This package contains R functions corresponding to useful Stata commands.
The package includes: - data.frame functions (summarize, tabulate, merge) - panel data functions (monthly/quarterly dates, lead/lag, fillin) - vector functions (xtile, pctile, winsorize) - graph functions (binscatter)
Some examples:
library(dplyr)
library(statar)
starwars %>% sum_up(height)
#Variable │ Obs Missing Mean StdDev Min Max
#─────────┼───────────────────────────────────────────────────────
# height │ 81 6 174.358 34.7704 66 264
starwars %>% group_by(gender) %>% sum_up(height)
#> gender │ Variable │ Obs Missing Mean StdDev Min Max
#>─────────┼──────────┼───────────────────────────────────────────────────────
#> female │ height │ 17 2 165.471 23.0302 96 213
#>---------┼----------┼-------------------------------------------------------
#>hermap~e │ height │ 1 0 175 NA 175 175
#>---------┼----------┼-------------------------------------------------------
#> male │ height │ 59 3 179.237 35.3916 66 264
#>---------┼----------┼-------------------------------------------------------
#> none │ height │ 1 1 200 NA 200 200
#>---------┼----------┼-------------------------------------------------------
#> NA │ height │ 3 0 120 40.7063 96 167
starwars %>% tab(gender, eye_color)
#> gender │ eye_color │ Freq. Percent Cum.
#>──────────────┼───────────────┼────────────────────────────
#> female │ black │ 2 2.30 2.30
#> female │ blue │ 6 6.90 9.20
#> female │ brown │ 5 5.75 14.94
#> female │ hazel │ 2 2.30 17.24
#> female │ red, blue │ 1 1.15 18.39
#> female │ unknown │ 1 1.15 19.54
#> female │ white │ 1 1.15 20.69
#> female │ yellow │ 1 1.15 21.84
#>--------------┼---------------┼----------------------------
#>hermaphrodite │ orange │ 1 1.15 22.99
#>--------------┼---------------┼----------------------------
#> male │ black │ 7 8.05 31.03
#> male │ blue │ 13 14.94 45.98
#> male │ blue-gray │ 1 1.15 47.13
#> male │ brown │ 16 18.39 65.52
#> male │ dark │ 1 1.15 66.67
#> male │ gold │ 1 1.15 67.82
#> male │ green, yellow │ 1 1.15 68.97
#> male │ hazel │ 1 1.15 70.11
#> male │ orange │ 7 8.05 78.16
#> male │ pink │ 1 1.15 79.31
#> male │ red │ 2 2.30 81.61
#> male │ unknown │ 2 2.30 83.91
#> male │ yellow │ 9 10.34 94.25
#>--------------┼---------------┼----------------------------
#> none │ black │ 1 1.15 95.40
#> none │ red │ 1 1.15 96.55
#>--------------┼---------------┼----------------------------
#> NA │ red │ 2 2.30 98.85
#> NA │ yellow │ 1 1.15 100.00 You can install