cidata is a data package for R that includes 4 data sets used in Causal
Inference by Hernán and Robins: nhefs, a cleaned version of NHEFS
data, nhefs_complete, a complete case version of nhefs,
nhefs_codebook, the codebook for NHEFS, and greek_data, the data
from Table 2.2 used in Chapter 13.
You can install cidata from GitHub with:
remotes::install_github("malcolmbarrett/cidata") cidata loads a cleaned version of the NHEFS data used in Causal
Inference, nhefs. There is also a complete case version,
nhefs_complete, and a codebook for the variables in NHEFS,
nhefs_codebook.
library(cidata)
nhefs
#> # A tibble: 1,629 x 67
#> seqn qsmk death yrdth modth dadth sbp dbp sex age race income
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <fct> <dbl> <fct> <dbl>
#> 1 233 0 0 NA NA NA 175 96 0 42 1 19
#> 2 235 0 0 NA NA NA 123 80 0 36 0 18
#> 3 244 0 0 NA NA NA 115 75 1 56 1 15
#> 4 245 0 1 85 2 14 148 78 0 68 1 15
#> 5 252 0 0 NA NA NA 118 77 0 40 0 18
#> 6 257 0 0 NA NA NA 141 83 1 43 1 11
#> 7 262 0 0 NA NA NA 132 69 1 56 0 19
#> 8 266 0 0 NA NA NA 100 53 1 29 0 22
#> 9 419 0 1 84 10 13 163 79 0 51 0 18
#> 10 420 0 1 86 10 17 184 106 0 43 0 16
#> # … with 1,619 more rows, and 55 more variables: marital <dbl>,
#> # school <dbl>, education <fct>, ht <dbl>, wt71 <dbl>, wt82 <dbl>,
#> # wt82_71 <dbl>, birthplace <dbl>, smokeintensity <dbl>,
#> # smkintensity82_71 <dbl>, smokeyrs <dbl>, asthma <dbl>, bronch <dbl>,
#> # tb <dbl>, hf <dbl>, hbp <dbl>, pepticulcer <dbl>, colitis <dbl>,
#> # hepatitis <dbl>, chroniccough <dbl>, hayfever <dbl>, diabetes <dbl>,
#> # polio <dbl>, tumor <dbl>, nervousbreak <dbl>, alcoholpy <dbl>,
#> # alcoholfreq <dbl>, alcoholtype <dbl>, alcoholhowmuch <dbl>,
#> # pica <dbl>, headache <dbl>, otherpain <dbl>, weakheart <dbl>,
#> # allergies <dbl>, nerves <dbl>, lackpep <dbl>, hbpmed <dbl>,
#> # boweltrouble <dbl>, wtloss <dbl>, infection <dbl>, active <fct>,
#> # exercise <fct>, birthcontrol <dbl>, pregnancies <dbl>,
#> # cholesterol <dbl>, hightax82 <dbl>, price71 <dbl>, price82 <dbl>,
#> # tax71 <dbl>, tax82 <dbl>, price71_82 <dbl>, tax71_82 <dbl>, id <int>,
#> # censored <dbl>, older <dbl>cidata also loads the data in Table 2.2 of Causal Inference, which is used as an example in Chapter 13.
greek_data
#> # A tibble: 20 x 4
#> name l a y
#> <chr> <dbl> <dbl> <dbl>
#> 1 Rheia 0 0 0
#> 2 Kronos 0 0 1
#> 3 Demeter 0 0 0
#> 4 Hades 0 0 0
#> 5 Hestia 0 1 0
#> 6 Poseidon 0 1 0
#> 7 Hera 0 1 0
#> 8 Zeus 0 1 1
#> 9 Artemis 1 0 1
#> 10 Apollo 1 0 1
#> 11 Leto 1 0 0
#> 12 Ares 1 1 1
#> 13 Athena 1 1 1
#> 14 Hephaestus 1 1 1
#> 15 Aphrodite 1 1 1
#> 16 Cyclope 1 1 1
#> 17 Persephone 1 1 1
#> 18 Hermes 1 1 0
#> 19 Hebe 1 1 0
#> 20 Dionysus 1 1 0
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