Import Stata 'webuse' Datasets
This package provides a Stata-style webuse()
function for importing named datasets from Stata's online collection.
Package Installation
This package can be installed from R using install.packages("webuse")
or from GitHub using remotes:
if(!require("remotes")){
install.packages("remotes")
}
remotes::install_github("leeper/webuse")
Code Examples
Functionality is simple. Load webuse and then access any online Stata dataset using the webuse()
function. This will assign the named dataset from Stata 15 to the .GlobalEnv
:
library("webuse")
webuse("auto")
head(auto)
As an option, you can specify the Stata version of the dataset and the environment via version and envir parameters:
library("webuse")
webuse("auto", version = 15, envir = parent.frame())
head(auto)
## # A tibble: 6 x 12
## make price mpg rep78 headroom trunk weight length turn displacement gear_ratio foreign
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl+lb>
## 1 AMC Concord 4099. 22. 3. 2.50 11. 2930. 186. 40. 121. 3.58 0
## 2 AMC Pacer 4749. 17. 3. 3.00 11. 3350. 173. 40. 258. 2.53 0
## 3 AMC Spirit 3799. 22. NA 3.00 12. 2640. 168. 35. 121. 3.08 0
## 4 Buick Cent~ 4816. 20. 3. 4.50 16. 3250. 196. 40. 196. 2.93 0
## 5 Buick Elec~ 7827. 15. 4. 4.00 20. 4080. 222. 43. 350. 2.41 0
## 6 Buick LeSa~ 5788. 18. 3. 4.00 21. 3670. 218. 43. 231. 2.73 0
webuse("uslifeexp")
head(uslifeexp)
## # A tibble: 6 x 10
## year le le_male le_female le_w le_wmale le_wfemale le_b le_bmale le_bfemale
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 1900. 47.3 46.3 48.3 47.6 46.6 48.7 33.0 32.5 33.5
## 2 1901. 49.1 47.6 50.6 49.4 48.0 51.0 33.7 32.2 35.3
## 3 1902. 51.5 49.8 53.4 51.9 50.2 53.8 34.6 32.9 36.4
## 4 1903. 50.5 49.1 52.0 50.9 49.5 52.5 33.1 31.7 34.6
## 5 1904. 47.6 46.2 49.1 48.0 46.6 49.5 30.8 29.1 32.7
## 6 1905. 48.7 47.3 50.2 49.1 47.6 50.6 31.3 29.6 33.1
The webuselist
object contains a list of "core" Stata datasets:
str(webuselist)
## List of 26
## $ auto : chr "1978 Automobile Data"
## $ auto2 : chr "1978 Automobile Data"
## $ autornd : chr "Subset of 1978 Automobile Data"
## $ bplong : chr "fictional blood pressure data"
## $ bpwide : chr "fictional blood pressure data"
## $ cancer : chr "Patient Survival in Drug Trial"
## $ census : chr "1980 Census data by state"
## $ citytemp : chr "City Temperature Data"
## $ citytemp4 : chr "City Temperature Data"
## $ educ99gdp : chr "Education and GDP"
## $ gnp96 : chr "U.S. GNP, 1967-2002"
## $ lifeexp : chr "Life expectancy, 1998"
## $ network1 : chr "fictional network diagram data"
## $ network1a : chr "fictional network diagram data"
## $ nlsw88 : chr "U.S. National Longitudinal Study of Young Women (NLSW, 1988 extract)"
## $ nlswide1 : chr "U.S. National Longitudinal Study of Young Women (NLSW, 1988 extract)"
## $ pop2000 : chr "U.S. Census, 2000, extract"
## $ sandstone : chr "Subsea elevation of Lamont sandstone in an area of Ohio"
## $ sp500 : chr "S&P 500"
## $ surface : chr "NOAA Sea Surface Temperature"
## $ tsline1 : chr "simulated time-series data"
## $ tsline2 : chr "fictional data on calories consumed"
## $ uslifeexp : chr "U.S. life expectancy, 1900-1999"
## $ uslifeexp2: chr "U.S. life expectancy, 1900-1940"
## $ voter : chr "1992 presidential voter data"
## $ xtline1 : chr "fictional data on calories consumed"