Read all .sas7bdat
files in a directory. Formats can be applied from a procformat.sas
SAS file, from a .
Usage
read_all_sas(
path,
...,
format_file = "procformat.sas",
clean_names_fun = NULL,
subdirectories = FALSE,
datetime_extraction = "guess",
verbose = getOption("edc_read_verbose", 1)
)
Arguments
- path
[
character(1)
]
the path to the directory containing all.sas7bdat
files.- ...
unused
- format_file
[
character(1)
]
the path to the file that should be used to apply formats. See section "Format file" below. UseNULL
to not apply formats.- clean_names_fun
use
edc_clean_names()
instead.- subdirectories
[
logical(1)
]
whether to read subdirectories- datetime_extraction
[
POSIXt(1)
]
the datetime of the data extraction. Default to the most common date of last modification inpath
.- verbose
[
numeric(1)
]
one ofc(0, 1, 2)
. The higher, the more information will be printed.
Value
a list containing one dataframe for each .xpt
file in the folder, the extraction date (datetime_extraction
), and a summary of all imported tables (.lookup
).
Format file
format_file
should contain the information about SAS formats. It can be either:
a
procformat.sas
file, containing the whole PROC FORMATor a data file (.csv or .sas7bdat) containing 3 columns:
FMTNAME
the SAS format name (repeated)START
the variable levelLABEL
the label associated to the level
You can get this datafile from SAS using
PROC FORMAT
with optionCNTLOUT
. Otherwise, you can useoptions(edc_var_format_name="xxx", edc_var_level="xxx", edc_var_label="xxx")
to specify different column names.
See also
Other EDCimport reading functions:
read_all_csv()
,
read_all_xpt()
,
read_trialmaster()
Examples
# Create a directory with multiple csv files.
path = paste0(tempdir(), "/read_all_sas")
dir.create(paste0(path, "/subdir"), recursive=TRUE)
haven::write_sas(attenu, paste0(path, "/attenu.sas7bdat"))
#> Warning: `write_sas()` was deprecated in haven 2.5.2.
#> ℹ Please use `write_xpt()` instead.
haven::write_sas(mtcars, paste0(path, "/mtcars.sas7bdat"))
haven::write_sas(mtcars, paste0(path, "/subdir/mtcars.sas7bdat"))
haven::write_sas(esoph, paste0(path, "/esoph.sas7bdat"))
db = read_all_sas(path, format_file=NULL, subdirectories=TRUE) %>%
set_project_name("My great project")
#> Warning: Option "edc_lookup" has been overwritten.
db
#> ── EDCimport database ──────────────────────────────────────────────────────────
#> Contains 4 tables: `attenu`, `esoph`, `mtcars`, and `subdir_mtcars`
#> ℹ Use `EDCimport::load_database(db)` to load the tables in the global
#> environment.
#> ℹ Use `EDCimport::edc_lookup()` to see the summary table.
edc_lookup()
#> ── Lookup table - My great project (extraction of 2025-02-19) - EDCimport v0.5.2
#> dataset nrow ncol n_id rows_per_id crfname
#> <chr> <dbl> <dbl> <int> <dbl> <chr>
#> 1 attenu 182 5 0 NA NA
#> 2 esoph 88 5 0 NA NA
#> 3 mtcars 32 11 0 NA NA
#> 4 subdir_mtcars 32 11 0 NA NA