jmvReadWrite (version 0.4.10)

arrange_cols_omv: Re-arrange columns / variables in .omv-files for the statistical spreadsheet 'jamovi' (https://www.jamovi.org)

Description

Re-arrange columns / variables in .omv-files for the statistical spreadsheet 'jamovi' (https://www.jamovi.org)

Usage

arrange_cols_omv(
  dtaInp = NULL,
  fleOut = "",
  varOrd = c(),
  varMve = list(),
  psvAnl = FALSE,
  usePkg = c("foreign", "haven"),
  selSet = "",
  ...
)

Value

a data frame (only returned if fleOut is empty) where the order of variables / columns of the input data set is re-arranged

Arguments

dtaInp

Either a data frame or the name of a data file to be read (including the path, if required; "FILENAME.ext"; default: NULL); files can be of any supported file type, see Details below

fleOut

Name of the data file to be written (including the path, if required; "FILE_OUT.omv"; default: ""); if empty, the resulting data frame is returned instead

varOrd

Character vector with the desired order of variable(s) in the data frame (see Details; default: c())

varMve

Named list defining to how much a particular variable (name of a list entry) should be moved up (neg. value of a list entry) or down (pos. value) in the data frame (see Details; default: c())

psvAnl

Whether analyses that are contained in the input file shall be transferred to the output file (default: FALSE)

usePkg

Name of the package: "foreign" or "haven" that shall be used to read SPSS, Stata and SAS files; "foreign" is the default (it comes with base R), but "haven" is newer and more comprehensive

selSet

Name of the data set that is to be selected from the workspace (only applies when reading .RData-files)

...

Additional arguments passed on to methods; see Details below

Details

• varOrd is a character vector. If not all variables of the original data set are contained in varOrd, a warning is issued but otherwise the list of variables defined in varOrd is used (removing variables not contained in varOrd).

• varMve is a named list. For example would list(VARNAME = -3) move the variable VARNAME three positions up in the list of variables (towards the first column), and list(VARNAME = 3) would move it three positions down (towards the last column). If the number of steps the variable is to be moved leads to the position being either lower than the first or higher than the total number of variables in the data set, an error message is issued. Please note that the list entries are processed one after another, that is, for a second list entry, you have to consider how the first list entry may have changed to order of variables.

• Using varOrd makes more sense for changing the position of several variables, whereas using varMve makes more sense for one variable. If both parameters are given, a warning is issued and varOrd takes precedence.

• The ellipsis-parameter (...) can be used to submit arguments / parameters to the functions that are used for reading and writing the data. By clicking on the respective function under “See also”, you can get a more detailed overview over which parameters each of those functions take. The functions are: read_omv and write_omv (for jamovi-files), read.table (for CSV / TSV files; using similar defaults as read.csv for CSV and read.delim for TSV which both are based upon read.table), load (for .RData-files), readRDS (for .rds-files), read_sav (needs the R-package haven) or read.spss (needs the R-package foreign) for SPSS-files, read_dta (haven) / read.dta (foreign) for Stata-files, read_sas (haven) for SAS-data-files, and read_xpt (haven) / read.xport (foreign) for SAS-transport-files. If you would like to use haven, you may need to install it using install.packages("haven", dep = TRUE).

See Also

arrange_cols_omv internally uses the following functions for reading and writing data files in different formats: read_omv() and write_omv() for jamovi-files, utils::read.table() for CSV / TSV files, load() for reading .RData-files, readRDS() for .rds-files, haven::read_sav() or foreign::read.spss() for SPSS-files, haven::read_dta() or foreign::read.dta() for Stata-files, haven::read_sas() for SAS-data-files, and haven::read_xpt() or foreign::read.xport() for SAS-transport-files.

Examples

if (FALSE) {
nmeInp <- system.file("extdata", "AlbumSales.omv", package = "jmvReadWrite")
nmeOut <- tempfile(fileext = ".omv")
# the original file has the variables in the order: "Adverts", "Airplay", "Image", "Sales"
names(read_omv(nmeInp))
# first, we move the variable "Sales" to the first place using the varOrd-parameter
jmvReadWrite::arrange_cols_omv(dtaInp = nmeInp, fleOut = nmeOut,
  varOrd = c("Sales", "Adverts", "Airplay", "Image"))
names(jmvReadWrite::read_omv(nmeOut))
unlink(nmeOut)
# now, we move the variable "Sales" to the first place using the varMve-parameter
jmvReadWrite::arrange_cols_omv(dtaInp = nmeInp, fleOut = nmeOut, varMve = list(Sales = -3))
names(jmvReadWrite::read_omv(nmeOut))
unlink(nmeOut)
}