library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(dplyr)
library(infer)
library(EnvStats)
##
## Attaching package: 'EnvStats'
##
## The following objects are masked from 'package:stats':
##
## predict, predict.lm
##
## The following object is masked from 'package:base':
##
## print.default
msdlabs <- read.csv ("msdlabs.csv")
### Select African Americans
filter (msdlabs, AFAM %in% c(1))
## IDCODE AGE FEMALE AFAM AINA API WHITE OTHRACE HISP IQ HOUSEHOLD SCHLBELONG
## 1 1003 14 0 1 0 0 0 0 0 79 25 3.25
## 2 1004 14 0 1 0 0 0 0 0 91 5 3.00
## 3 1005 14 0 1 0 0 0 0 0 102 8 3.50
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## 7 1019 14 0 1 0 0 0 0 0 93 27 1.75
## 8 1037 14 1 1 0 0 0 0 0 91 50 3.75
## 9 1041 14 1 1 0 0 0 0 0 100 30 2.00
## 10 1052 14 1 1 0 0 0 0 0 102 38 2.50
## 11 1053 14 1 1 0 0 0 0 0 91 150 2.75
## 12 1055 14 1 1 0 0 0 0 0 92 13 3.25
## 13 1058 14 0 1 0 0 0 0 0 116 8 3.75
## 14 1059 14 1 1 0 0 0 0 0 108 76 1.75
## 15 1067 14 1 1 0 0 0 0 0 96 21 1.50
## 16 1069 14 1 1 0 0 0 0 0 73 18 1.25
## 17 1071 14 1 1 0 0 0 0 0 90 5 1.50
## 18 1076 14 1 1 0 0 0 0 0 80 30 2.75
## 19 1082 14 1 1 0 0 0 0 0 91 13 3.00
## 20 1086 14 0 1 0 0 0 0 0 92 15 3.50
## 21 1090 14 1 1 0 0 0 0 0 89 48 2.75
## 22 1092 14 1 1 0 0 0 0 0 62 12 3.50
## 23 1095 14 1 1 0 0 0 0 0 80 50 2.00
## 24 1096 14 0 1 0 0 0 0 0 94 4 3.25
## 25 1099 14 0 1 0 0 0 0 0 104 39 3.00
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## 414 2494 13 1 1 0 0 0 0 0 96 21 3.00
## 415 2495 13 0 1 0 0 0 0 0 105 20 3.00
## 416 2499 13 1 1 0 0 0 0 0 116 43 4.00
## 417 2507 13 1 1 0 0 0 0 0 93 55 2.75
## 418 2508 13 1 1 0 0 0 0 0 137 60 3.00
## 419 2516 13 1 1 0 0 0 0 0 89 16 2.50
## 420 2521 13 0 1 0 0 0 0 0 101 52 2.50
## 421 2522 13 1 1 0 0 0 0 0 104 25 2.75
## 422 2523 13 1 1 0 0 0 0 0 93 18 3.00
## 423 2524 13 1 1 0 0 0 0 0 115 25 2.50
## 424 2525 13 0 1 0 0 0 0 0 106 13 3.00
## 425 2526 13 1 1 0 0 0 0 0 94 21 2.75
## 426 2527 13 1 1 0 0 0 0 0 93 25 3.25
## 427 2528 12 1 1 0 0 0 0 0 146 20 3.00
## 428 2530 12 1 1 0 0 0 0 0 69 25 2.50
## 429 2532 12 0 1 0 0 0 0 0 93 50 1.50
## 430 2533 12 0 1 0 0 0 0 0 88 8 2.25
## 431 2537 12 0 1 0 0 0 0 0 84 6 3.00
## 432 2543 12 0 1 0 0 0 0 1 108 28 2.50
## 433 2544 12 0 1 0 0 0 0 0 115 33 3.50
## 434 2545 12 1 1 0 0 0 0 0 88 8 2.50
## 435 2546 12 1 1 0 0 0 0 0 82 20 0.00
## 436 2547 12 0 1 0 0 0 0 0 138 50 3.25
## 437 2552 12 1 1 0 0 0 0 0 93 45 0.00
## SELFCONCEPT FAMCONNECT DEPRESS FIGHTING COMPHS ARRESTEDB18 ARRESTEDA18
## 1 2.86 3.60 0.50 0.33 1 2 1
## 2 4.00 3.40 1.00 0.00 1 0 0
## 3 4.00 3.60 0.60 2.33 1 0 0
## 4 4.00 2.83 0.90 0.00 1 0 0
## 5 3.00 3.20 0.50 0.33 0 0 0
## 6 3.29 3.60 0.55 0.00 1 1 0
## 7 2.86 4.00 0.85 1.33 1 0 0
## 8 3.57 3.83 0.85 0.00 1 0 0
## 9 3.71 3.60 1.45 0.67 1 0 0
## 10 4.00 3.60 0.95 1.00 1 0 1
## 11 3.57 3.83 1.10 0.00 1 0 0
## 12 3.29 3.20 1.15 0.00 1 0 0
## 13 3.86 3.40 0.70 1.00 1 0 0
## 14 2.14 2.17 1.10 0.00 1 0 0
## 15 3.86 3.67 0.85 0.00 1 0 0
## 16 3.00 4.00 1.15 1.33 0 0 0
## 17 2.71 3.40 0.55 0.33 1 0 0
## 18 3.57 3.50 1.05 0.00 1 0 0
## 19 3.71 3.60 0.60 0.00 1 0 0
## 20 3.29 4.00 0.85 2.00 1 0 0
## 21 3.86 3.83 0.20 0.00 1 0 0
## 22 3.71 4.00 0.95 2.00 0 0 0
## 23 2.29 2.40 0.80 1.67 1 0 0
## 24 4.00 3.80 0.75 0.33 1 0 0
## 25 3.86 3.83 0.65 0.33 1 0 0
## 26 4.00 3.60 0.80 1.67 1 0 0
## 27 3.43 4.00 0.45 0.67 1 0 0
## 28 3.57 4.00 0.95 0.00 1 0 0
## 29 3.00 3.40 0.80 0.00 1 0 1
## 30 3.86 3.50 0.95 0.33 0 0 0
## 31 3.29 1.83 0.75 0.33 1 0 0
## 32 3.71 3.00 0.40 0.00 1 0 0
## 33 4.00 4.00 0.60 0.00 1 0 0
## 34 3.57 3.17 0.85 0.00 1 0 0
## 35 2.29 2.60 1.30 0.67 1 0 0
## 36 3.00 4.00 0.00 0.00 1 0 0
## 37 2.43 3.33 1.00 0.00 1 0 0
## 38 3.71 3.17 0.85 0.67 1 0 0
## 39 2.57 2.67 0.70 0.00 1 0 0
## 40 3.14 3.60 0.50 0.00 1 0 0
## 41 3.14 3.67 0.40 0.67 1 0 2
## 42 3.57 3.20 0.55 1.00 1 0 0
## 43 3.71 3.40 1.30 0.00 1 0 2
## 44 3.71 3.80 0.85 0.00 0 0 0
## 45 3.43 3.33 0.85 0.67 1 0 0
## 46 3.00 2.40 0.45 0.00 1 0 0
## 47 4.00 3.80 0.30 0.00 1 0 0
## 48 4.00 3.83 0.85 0.00 0 0 0
## 49 4.00 3.50 0.75 0.00 1 0 0
## 50 2.71 3.17 0.70 0.33 1 0 0
## 51 3.57 4.00 0.65 0.00 1 0 0
## 52 3.00 4.00 0.95 0.00 1 0 0
## 53 3.71 3.00 0.95 0.00 1 0 1
## 54 3.00 3.33 0.50 0.33 1 0 0
## 55 3.00 3.67 1.10 2.33 1 0 0
## 56 3.14 2.40 0.75 1.33 1 0 0
## 57 3.71 3.20 0.70 0.33 1 1 0
## 58 2.71 3.00 0.65 0.67 1 0 0
## 59 3.57 4.00 0.80 1.00 1 0 0
## 60 3.00 3.00 0.65 0.00 1 0 0
## 61 3.00 3.50 0.85 0.67 1 0 0
## 62 2.14 2.50 1.35 0.00 1 0 0
## 63 2.86 3.20 0.75 0.33 1 0 0
## 64 2.43 2.00 0.65 0.33 1 0 0
## 65 3.00 2.60 0.85 0.00 1 0 0
## 66 3.86 4.00 0.75 0.00 1 0 0
## 67 3.00 3.40 0.55 0.00 0 0 0
## 68 3.57 2.20 0.95 0.00 1 0 0
## 69 3.86 3.80 0.75 0.67 1 0 0
## 70 3.86 2.80 0.85 0.67 1 0 0
## 71 2.71 3.33 1.20 0.00 1 0 0
## 72 3.57 3.80 0.60 1.67 0 0 0
## 73 3.71 3.50 0.55 0.00 1 0 0
## 74 2.71 3.40 0.80 0.33 1 0 0
## 75 3.71 3.67 0.80 0.00 1 0 0
## 76 4.00 3.00 0.50 0.33 1 0 0
## 77 3.14 3.00 0.65 0.00 1 1 0
## 78 3.43 3.67 0.65 0.67 1 0 0
## 79 3.71 3.17 1.00 0.33 1 0 0
## 80 2.57 3.33 0.60 0.33 1 0 0
## 81 2.71 3.20 0.10 0.67 1 0 0
## 82 3.29 3.40 0.70 0.67 1 0 0
## 83 3.00 3.60 0.50 1.00 1 0 0
## 84 3.57 3.17 0.60 0.00 1 0 0
## 85 2.71 3.80 0.60 0.00 0 0 0
## 86 3.86 4.00 0.55 0.33 1 0 0
## 87 4.00 3.67 0.60 0.00 1 0 0
## 88 3.57 4.00 1.05 0.33 1 1 0
## 89 3.14 3.00 0.80 3.00 1 0 0
## 90 2.00 0.83 0.65 1.33 1 0 0
## 91 3.29 4.00 0.90 0.33 1 0 0
## 92 4.00 3.00 0.45 0.00 1 0 0
## 93 3.71 3.80 0.60 0.00 1 0 0
## 94 4.00 3.50 1.55 1.00 1 0 0
## 95 4.00 3.17 0.50 0.00 1 0 0
## 96 4.00 4.00 0.40 1.00 0 0 2
## 97 3.71 3.33 1.20 1.00 1 0 0
## 98 3.86 3.80 0.60 1.00 1 0 0
## 99 3.71 3.40 0.55 0.00 1 0 0
## 100 4.00 3.40 0.70 0.00 1 0 0
## 101 3.57 3.00 1.60 0.67 1 0 0
## 102 3.71 4.00 0.55 0.33 1 0 0
## 103 3.57 3.83 0.65 0.00 1 0 0
## 104 3.29 3.60 0.80 0.67 1 3 0
## 105 4.00 3.83 0.85 0.00 1 0 0
## 106 2.43 2.60 1.45 0.00 1 0 0
## 107 4.00 3.50 0.80 1.00 1 0 0
## 108 3.57 3.80 0.50 0.00 1 0 0
## 109 3.71 3.50 0.55 0.33 1 0 0
## 110 3.86 3.00 0.90 0.67 0 0 0
## 111 2.00 1.80 0.90 0.33 1 0 0
## 112 2.29 2.67 0.20 0.67 0 0 0
## 113 4.00 4.00 0.40 0.00 1 0 0
## 114 3.57 3.00 0.95 1.67 1 0 0
## 115 3.29 3.50 0.80 0.00 1 0 0
## 116 3.00 4.00 0.65 0.33 1 0 0
## 117 3.00 3.83 0.55 0.33 1 0 0
## 118 4.00 3.20 0.90 0.00 1 0 0
## 119 2.57 2.00 0.85 0.00 1 0 0
## 120 3.00 3.60 0.45 0.00 1 0 0
## 121 3.29 3.50 0.75 0.00 1 0 0
## 122 4.00 3.33 1.00 0.00 1 0 0
## 123 3.29 3.20 0.35 0.00 1 0 0
## 124 2.86 2.67 0.85 0.33 1 0 0
## 125 3.57 2.50 0.50 0.33 1 0 0
## 126 3.43 3.67 0.55 0.00 1 0 0
## 127 4.00 4.00 1.20 1.33 0 0 7
## 128 2.86 3.40 0.75 0.00 1 0 0
## 129 3.43 4.00 0.85 1.33 1 0 0
## 130 3.14 4.00 0.50 0.67 1 0 0
## 131 3.14 2.00 0.40 0.00 0 0 0
## 132 2.86 3.60 0.95 0.00 1 0 0
## 133 3.86 3.83 0.65 0.33 1 0 0
## 134 3.00 3.20 1.05 0.67 1 0 0
## 135 1.43 2.40 0.55 0.00 1 0 0
## 136 3.00 3.40 1.10 0.67 1 0 1
## 137 3.86 3.80 0.60 0.67 1 0 0
## 138 3.57 3.80 0.90 0.00 1 0 0
## 139 2.86 2.60 1.25 1.67 1 1 0
## 140 4.00 2.40 0.30 0.00 0 0 0
## 141 3.29 3.80 0.80 0.33 0 0 0
## 142 3.00 1.60 0.75 0.67 1 0 2
## 143 2.71 3.17 0.95 0.33 1 0 0
## 144 3.86 3.67 0.75 0.33 1 0 0
## 145 3.57 2.67 1.05 0.00 1 0 0
## 146 3.71 3.40 1.05 0.33 1 0 0
## 147 3.14 3.40 0.15 0.00 1 0 0
## 148 2.43 2.60 1.50 0.00 1 0 0
## 149 3.00 3.17 0.85 0.00 1 0 0
## 150 3.86 3.67 0.75 0.00 1 0 0
## 151 2.14 3.00 1.05 0.00 1 0 0
## 152 3.14 3.00 0.80 0.00 1 0 0
## 153 4.00 3.67 0.55 0.00 1 0 0
## 154 2.57 3.83 0.55 0.00 1 0 0
## 155 4.00 4.00 0.90 0.00 1 0 0
## 156 3.57 4.00 0.50 0.33 1 0 0
## 157 3.43 2.83 0.65 0.00 1 0 0
## 158 2.86 4.00 0.60 0.67 1 0 0
## 159 3.71 3.00 0.75 0.00 1 0 0
## 160 3.00 3.80 0.85 1.00 1 0 1
## 161 3.00 2.20 1.00 1.00 1 0 0
## 162 4.00 3.83 0.75 0.67 1 0 0
## 163 4.00 4.00 0.30 0.00 1 0 0
## 164 3.00 4.00 0.55 0.33 1 0 0
## 165 3.71 3.60 0.75 0.00 1 0 0
## 166 4.00 3.83 0.85 0.00 1 0 0
## 167 3.86 3.33 1.15 0.67 1 0 0
## 168 3.86 3.50 0.65 0.33 1 0 0
## 169 3.14 4.00 0.85 1.33 1 0 0
## 170 3.00 3.67 1.50 0.67 1 0 0
## 171 3.00 3.20 0.65 1.00 1 0 0
## 172 2.86 3.00 0.95 1.00 1 0 0
## 173 3.71 2.67 0.65 0.00 1 0 0
## 174 4.00 3.60 0.70 0.00 0 0 0
## 175 3.57 4.00 0.80 0.00 0 0 0
## 176 3.14 2.67 0.80 0.67 0 0 0
## 177 2.33 4.00 1.60 1.00 0 0 0
## 178 3.57 4.00 0.90 1.00 0 0 0
## 179 3.00 3.00 0.45 1.00 0 0 0
## 180 3.86 3.83 1.20 2.00 1 0 0
## 181 3.00 2.80 0.65 0.33 1 0 0
## 182 2.71 3.50 0.50 0.00 1 0 0
## 183 3.43 3.80 0.55 0.00 1 0 0
## 184 3.29 3.33 0.45 0.00 1 0 0
## 185 3.00 2.40 0.65 2.00 1 0 0
## 186 3.14 1.83 0.50 0.00 1 0 0
## 187 3.71 2.60 0.85 1.67 0 0 0
## 188 3.00 3.00 0.65 1.00 0 0 0
## 189 3.57 3.33 0.75 0.00 1 0 0
## 190 3.86 2.00 0.50 0.00 1 0 0
## 191 2.57 2.80 1.10 0.67 1 1 0
## 192 3.00 3.80 0.75 1.33 0 0 0
## 193 2.57 3.20 0.55 0.67 1 0 0
## 194 3.86 3.60 0.95 1.00 1 0 0
## 195 2.71 3.33 0.85 0.00 1 0 0
## 196 3.86 3.67 0.50 1.33 1 0 0
## 197 0.43 2.40 1.15 3.00 0 1 0
## 198 3.86 3.33 1.30 0.67 1 0 0
## 199 4.00 3.80 1.20 0.67 1 0 0
## 200 4.00 4.00 1.15 0.33 1 0 0
## 201 3.57 3.83 0.35 0.33 1 0 0
## 202 3.86 3.83 0.90 0.33 1 0 0
## 203 2.86 2.83 1.35 0.33 1 0 0
## 204 3.71 3.83 0.60 1.00 1 0 0
## 205 4.00 4.00 0.55 0.00 1 0 0
## 206 3.86 4.00 0.75 0.33 1 0 0
## 207 2.14 1.67 1.45 1.67 1 0 1
## 208 3.43 4.00 0.65 0.00 1 0 0
## 209 3.71 2.50 1.95 0.00 1 0 0
## 210 2.86 3.67 0.45 0.00 1 0 0
## 211 3.29 3.83 0.60 0.67 1 0 0
## 212 2.29 1.33 0.90 0.00 1 0 0
## 213 3.00 2.33 1.05 0.33 1 0 0
## 214 2.29 2.40 0.65 0.00 1 0 0
## 215 2.86 4.00 0.90 0.00 0 0 0
## 216 3.29 3.60 0.95 0.00 1 0 0
## 217 3.00 3.00 0.55 0.00 1 0 0
## 218 2.57 3.17 0.70 0.00 1 0 0
## 219 3.57 2.20 1.00 0.67 1 0 0
## 220 3.43 3.80 0.65 0.33 1 0 0
## 221 2.14 2.00 0.85 0.33 0 0 0
## 222 3.14 3.40 0.60 0.00 1 0 0
## 223 3.14 4.00 0.55 1.67 0 0 0
## 224 4.00 4.00 1.55 3.00 1 0 0
## 225 3.00 2.83 0.70 0.33 1 0 0
## 226 2.86 3.80 0.75 0.00 1 0 0
## 227 3.71 3.40 0.95 0.00 1 0 0
## 228 3.00 3.67 0.75 0.67 1 0 0
## 229 3.00 2.80 0.50 0.00 1 0 0
## 230 2.57 2.20 0.80 0.33 1 0 0
## 231 3.29 3.00 0.65 0.00 1 0 0
## 232 2.86 3.00 0.25 0.00 1 0 0
## 233 3.14 3.80 1.50 0.33 1 0 2
## 234 4.00 3.00 0.60 0.33 1 0 0
## 235 3.00 3.33 0.85 0.33 1 0 0
## 236 3.86 2.33 0.60 0.00 1 0 0
## 237 3.71 4.00 0.60 0.00 1 0 0
## 238 3.86 3.17 0.45 0.00 1 0 0
## 239 3.00 3.83 0.70 0.00 1 0 0
## 240 3.57 3.00 1.75 1.00 1 0 0
## 241 3.57 3.17 1.20 0.67 1 0 0
## 242 3.43 3.80 0.70 0.00 1 0 0
## 243 4.00 3.80 0.75 1.00 1 0 0
## 244 3.86 4.00 1.25 0.33 1 0 0
## 245 3.86 4.00 0.80 0.00 1 0 0
## 246 4.00 3.20 0.50 0.00 1 0 0
## 247 2.57 4.00 0.95 1.00 0 0 0
## 248 3.00 2.67 1.20 0.67 0 4 3
## 249 2.57 3.50 0.60 0.00 1 0 0
## 250 2.86 4.00 1.10 1.00 1 1 0
## 251 3.86 4.00 0.30 0.00 0 2 0
## 252 4.00 3.00 0.65 0.00 1 0 0
## 253 3.57 3.83 1.30 0.00 1 0 0
## 254 1.86 3.00 1.20 1.00 1 0 0
## 255 3.86 4.00 0.55 0.00 1 0 0
## 256 3.86 3.50 0.60 0.67 1 0 0
## 257 3.43 2.33 0.65 0.33 1 0 0
## 258 3.43 2.80 0.60 0.67 1 0 0
## 259 3.00 3.50 0.85 1.33 1 2 0
## 260 3.86 3.17 0.60 0.00 1 0 0
## 261 3.43 4.00 0.60 0.00 1 0 0
## 262 3.86 4.00 0.25 2.00 0 0 0
## 263 4.00 3.80 0.40 2.33 1 0 0
## 264 3.57 3.60 0.70 0.67 1 0 0
## 265 3.86 3.20 2.05 2.33 0 0 3
## 266 3.57 4.00 0.65 0.33 0 1 0
## 267 3.43 3.00 0.50 0.00 1 0 0
## 268 3.71 3.80 0.60 0.00 0 0 0
## 269 3.57 3.60 0.80 0.00 1 0 0
## 270 3.14 1.20 0.90 0.00 1 0 0
## 271 3.71 2.83 1.40 0.00 1 0 0
## 272 4.00 3.80 0.85 0.33 1 0 0
## 273 2.86 3.00 0.50 0.00 1 0 1
## 274 4.00 4.00 0.80 0.00 1 0 0
## 275 3.71 4.00 0.80 0.00 1 0 0
## 276 3.14 2.80 0.50 1.00 1 3 1
## 277 3.14 2.83 0.45 0.33 1 0 0
## 278 4.00 4.00 0.60 0.00 1 0 0
## 279 3.00 1.67 1.30 0.67 1 0 0
## 280 3.43 3.33 0.75 0.33 1 1 1
## 281 3.00 1.50 1.15 2.33 1 0 0
## 282 3.29 2.33 0.45 0.00 1 0 0
## 283 3.14 3.60 0.70 0.00 1 0 0
## 284 2.86 2.40 0.75 0.00 1 0 0
## 285 3.00 1.50 1.30 0.33 1 1 0
## 286 3.86 3.40 0.75 0.67 1 0 0
## 287 3.71 4.00 1.10 1.33 1 0 0
## 288 3.00 2.40 1.15 1.33 0 0 0
## 289 3.86 3.50 0.90 1.33 1 0 0
## 290 3.57 2.40 0.55 0.67 1 0 0
## 291 3.57 3.40 0.50 0.00 1 0 0
## 292 3.00 3.60 0.75 0.67 1 0 0
## 293 4.00 4.00 0.50 0.33 1 0 0
## 294 3.86 4.00 0.90 0.33 1 1 0
## 295 3.00 3.00 0.80 0.00 1 0 0
## 296 3.71 3.83 0.60 1.33 1 0 0
## 297 2.86 2.50 0.90 0.67 1 0 0
## 298 3.71 2.17 0.60 0.00 1 1 0
## 299 2.71 2.33 0.65 0.00 1 0 0
## 300 1.86 2.00 0.80 0.00 1 0 0
## 301 3.00 3.20 0.90 0.00 1 2 1
## 302 3.43 3.60 0.80 0.00 1 0 0
## 303 3.43 3.50 1.20 0.67 1 0 0
## 304 3.71 3.50 1.45 0.00 0 0 0
## 305 3.29 2.83 1.15 0.33 1 0 0
## 306 2.71 3.83 0.80 0.00 1 0 0
## 307 2.86 3.17 2.40 1.33 1 0 0
## 308 3.86 3.17 0.60 0.00 1 0 0
## 309 4.00 2.83 0.55 0.67 1 0 0
## 310 3.57 4.00 0.90 0.00 1 0 0
## 311 3.71 4.00 1.10 1.00 1 0 2
## 312 3.86 3.83 0.65 0.67 1 0 0
## 313 3.43 4.00 0.80 0.67 1 0 0
## 314 3.00 3.20 0.80 1.00 0 0 0
## 315 3.57 1.50 0.85 0.00 1 0 0
## 316 4.00 4.00 0.45 0.00 0 0 0
## 317 3.71 1.80 0.60 0.00 1 0 0
## 318 2.86 1.80 0.80 0.33 1 0 0
## 319 3.14 1.80 0.80 3.00 1 0 0
## 320 2.57 2.67 0.55 0.00 1 0 0
## 321 3.43 3.83 0.70 0.33 1 0 0
## 322 4.00 3.83 0.65 0.00 1 0 0
## 323 3.57 3.50 0.45 0.00 1 0 0
## 324 4.00 3.60 0.50 0.33 1 0 0
## 325 4.00 3.00 0.55 0.00 0 0 0
## 326 3.29 3.00 0.85 0.67 1 0 0
## 327 3.86 4.00 0.65 0.00 1 0 0
## 328 3.86 3.83 0.95 0.33 1 0 0
## 329 3.00 3.67 0.85 0.33 1 0 0
## 330 3.86 3.50 0.75 0.67 1 0 0
## 331 3.43 3.40 0.75 0.33 1 0 0
## 332 4.00 3.80 0.65 0.00 1 0 0
## 333 3.86 3.33 0.60 0.00 1 0 0
## 334 4.00 3.83 0.70 0.00 1 0 0
## 335 3.86 3.60 0.70 0.00 1 0 1
## 336 3.14 3.40 0.75 0.67 0 0 0
## 337 4.00 4.00 0.75 0.00 1 0 0
## 338 3.57 3.40 1.30 0.33 1 0 0
## 339 3.86 4.00 1.00 0.00 1 0 0
## 340 3.57 3.83 0.85 0.33 1 0 0
## 341 3.00 4.00 0.55 0.00 1 0 0
## 342 3.14 2.60 0.80 0.33 1 0 0
## 343 3.43 3.50 1.25 1.00 1 0 0
## 344 3.14 3.80 1.20 0.67 1 0 0
## 345 2.43 2.60 0.65 0.00 1 0 0
## 346 3.00 2.50 0.65 0.00 1 0 0
## 347 3.86 3.00 0.90 0.33 1 0 0
## 348 4.00 3.83 0.40 0.00 1 0 0
## 349 3.29 3.17 1.10 0.00 1 0 0
## 350 3.00 3.83 0.60 0.33 0 0 0
## 351 4.00 2.80 0.85 1.67 0 0 1
## 352 4.00 2.00 0.95 1.67 0 3 1
## 353 3.86 4.00 0.90 0.67 1 0 0
## 354 4.00 3.80 0.70 0.00 1 0 0
## 355 3.57 4.00 0.50 0.00 1 0 0
## 356 3.14 3.00 0.30 0.00 1 0 0
## 357 4.00 3.17 0.35 0.33 1 0 0
## 358 3.71 4.00 0.75 0.00 1 0 0
## 359 2.86 3.17 0.55 0.00 1 0 0
## 360 3.71 1.83 0.50 0.67 1 0 0
## 361 3.86 2.83 0.90 0.33 1 0 0
## 362 4.00 4.00 0.95 0.67 1 0 2
## 363 2.57 2.80 0.55 1.33 0 0 0
## 364 3.86 3.50 0.90 0.33 1 0 0
## 365 3.86 3.50 0.95 0.33 1 0 0
## 366 3.29 2.00 0.65 0.33 0 0 0
## 367 3.71 3.50 0.65 0.67 1 0 0
## 368 3.57 3.80 1.15 0.33 1 0 0
## 369 3.14 3.20 0.75 0.33 1 0 0
## 370 3.57 3.40 0.75 2.67 1 0 0
## 371 3.43 3.40 1.15 0.67 1 0 0
## 372 3.00 4.00 0.50 0.00 1 0 0
## 373 4.00 3.80 0.60 0.00 1 0 0
## 374 3.71 4.00 1.15 0.00 1 0 0
## 375 2.71 3.40 1.35 0.33 1 0 0
## 376 3.86 3.00 0.70 0.00 1 0 0
## 377 3.29 2.60 0.60 0.00 1 0 0
## 378 4.00 4.00 0.50 0.00 1 0 0
## 379 3.29 3.00 0.70 0.33 1 0 0
## 380 3.29 2.67 0.70 0.00 1 0 0
## 381 3.43 3.20 0.65 0.33 1 0 0
## 382 3.86 3.00 0.80 0.00 1 0 0
## 383 3.00 4.00 0.50 0.33 1 0 0
## 384 3.71 3.80 1.25 0.00 1 0 0
## 385 3.71 2.83 0.65 0.67 1 0 0
## 386 3.71 4.00 0.55 0.33 1 0 0
## 387 3.00 2.80 0.65 0.33 1 0 0
## 388 4.00 4.00 0.60 0.00 1 0 0
## 389 3.86 3.33 0.40 0.00 1 0 0
## 390 3.14 2.50 0.75 0.00 1 0 0
## 391 3.00 3.17 1.15 0.33 1 0 0
## 392 3.29 3.33 0.50 0.33 1 0 0
## 393 3.29 2.00 0.70 0.33 0 0 0
## 394 3.14 4.00 1.30 0.00 1 0 0
## 395 3.43 2.60 0.90 0.33 1 0 0
## 396 3.57 3.17 0.50 0.00 1 0 0
## 397 2.57 2.50 1.40 0.00 1 0 0
## 398 3.71 3.83 1.26 0.67 1 0 0
## 399 3.14 2.80 0.60 0.00 1 0 0
## 400 3.00 3.20 0.50 0.00 1 0 0
## 401 3.43 3.33 0.75 0.00 1 0 0
## 402 3.14 2.83 1.10 0.00 0 1 0
## 403 3.00 3.67 0.95 0.67 1 0 0
## 404 3.00 3.80 0.70 0.00 1 0 0
## 405 2.71 2.00 0.90 0.00 1 0 0
## 406 2.86 3.40 0.65 0.67 1 2 0
## 407 4.00 3.67 0.70 0.67 1 0 0
## 408 3.43 2.83 0.60 0.00 1 0 0
## 409 4.00 3.83 0.70 0.00 1 0 0
## 410 3.71 3.67 0.85 0.00 1 0 0
## 411 3.71 4.00 0.80 0.00 1 0 0
## 412 3.86 4.00 0.60 0.00 1 0 0
## 413 3.14 4.00 0.95 2.33 1 0 0
## 414 3.00 3.67 0.60 0.00 1 0 0
## 415 4.00 3.00 0.85 0.00 1 0 0
## 416 3.00 2.40 1.15 0.33 1 0 0
## 417 3.86 3.83 0.70 0.00 1 0 0
## 418 3.14 3.00 0.65 0.00 1 0 0
## 419 3.14 3.20 0.60 0.00 1 0 0
## 420 3.00 4.00 0.60 0.00 1 0 0
## 421 3.00 3.17 0.85 0.00 1 0 0
## 422 4.00 3.33 0.50 0.00 0 0 0
## 423 2.14 2.60 1.15 0.00 1 0 0
## 424 4.00 4.00 0.45 0.00 1 0 0
## 425 3.71 3.60 0.80 0.33 1 0 0
## 426 3.57 3.40 1.50 0.00 1 0 0
## 427 3.57 3.17 1.20 0.33 0 0 0
## 428 3.86 3.40 0.45 0.33 0 0 0
## 429 3.43 4.00 0.45 1.00 1 0 0
## 430 3.00 4.00 0.20 0.67 0 0 0
## 431 4.00 4.00 0.55 0.00 0 0 0
## 432 2.86 3.33 0.50 0.33 1 0 1
## 433 3.57 3.83 0.60 0.33 1 0 0
## 434 4.00 3.80 1.05 0.67 1 0 0
## 435 3.00 4.00 0.95 0.00 1 0 0
## 436 3.43 3.60 0.65 0.00 1 0 0
## 437 2.86 3.50 0.70 0.33 1 0 0
### Test the variables for normality using the Shapiro-Wilk test. If the p-value is < .05, the
### variable is not normally distributed.
shapiro.test(msdlabs$IQ)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$IQ
## W = 0.99509, p-value = 5.521e-05
shapiro.test(msdlabs$HOUSEHOLD)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$HOUSEHOLD
## W = 0.65552, p-value < 2.2e-16
shapiro.test(msdlabs$SCHLBELONG)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$SCHLBELONG
## W = 0.95106, p-value < 2.2e-16
shapiro.test(msdlabs$SELFCONCEPT)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$SELFCONCEPT
## W = 0.9365, p-value < 2.2e-16
shapiro.test(msdlabs$FAMCONNECT)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$FAMCONNECT
## W = 0.92983, p-value < 2.2e-16
shapiro.test(msdlabs$DEPRESS)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$DEPRESS
## W = 0.93665, p-value < 2.2e-16
shapiro.test(msdlabs$FIGHTING)
##
## Shapiro-Wilk normality test
##
## data: msdlabs$FIGHTING
## W = 0.68387, p-value < 2.2e-16
### Confirm the non-normality of the variables by plotting histograms
hist(msdlabs$IQ)
hist(msdlabs$HOUSEHOLD)
hist(msdlabs$SCHLBELONG)
hist(msdlabs$SELFCONCEPT)
hist(msdlabs$FAMCONNECT)
hist(msdlabs$DEPRESS)
hist(msdlabs$FIGHTING)
### Determine if there are gender differences in the continuous variables.
t.test(msdlabs$IQ ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$IQ by msdlabs$FEMALE
## t = 1.9882, df = 1496.9, p-value = 0.04698
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.01989502 2.95362078
## sample estimates:
## mean in group 0 mean in group 1
## 102.2338 100.7470
t.test(msdlabs$HOUSEHOLD ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$HOUSEHOLD by msdlabs$FEMALE
## t = -1.6491, df = 1552.4, p-value = 0.09933
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -7.7058932 0.6667296
## sample estimates:
## mean in group 0 mean in group 1
## 44.19437 47.71395
t.test(msdlabs$SCHLBELONG ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$SCHLBELONG by msdlabs$FEMALE
## t = 1.2297, df = 1543.7, p-value = 0.219
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.0274536 0.1197271
## sample estimates:
## mean in group 0 mean in group 1
## 2.869718 2.823582
t.test(msdlabs$SELFCONCEPT ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$SELFCONCEPT by msdlabs$FEMALE
## t = 6.7469, df = 1553.3, p-value = 2.125e-11
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.1349789 0.2456314
## sample estimates:
## mean in group 0 mean in group 1
## 3.366310 3.176005
t.test(msdlabs$FAMCONNECT ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$FAMCONNECT by msdlabs$FEMALE
## t = 4.5498, df = 1542.2, p-value = 5.79e-06
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.08453714 0.21266714
## sample estimates:
## mean in group 0 mean in group 1
## 3.259099 3.110496
t.test(msdlabs$DEPRESS ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$DEPRESS by msdlabs$FEMALE
## t = -3.1668, df = 1553.3, p-value = 0.001571
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.06784077 -0.01594420
## sample estimates:
## mean in group 0 mean in group 1
## 0.7455070 0.7873995
t.test(msdlabs$FIGHTING ~ msdlabs$FEMALE, mu = 0, alt = "two.sided", conf = 0.95, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: msdlabs$FIGHTING by msdlabs$FEMALE
## t = 6.3382, df = 1370.5, p-value = 3.148e-10
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.1158428 0.2196927
## sample estimates:
## mean in group 0 mean in group 1
## 0.4250845 0.2573168
### Determine if there are significant significant correlations among the continuous variables.
cor.test(msdlabs$IQ, msdlabs$HOUSEHOLD)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$HOUSEHOLD
## t = 10.8, df = 1554, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2173883 0.3098535
## sample estimates:
## cor
## 0.264228
cor.test(msdlabs$IQ, msdlabs$SCHLBELONG)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$SCHLBELONG
## t = 1.7099, df = 1554, p-value = 0.08748
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.006372495 0.092829440
## sample estimates:
## cor
## 0.04333529
cor.test(msdlabs$IQ, msdlabs$SELFCONCEPT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$SELFCONCEPT
## t = 0.49515, df = 1554, p-value = 0.6206
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.03715767 0.06221481
## sample estimates:
## cor
## 0.01255958
cor.test(msdlabs$IQ, msdlabs$FAMCONNECT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$FAMCONNECT
## t = -3.5792, df = 1554, p-value = 0.0003552
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.13949052 -0.04091304
## sample estimates:
## cor
## -0.09042326
cor.test(msdlabs$IQ, msdlabs$DEPRESS)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$DEPRESS
## t = -0.7628, df = 1554, p-value = 0.4457
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.06897438 0.03037664
## sample estimates:
## cor
## -0.01934663
cor.test(msdlabs$IQ, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$IQ and msdlabs$FIGHTING
## t = -4.7916, df = 1554, p-value = 1.812e-06
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.16934129 -0.07139669
## sample estimates:
## cor
## -0.1206626
cor.test(msdlabs$HOUSEHOLD, msdlabs$SCHLBELONG)
##
## Pearson's product-moment correlation
##
## data: msdlabs$HOUSEHOLD and msdlabs$SCHLBELONG
## t = 1.6678, df = 1554, p-value = 0.09555
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.007439536 0.091771439
## sample estimates:
## cor
## 0.04227015
cor.test(msdlabs$HOUSEHOLD, msdlabs$SELFCONCEPT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$HOUSEHOLD and msdlabs$SELFCONCEPT
## t = 1.4961, df = 1554, p-value = 0.1348
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.01179199 0.08745354
## sample estimates:
## cor
## 0.03792429
cor.test(msdlabs$HOUSEHOLD, msdlabs$FAMCONNECT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$HOUSEHOLD and msdlabs$FAMCONNECT
## t = 0.098598, df = 1554, p-value = 0.9215
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.04719876 0.05218874
## sample estimates:
## cor
## 0.002501165
cor.test(msdlabs$HOUSEHOLD, msdlabs$DEPRESS)
##
## Pearson's product-moment correlation
##
## data: msdlabs$HOUSEHOLD and msdlabs$DEPRESS
## t = -0.878, df = 1554, p-value = 0.3801
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.07188150 0.02745746
## sample estimates:
## cor
## -0.02226698
cor.test(msdlabs$HOUSEHOLD, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$HOUSEHOLD and msdlabs$FIGHTING
## t = -4.7549, df = 1554, p-value = 2.169e-06
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.16844353 -0.07047721
## sample estimates:
## cor
## -0.1197519
cor.test(msdlabs$SCHLBELONG, msdlabs$SELFCONCEPT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SCHLBELONG and msdlabs$SELFCONCEPT
## t = 15.541, df = 1554, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3229460 0.4089941
## sample estimates:
## cor
## 0.3667542
cor.test(msdlabs$SCHLBELONG, msdlabs$FAMCONNECT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SCHLBELONG and msdlabs$FAMCONNECT
## t = 12.045, df = 1554, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.2460825 0.3370037
## sample estimates:
## cor
## 0.2922032
cor.test(msdlabs$SCHLBELONG, msdlabs$DEPRESS)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SCHLBELONG and msdlabs$DEPRESS
## t = -4.7959, df = 1554, p-value = 1.774e-06
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.16944661 -0.07150456
## sample estimates:
## cor
## -0.1207695
cor.test(msdlabs$SCHLBELONG, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SCHLBELONG and msdlabs$FIGHTING
## t = -5.8657, df = 1554, p-value = 5.454e-09
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.19544201 -0.09820156
## sample estimates:
## cor
## -0.1471774
cor.test(msdlabs$SELFCONCEPT, msdlabs$FAMCONNECT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SELFCONCEPT and msdlabs$FAMCONNECT
## t = 23.038, df = 1554, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.4665749 0.5407063
## sample estimates:
## cor
## 0.50457
cor.test(msdlabs$SELFCONCEPT, msdlabs$DEPRESS)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SELFCONCEPT and msdlabs$DEPRESS
## t = -6.815, df = 1554, p-value = 1.344e-11
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2181994 -0.1216886
## sample estimates:
## cor
## -0.1703525
cor.test(msdlabs$SELFCONCEPT, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SELFCONCEPT and msdlabs$FIGHTING
## t = -4.3727, df = 1554, p-value = 1.309e-05
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.15906983 -0.06088678
## sample estimates:
## cor
## -0.1102473
cor.test(msdlabs$SELFCONCEPT, msdlabs$FAMCONNECT)
##
## Pearson's product-moment correlation
##
## data: msdlabs$SELFCONCEPT and msdlabs$FAMCONNECT
## t = 23.038, df = 1554, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.4665749 0.5407063
## sample estimates:
## cor
## 0.50457
cor.test(msdlabs$FAMCONNECT, msdlabs$DEPRESS)
##
## Pearson's product-moment correlation
##
## data: msdlabs$FAMCONNECT and msdlabs$DEPRESS
## t = -5.9101, df = 1554, p-value = 4.193e-09
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.19651329 -0.09930476
## sample estimates:
## cor
## -0.1482671
cor.test(msdlabs$FAMCONNECT, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$FAMCONNECT and msdlabs$FIGHTING
## t = -4.5922, df = 1554, p-value = 4.741e-06
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.16445660 -0.06639588
## sample estimates:
## cor
## -0.1157082
cor.test(msdlabs$DEPRESS, msdlabs$FIGHTING)
##
## Pearson's product-moment correlation
##
## data: msdlabs$DEPRESS and msdlabs$FIGHTING
## t = 8.1107, df = 1554, p-value = 1.011e-15
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1533685 0.2487297
## sample estimates:
## cor
## 0.2015266