsISQVCEuX5ZMOlMGVNSAqMBVGSDO9n7fYmOxJSeIQk\ny//p73P++YXjhXWOkGSFuI60IyQFOEYSpecWIc+T2DDzIPQcJYCQtoaMnCCkrSEiJwhpY9gc\nuUFIG0NIbhDSxhCSG4S0NXTkBCFtDSE5QUgbwolvdwhpM2jIJULaDEJyiZC2gt06pwhpKwjJ\nKULaCkJyipA2g45cIqTNICSXCGkT2K9zjZA2gIbcI6QNICT3CCl9Y0GU5BAhpY+QPCCk9BGS\nB4S0ARwjuUdIG0BI7hFSypaXj8jIGUJKFxF5REjpIiSPCClZ7Nf5REjJIiSfCClZhOQTIaWL\njjwipBQ9bowIyTFCSg8ZBUBI6aGgAAgpOWyLQiCk5BBSCISUHEIKgZDSQ0cBEFJ6CCkAQkoJ\nZ72DIaR0kFBAhJQOQgqIkJLBXl1IhJQMQgqJkJJBSCERUjroKCBCSgchBURICXhy+Ygl6Bkh\nRY+CNCCk6BGSBoQUO3bqVCCk2BGSCoQUO0JSgZCiR0caEFL0CEkDQooYl4/0IKRokZAmhBQt\nQtKEkGLFXp0qhBQrQlKFkGJFSKoQUrToSBNCitCT096EFBghRYeMNCKk6JCQRoQUGzZGKhFS\nbAhJJUKKDSGpREjRoSONCCk6hKQRIcWD096KEVIsSEg1QooFIalGSJFgr043QooEIelGSJEg\nJN0IKRZ0pBohxYKQVCMk/bh+FAFC0o6CokBI2hFSFAhJOXbq4kBIyhFSHAhJOUKKAyFpR0dR\nICTtCCkKhKQYl4/iQUhqUVBMCEktQooJIWk1FkRJUSAkrQgpKoSkFSFFhZDU4hgpJoSkEee9\no0NI+pBRhAhJHxqKECGpw1mGGBGSOoQUI0JSh5BiREj6cIwUIULSh5AiREiacN47WoSkBxFF\njJD0IKSIEZIa7NfFjJDUIKSYEZIahBQzQtKDjiJGSHoQUsQISYOHvToyig0hhUdCCSCk8Agp\nAYQUHHt1KSCk4AgpBYQUHCGlgJDCo6MEEFJ4hJQAQgqK60epIKSASCgdhBQQIaWDkMJhry4h\nhBQOISWEkMIhpIQQUkB0lA5C8u/xnDchRY+QfCOjJBGSbzSUJELyjK1RmgjJM0JKEyF5Rkhp\nIiTf6ChJhOQbISWJkLx4cc6bjJJBSB7QT/q8hnTal91KVFYnV5NQiZDS5zGkOp+sR4WTSejE\nLt0GeAypMtnfuXt0OWamcjEJnQhpAzyGlJnz7fHZZC4moRMhbYDHkGbrzvsVKbG1jI7SxxbJ\nA0JKn99jpOOle5T8MdLznTkySpjP09/FZE3KayeTUIF4NsjvdaSqu46UlfukryMR0gZxZ4M4\n9ue2SE9IyaxzhLRFPkOqd8YUx2Ek6Z7+JqQt8nmLUNatTmU/knRD4hhpi7ye/j5cazpk3W12\nhISkeL0g2/12yfJL5CG93Hl7I/Q8w60AtwjVRRF1SJSDRx5Dys14ETYvCAlp8RjSweyGRxdT\nxBsSO3N4wufp7+q2ch0/rGeaV0JCwhNeL8iey/HRZUdISImeOxs8T+J3dIRHKYW0WHvvX46P\n+t/vvy7+k2Xx10d80glpyOPxy/GXRUUvMmqMkchKZDEgHgmFNB/y/uX4yDz8+ex/pul/vYfU\nLAKbffX7Xw4pSiYkM//9/uX8CTNpqJn+Z4Y/M829oOYxontqv/7dkCRCIiQIICRCgoBkQuIY\nCSElFJLfs3Yif08kI66Q3q/Ai2fvX46PzKKl5yl9w/YviNTEFNJimwPoEVVIviYPrBVRSObd\nk0BQhAQIICRAQEQhcYwEvaIKibN20CqmkD5dRwKCiSskQClCAgQQEiCAkAABhAQIICRAACEB\nAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQoDQmIzA9ruXw4stzOoOO/\nPjMfavTe12tCinf0Uc983MtGwQTXinp5M/OhRk9IS1Evb2Y+1OgJaSnq5c3Mhxo9IS1FvbyZ\n+VCjJ6SlqJc3Mx9q9IS0FPXyZuZDjZ6QlqJe3sx8qNET0lLUy5uZDzV6QlqKenkz86FGT0hL\nUS9vZj7U6AkJiBEhAQIICRBASIAAQgIEEBIggJAAAYQECCAkQAAhAQIICRBASIAAQgIEEBIg\ngJAAAYQECFAfUr0zZnd2NvpDbrKqdjb66wQcLeEqi3TG+5G7XOyOV5nn1IeUdT8dwNViqbqx\nZ+5WyPMvP9ngC0U347mTcXdczXjH7WJ3u8q8oD2kyuzaX0o3Yz+bXd3+27tzM/rrBDI36+PJ\nZOd25CcXI2+5mvF+5E4Xu9tV5hXtIWWm/WfL1Yta9uN1ts4cTOFm3JU5Xn/9M3sXI28cznjH\n7WJ3u8q8oj2knsncjt7VUjCVo3GX5tK0/7K7+mfX2YzPJuJyCo5Xmcfp+Z3cbypzcDn62hSO\nxnx2tbYYx5tSZzM+4W6xN85XmUcRhPRnrv8+unTo9pMciTMkx+PuOFzszleZRxGEdCgzZ8cC\nrUvm8riUkF5wudhdrzJPRBDS1c7hhrrOHO5hENIrjhe701XmGa0hzX+4dC186DgdeyF/MWY6\nejfrYxZ9SA4W+4z0KvNJHCFJv6r3sV/y4iI66vnoXa2P/Vm7i8uLJU5DcrLY5zyf/9Ya0qi/\nKHBxdQ3/6PLMUcfN67nvDtSPLg+pXa6IThe741XmBe0hdZep69LRDu/FeUeO1kfndzY4Dcnt\nYne7yryiPaThxilHC35nzGIfUpyjcecuF0vH4UJxvNidrjKvqA+pvc05d/WPi4k2pLq7+9vJ\nqAcOF4rrxe5ylXlFf0hABAgJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQ\nEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQ\nEiCAkAABhAQIICRAACEBAgjJKTPxy8/AO/YjeTn2yRd1lRuTV/W68Xr+2d/pYjk6ZRlSbvqR\nvBz7/fHfOJlvfubjfbyEJITl6N64sq5faT8MMXn62lF1aZpL9VVJ9wEJSQjL0T0PIdWZOfaP\njsZ83rsjJHEsR/cmIVUm23ePD7nJhk3H9WH/M7ivCeSmnDw5/OTvfvgqM8WlfXAszfADze8V\nHMztJ5xXZj8+0/06/fZL2U1/Mt7+G+9zcyyMKY6OFkTKCMm9e0jleBDTPTBF+6fF7WH3fDV5\nchpS923ZdWOz7w+FqmYaUmnO48NTP+Q44dm3Z+3D/UNI97k5fH+chRlCcu8eUlFfV9W83f+6\nPqqLdnfsz2Tn5pyZv+H52ZP3Hv7aP9y1PZj2W/+6Z57vod03NP2jybeP058+PZtg1gb5134L\n1iEk9+4hnYavyu44pm7348ru4ObYb0ba56dP3lf4sn2uNtlsnN+ENPv208PTi7kxht263xCS\ne/OTDf3qO54SH5+cPVw8uTxNfTnuixUhLb79cbyTCVbX3cvzucFqhOSecEjF+OzzY6TzfFP2\n8O1vQ2r27WFUdnG0JBJGSO49C2n55KKp5vUQO5MfjpdFSMNZu/Ol3ajMDq4evv1ZSNO5PVY5\nx0jrEZJ7jyGV90OR8RjpthmZPnkforgdI3V/tgxpuI5UmrI/U9A9c7pV8j6kcnlgZFgrVmOR\nufcYUneq7roZKRdn7bpvmzxpzGUY4tCeWav6s3an5rw8Rmqvw7Z3NuyH/bLcHNrzcObJt/d/\neGnuIU0mmPfn+NgirUZI7j2GNBy4dOv89DpS/333J3Nz2wbdriNVwwHNab7lON6OdNqLQN31\noHI4fTD/9vbX+3gXc/N3+2asQ0juPQmpvZfA7Ppj+kN2u7NhGOD25Cm/hdSdUOsG2F2zO033\nBXvD3d/Hors5Yp+ZXf/88tvbX+/jXc5Nd2cDHa1HSMk57kPPwRYREiCAkAABhAQIICRAAHNP\nPvkAAABdSURBVCEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCA\nkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEPAPQbdjlmt0fQgA\nAAAASUVORK5CYII=",
"text/plain": [
"Plot with title \"Normal Q-Q Plot\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"qqnorm(gaw$age)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"\tShapiro-Wilk normality test\n",
"\n",
"data: gaw$age\n",
"W = 0.94634, p-value < 2.2e-16\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shapiro.test(gaw$age)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"mean2 = function(x) {\n",
" return(mean(x, na.rm = TRUE))\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"40.092939481268"
],
"text/latex": [
"40.092939481268"
],
"text/markdown": [
"40.092939481268"
],
"text/plain": [
"[1] 40.09294"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mean2(gaw$age)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Sex ethnicity avgAge\n",
"1 F 1 48.00000\n",
"2 M 1 32.20000\n",
"3 F 3 49.00000\n",
"4 M 3 48.50000\n",
"5 F 4 37.87097\n",
"6 M 4 36.09184\n",
"7 F 5 40.75000\n",
"8 M 5 30.33333\n",
"9 F 6 41.79032\n",
"10 M 6 39.73837\n",
"11 F 7 38.86957\n",
"12 M 7 38.65625\n",
"13 F 8 42.83333\n",
"14 M 8 27.50000\n"
]
}
],
"source": [
"\n",
"a1 = aggregate(gaw$age, by = list(gaw$sex, gaw$ethnicity), FUN = 'mean2')\n",
"colnames(a1) = c('Sex', 'ethnicity', 'avgAge')\n",
"print(a1)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Group1 mean\n",
"1 0 0.5196507\n",
"2 1 41.4166667\n",
"3 3 48.7500000\n",
"4 4 36.9581152\n",
"5 5 36.2857143\n",
"6 6 40.8044693\n",
"7 7 38.7820513\n",
"8 8 35.1666667\n"
]
}
],
"source": [
"a2 = aggregate(gaw$age, by = list(gaw$ethnicity), FUN = 'mean')\n",
"colnames(a2) = c('Group1', 'mean')\n",
"print(a2)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1] 1\n",
"[1] 2\n",
"[1] 3\n",
"[1] \"-0.2\"\n",
"[1] 5\n",
"[1] 6\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] 13\n",
"[1] 14\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] \"większe niż 0\"\n",
"[1] 19\n",
"[1] \"większe niż 0\"\n"
]
}
],
"source": [
"for (i in 1:20) {\n",
" k = i*runif(1, -1, 1)\n",
" if (k < -0.2) {\n",
" print(i)\n",
" } else if (k >= -0.2 & k < 0.5) {\n",
" print(\"-0.2\")\n",
" } else { \n",
" print(\"większe niż 0\")\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
" F M \n",
"788 826 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
" \n",
" 1 3 4 5 6 7 8\n",
" F 7 2 93 8 558 46 6\n",
" M 5 2 98 6 516 32 6"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
", , = 1\n",
"\n",
" \n",
" 1 3 4 5 6 7 8\n",
" F 2 2 34 1 167 22 3\n",
" M 0 1 16 1 35 1 0\n",
"\n",
", , = 2\n",
"\n",
" \n",
" 1 3 4 5 6 7 8\n",
" F 0 0 9 1 9 1 2\n",
" M 0 0 3 0 4 0 0\n",
"\n",
", , = 3\n",
"\n",
" \n",
" 1 3 4 5 6 7 8\n",
" F 3 0 19 3 224 11 0\n",
" M 1 0 25 3 129 9 1\n",
"\n",
", , = 5\n",
"\n",
" \n",
" 1 3 4 5 6 7 8\n",
" F 2 0 31 3 158 12 1\n",
" M 4 1 54 2 348 22 5\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"table(gaw$sex)\n",
"table(gaw$sex, gaw$ethnicity)\n",
"table(gaw$sex, gaw$ethnicity, gaw$alcoholDependence)"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" | IDMother | MaxDinks | packsDay |
\n",
"\n",
"\tIDMother | 1.000000000 | 0.03815285 | -0.006545066 |
\n",
"\tMaxDinks | 0.038152851 | 1.00000000 | 0.276456076 |
\n",
"\tpacksDay | -0.006545066 | 0.27645608 | 1.000000000 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lll}\n",
" & IDMother & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\tIDMother & 1.000000000 & 0.03815285 & -0.006545066\\\\\n",
"\tMaxDinks & 0.038152851 & 1.00000000 & 0.276456076\\\\\n",
"\tpacksDay & -0.006545066 & 0.27645608 & 1.000000000\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| | IDMother | MaxDinks | packsDay |\n",
"|---|---|---|---|\n",
"| IDMother | 1.000000000 | 0.03815285 | -0.006545066 |\n",
"| MaxDinks | 0.038152851 | 1.00000000 | 0.276456076 |\n",
"| packsDay | -0.006545066 | 0.27645608 | 1.000000000 |\n",
"\n"
],
"text/plain": [
" IDMother MaxDinks packsDay \n",
"IDMother 1.000000000 0.03815285 -0.006545066\n",
"MaxDinks 0.038152851 1.00000000 0.276456076\n",
"packsDay -0.006545066 0.27645608 1.000000000"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cor(gaw[,c(4,10,11)], use = \"complete.obs\")\n"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"\tPearson's product-moment correlation\n",
"\n",
"data: gaw$alcoholDependence and gaw$packsDay\n",
"t = 7.7408, df = 1379, p-value = 1.899e-14\n",
"alternative hypothesis: true correlation is not equal to 0\n",
"95 percent confidence interval:\n",
" 0.1529622 0.2540801\n",
"sample estimates:\n",
" cor \n",
"0.2040654 \n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cor.test(gaw$alcoholDependence, gaw$packsDay, use = \"complete.obs\")"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"List of 9\n",
" $ statistic : Named num -6.25\n",
" ..- attr(*, \"names\")= chr \"t\"\n",
" $ parameter : Named int 1386\n",
" ..- attr(*, \"names\")= chr \"df\"\n",
" $ p.value : num 5.35e-10\n",
" $ estimate : Named num -0.166\n",
" ..- attr(*, \"names\")= chr \"cor\"\n",
" $ null.value : Named num 0\n",
" ..- attr(*, \"names\")= chr \"correlation\"\n",
" $ alternative: chr \"two.sided\"\n",
" $ method : chr \"Pearson's product-moment correlation\"\n",
" $ data.name : chr \"gaw$age and gaw$MaxDinks\"\n",
" $ conf.int : num [1:2] -0.216 -0.114\n",
" ..- attr(*, \"conf.level\")= num 0.95\n",
" - attr(*, \"class\")= chr \"htest\"\n"
]
},
{
"data": {
"text/html": [
"5.35499046127328e-10"
],
"text/latex": [
"5.35499046127328e-10"
],
"text/markdown": [
"5.35499046127328e-10"
],
"text/plain": [
"[1] 5.35499e-10"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"str(corA)\n",
"corA$p.value"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"A=matrix(0,3,3)\n",
"vec = c(4,10,11)\n",
"for (i in 1:3) {\n",
" for (j in 1:3) {\n",
" A[i,j] = cor.test(gaw[,vec[i]], gaw[,vec[j]], use = \"complete.obs\")$p.value\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"A = as.data.frame(A)\n",
"colnames(A) = colnames(gaw[,vec])\n",
"rownames(A) = colnames(gaw[,vec])"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" | IDMother | MaxDinks | packsDay |
\n",
"\n",
"\tIDMother | 0.000000e+00 | 4.917381e-19 | 1.824893e-15 |
\n",
"\tMaxDinks | 4.917381e-19 | 0.000000e+00 | 1.474031e-16 |
\n",
"\tpacksDay | 1.824893e-15 | 1.474031e-16 | 0.000000e+00 |
\n",
"\n",
"
\n"
],
"text/latex": [
"\\begin{tabular}{r|lll}\n",
" & IDMother & MaxDinks & packsDay\\\\\n",
"\\hline\n",
"\tIDMother & 0.000000e+00 & 4.917381e-19 & 1.824893e-15\\\\\n",
"\tMaxDinks & 4.917381e-19 & 0.000000e+00 & 1.474031e-16\\\\\n",
"\tpacksDay & 1.824893e-15 & 1.474031e-16 & 0.000000e+00\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| | IDMother | MaxDinks | packsDay |\n",
"|---|---|---|---|\n",
"| IDMother | 0.000000e+00 | 4.917381e-19 | 1.824893e-15 |\n",
"| MaxDinks | 4.917381e-19 | 0.000000e+00 | 1.474031e-16 |\n",
"| packsDay | 1.824893e-15 | 1.474031e-16 | 0.000000e+00 |\n",
"\n"
],
"text/plain": [
" IDMother MaxDinks packsDay \n",
"IDMother 0.000000e+00 4.917381e-19 1.824893e-15\n",
"MaxDinks 4.917381e-19 0.000000e+00 1.474031e-16\n",
"packsDay 1.824893e-15 1.474031e-16 0.000000e+00"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"A"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Regresja liniowa"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$$y = \\mu + X\\cdot\\beta +\\epsilon$$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$$\\epsilon\\sim\\mathcal{N}(0,\\sigma^2)$$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$$y\\sim\\mathcal{N}(\\mu + \\beta\\cdot X,\\sigma^2)$$"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"lm(formula = MaxDinks ~ packsDay, data = gaw)\n",
"\n",
"Coefficients:\n",
"(Intercept) packsDay \n",
" 15.1054 0.1533 \n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model = lm(MaxDinks~packsDay, data = gaw)\n",
"model"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"18.1714"
],
"text/latex": [
"18.1714"
],
"text/markdown": [
"18.1714"
],
"text/plain": [
"[1] 18.1714"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"15.1054+20*0.1533"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"lm(formula = MaxDinks ~ packsDay, data = gaw)\n",
"\n",
"Residuals:\n",
" Min 1Q Median 3Q Max \n",
"-28.358 -10.409 -4.792 6.441 80.895 \n",
"\n",
"Coefficients:\n",
" Estimate Std. Error t value Pr(>|t|) \n",
"(Intercept) 15.10537 0.50507 29.908 <2e-16 ***\n",
"packsDay 0.15333 0.01833 8.363 <2e-16 ***\n",
"---\n",
"Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n",
"\n",
"Residual standard error: 15.67 on 1379 degrees of freedom\n",
" (233 observations deleted due to missingness)\n",
"Multiple R-squared: 0.04827,\tAdjusted R-squared: 0.04758 \n",
"F-statistic: 69.95 on 1 and 1379 DF, p-value: < 2.2e-16\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary(model)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(gaw$packsDay, gaw$MaxDinks, pch = 1, lwd = 2, xlab = \"papierosy\", ylab = \"alkohol\")\n",
"abline(model, lwd = 2, col = \"red\")"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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],
"text/latex": [
"\\begin{description*}\n",
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"\\end{description*}\n"
],
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"reszty_s = rstudent(model)\n",
"(k = which(abs(reszty_s) > 2))"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"lm(formula = MaxDinks ~ packsDay, data = gaw[-k, ])\n",
"\n",
"Residuals:\n",
" Min 1Q Median 3Q Max \n",
"-27.389 -10.293 -4.811 6.640 80.791 \n",
"\n",
"Coefficients:\n",
" Estimate Std. Error t value Pr(>|t|) \n",
"(Intercept) 15.20945 0.51314 29.640 < 2e-16 ***\n",
"packsDay 0.14320 0.01859 7.704 2.58e-14 ***\n",
"---\n",
"Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n",
"\n",
"Residual standard error: 15.63 on 1319 degrees of freedom\n",
" (220 observations deleted due to missingness)\n",
"Multiple R-squared: 0.04306,\tAdjusted R-squared: 0.04233 \n",
"F-statistic: 59.35 on 1 and 1319 DF, p-value: 2.583e-14\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model2 = lm(MaxDinks~packsDay, data = gaw[-k,])\n",
"summary(model2)"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"lm(formula = log(MaxDinks + 1) ~ packsDay + sex, data = gaw)\n",
"\n",
"Residuals:\n",
" Min 1Q Median 3Q Max \n",
"-3.2011 -0.4490 0.0431 0.4882 2.3217 \n",
"\n",
"Coefficients:\n",
" Estimate Std. Error t value Pr(>|t|) \n",
"(Intercept) 2.0363180 0.0309524 65.79 < 2e-16 ***\n",
"packsDay 0.0063625 0.0009208 6.91 7.39e-12 ***\n",
"sexM 0.8662911 0.0423924 20.43 < 2e-16 ***\n",
"---\n",
"Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n",
"\n",
"Residual standard error: 0.7774 on 1378 degrees of freedom\n",
" (233 observations deleted due to missingness)\n",
"Multiple R-squared: 0.2748,\tAdjusted R-squared: 0.2737 \n",
"F-statistic: 261.1 on 2 and 1378 DF, p-value: < 2.2e-16\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model3 = lm(MaxDinks~packsDay+sex, data = gaw)\n",
"summary(model3)"
]
}
],
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"display_name": "R",
"language": "R",
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