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This package provides a Stata-style webuse() function
for importing named datasets from Stata’s online collection.
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")
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 0webuse("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 33.1The 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"These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.