Import surveys into a list or several .rds
files.
Usage
read_surveys(survey_paths, .f = NULL, export_path = NULL)
read_survey(file_path, .f = NULL, export_path = NULL)
Arguments
- survey_paths
A vector of (full) file paths that contain the surveys to import.
- .f
A function to import the surveys with. Defaults to
'NULL'
, in this case files with an extension of'.sav'
and'.por'
will call caseread_spss
, files with an extension of'.dta'
will callread_dta
,rds
will callread_rds
and'.csv'
read_csv
.- export_path
Defaults to
NULL
, in this case the read surveys are imported into a single list of surveys in memory. Ifexport_path
is a valid directory, it will instead save each survey an R object with[base]saveRDS
.
Value
A list of the surveys or a vector of the saved file names.
Each element of the list is a data
frame-like survey
type object where some metadata,
such as the original file name, doi identifier if present, and other
information is recorded for a reproducible workflow.
Details
Use read_survey
for a single survey and read_surveys
for several surveys in
in a loop. The function handle exceptions with wrong file names and not readable
files. If a file cannot be read, a message is printed, and empty survey is added to the
the list in the place of this file.
See also
survey
Other import functions:
pull_survey()
,
read_csv()
,
read_dta()
,
read_rds()
,
read_spss()
Examples
file1 <- system.file(
"examples", "ZA7576.rds", package = "retroharmonize")
file2 <- system.file(
"examples", "ZA5913.rds", package = "retroharmonize")
read_surveys (c(file1,file2), .f = 'read_rds' )
#> [[1]]
#> # A tibble: 45 × 55
#> rowid doi version uniqid caseid serialid isocntry p1 p2 p3
#> * <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr> <dbl+lbl> <dbl+l> <dbl>
#> 1 ZA757… doi:1… 1.0.0 … 5.00e7 481 3209 ES 4 [Mond… 3 [13 … 25
#> 2 ZA757… doi:1… 1.0.0 … 1.10e8 76 8706 NL 6 [Wedn… 3 [13 … 58
#> 3 ZA757… doi:1… 1.0.0 … 1.10e8 343 8890 NL 11 [Mond… 3 [13 … 56
#> 4 ZA757… doi:1… 1.0.0 … 1.10e8 473 8989 NL 5 [Tues… 3 [13 … 62
#> 5 ZA757… doi:1… 1.0.0 … 1.10e8 493 9001 NL 8 [Frid… 4 [17 … 30
#> 6 ZA757… doi:1… 1.0.0 … 1.10e8 897 9272 NL 6 [Wedn… 3 [13 … 56
#> 7 ZA757… doi:1… 1.0.0 … 1.10e8 1041 9379 NL 5 [Tues… 3 [13 … 57
#> 8 ZA757… doi:1… 1.0.0 … 1.10e8 1192 9493 NL 6 [Wedn… 2 [8 -… 60
#> 9 ZA757… doi:1… 1.0.0 … 1.10e8 1274 9543 NL 7 [Thur… 4 [17 … 57
#> 10 ZA757… doi:1… 1.0.0 … 1.10e8 1344 9590 NL 6 [Wedn… 2 [8 -… 83
#> # … with 35 more rows, and 45 more variables: p4 <dbl+lbl>, nuts <chr+lbl>,
#> # d7 <dbl+lbl>, d8 <dbl+lbl>, d25 <dbl+lbl>, d60 <dbl+lbl>, qa14_5 <dbl+lbl>,
#> # qa14_3 <dbl+lbl>, qa14_2 <dbl+lbl>, qa14_4 <dbl+lbl>, qa14_1 <dbl+lbl>,
#> # qa6a_5 <dbl+lbl>, qa6a_10 <dbl+lbl>, qa6b_2 <dbl+lbl>, qa6a_3 <dbl+lbl>,
#> # qa6a_1 <dbl+lbl>, qa6b_4 <dbl+lbl>, qa6a_8 <dbl+lbl>, qa6a_9 <dbl+lbl>,
#> # qa6a_4 <dbl+lbl>, qa6a_2 <dbl+lbl>, qa6b_1 <dbl+lbl>, qa6a_6 <dbl+lbl>,
#> # qa6a_7 <dbl+lbl>, qa6a_11 <dbl+lbl>, qa6b_3 <dbl+lbl>, qd6.1 <dbl+lbl>, …
#>
#> [[2]]
#> # A tibble: 35 × 37
#> rowid doi version uniqid isocntry p1 p3 p4 nuts
#> * <chr> <chr> <chr> <dbl> <chr> <dbl+lb> <dbl> <dbl+lb> <chr+lbl>
#> 1 ZA5913_1 doi:1… 2.0.0 (… 1.13e7 NL 8 [Tue… 27 1 [Two … NL21 [Ove…
#> 2 ZA5913_2 doi:1… 2.0.0 (… 1.13e7 NL 8 [Tue… 31 1 [Two … NL33 [Zui…
#> 3 ZA5913_3 doi:1… 2.0.0 (… 1.13e7 NL 10 [Thu… 26 1 [Two … NL32 [Noo…
#> 4 ZA5913_4 doi:1… 2.0.0 (… 1.13e7 NL 14 [Mon… 23 1 [Two … NL22 [Gel…
#> 5 ZA5913_5 doi:1… 2.0.0 (… 1.13e7 NL 10 [Thu… 31 2 [Thre… NL33 [Zui…
#> 6 ZA5913_6 doi:1… 2.0.0 (… 1.13e7 NL 8 [Tue… 33 1 [Two … NL41 [Noo…
#> 7 ZA5913_7 doi:1… 2.0.0 (… 1.13e7 NL 10 [Thu… 21 1 [Two … NL13 [Dre…
#> 8 ZA5913_8 doi:1… 2.0.0 (… 1.13e7 NL 10 [Thu… 44 1 [Two … NL13 [Dre…
#> 9 ZA5913_9 doi:1… 2.0.0 (… 1.13e7 NL 5 [Sat… 19 1 [Two … NL34 [Zee…
#> 10 ZA5913_10 doi:1… 2.0.0 (… 1.13e7 NL 14 [Mon… 22 1 [Two … NL22 [Gel…
#> # … with 25 more rows, and 28 more variables: d7 <dbl+lbl>, d8 <dbl+lbl>,
#> # d25 <dbl+lbl>, d60 <dbl+lbl>, qa10_3 <dbl+lbl>, qa10_2 <dbl+lbl>,
#> # qa10_1 <dbl+lbl>, qa7_4 <dbl+lbl>, qa7_2 <dbl+lbl>, qa7_3 <dbl+lbl>,
#> # qa7_1 <dbl+lbl>, qa7_5 <dbl+lbl>, qd3_1 <dbl+lbl>, qd3_2 <dbl+lbl>,
#> # qd3_3 <dbl+lbl>, qd3_4 <dbl+lbl>, qd3_5 <dbl+lbl>, qd3_6 <dbl+lbl>,
#> # qd3_7 <dbl+lbl>, qd3_8 <dbl+lbl>, qd3_9 <dbl+lbl>, qd3_10 <dbl+lbl>,
#> # qd3_11 <dbl+lbl>, qd3_12 <dbl+lbl>, qd3_13 <dbl+lbl>, qd3_14 <dbl+lbl>, …
#>