Stata 18 introduced framesets (file extension `.dtas`) that contain zipped `dta` files. This helper functions imports those files and returns a list of data.frames.
Arguments
- path
path to .dtas file
- select.frames
character vector
- read.dta13.options
list of parameters used in
read.dta13. The list must have the following structure:list(framename = list(param = value))
Examples
path <- system.file("extdata", "myproject2.dtas", package="readstata13")
# read all frames in myproject2.dtas
read.dtas(path)
#> Warning: File contains unhandled alias variable in column: 5
#> $persons
#> personid countyid income counties median ratio
#> 1 1 5 30818 5 0.7038001
#> 2 2 3 30752 3 0.4225046
#> 3 3 2 29673 2 0.5230381
#> 4 4 3 32115 3 0.4412310
#> 5 5 2 31189 2 0.5497603
#> 6 6 1 30992 1 0.6725256
#> 7 7 3 34328 3 0.4716356
#> 8 8 3 31508 3 0.4328914
#> 9 9 5 26071 5 0.5953915
#> 10 10 5 29768 5 0.6798210
#> 11 11 2 34757 2 0.6126525
#> 12 12 3 25630 3 0.3521330
#> 13 13 1 29146 1 0.6324675
#> 14 14 5 25752 5 0.5881063
#> 15 15 1 26806 1 0.5816895
#> 16 16 2 34368 2 0.6057957
#> 17 17 3 26914 3 0.3697740
#> 18 18 2 25886 2 0.4562857
#> 19 19 1 29321 1 0.6362650
#> 20 20 5 29571 5 0.6753220
#>
#> $counties
#> countyid median_income
#> 1 Brazos 46083
#> 2 Dallas 56732
#> 3 Travis 72785
#> 4 Harris 58664
#> 5 Potter 43788
#> 6 El Paso 44120
#> 7 Bowie 49153
#> 8 Galveston 69674
#>
# read selected frames
read.dtas(path, select.frames = c("persons", "counties"))
#> Warning: File contains unhandled alias variable in column: 5
#> $persons
#> personid countyid income counties median ratio
#> 1 1 5 30818 5 0.7038001
#> 2 2 3 30752 3 0.4225046
#> 3 3 2 29673 2 0.5230381
#> 4 4 3 32115 3 0.4412310
#> 5 5 2 31189 2 0.5497603
#> 6 6 1 30992 1 0.6725256
#> 7 7 3 34328 3 0.4716356
#> 8 8 3 31508 3 0.4328914
#> 9 9 5 26071 5 0.5953915
#> 10 10 5 29768 5 0.6798210
#> 11 11 2 34757 2 0.6126525
#> 12 12 3 25630 3 0.3521330
#> 13 13 1 29146 1 0.6324675
#> 14 14 5 25752 5 0.5881063
#> 15 15 1 26806 1 0.5816895
#> 16 16 2 34368 2 0.6057957
#> 17 17 3 26914 3 0.3697740
#> 18 18 2 25886 2 0.4562857
#> 19 19 1 29321 1 0.6362650
#> 20 20 5 29571 5 0.6753220
#>
#> $counties
#> countyid median_income
#> 1 Brazos 46083
#> 2 Dallas 56732
#> 3 Travis 72785
#> 4 Harris 58664
#> 5 Potter 43788
#> 6 El Paso 44120
#> 7 Bowie 49153
#> 8 Galveston 69674
#>
# read only frame counties
read.dtas(path, select.frames = c("counties"))
#> $counties
#> countyid median_income
#> 1 Brazos 46083
#> 2 Dallas 56732
#> 3 Travis 72785
#> 4 Harris 58664
#> 5 Potter 43788
#> 6 El Paso 44120
#> 7 Bowie 49153
#> 8 Galveston 69674
#>
# read frames with different arguments
read.dtas(path,
read.dta13.options = list(counties = list(select.cols = "median_income"),
persons = list(select.cols = "income")))
#> $persons
#> income
#> 1 30818
#> 2 30752
#> 3 29673
#> 4 32115
#> 5 31189
#> 6 30992
#> 7 34328
#> 8 31508
#> 9 26071
#> 10 29768
#> 11 34757
#> 12 25630
#> 13 29146
#> 14 25752
#> 15 26806
#> 16 34368
#> 17 26914
#> 18 25886
#> 19 29321
#> 20 29571
#>
#> $counties
#> median_income
#> 1 46083
#> 2 56732
#> 3 72785
#> 4 58664
#> 5 43788
#> 6 44120
#> 7 49153
#> 8 69674
#>