jmvReadWrite (version 0.4.10)

describe_omv: Adds a title and a description for a data set stored as .omv-file for the statistical spreadsheet 'jamovi' (https://www.jamovi.org)

Description

Adds a title and a description for a data set stored as .omv-file for the statistical spreadsheet 'jamovi' (https://www.jamovi.org)

Usage

describe_omv(
  dtaInp = NULL,
  fleOut = "",
  dtaTtl = c(),
  dtaDsc = c(),
  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

dtaTtl

Character vector with a title to be added to the data set (see Details; default: "")

dtaDsc

Description of the data set, either as character vector (HTML-formatted) or as named list with the entries "description", "variables", "references", and "license" (see Details; default: "")

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

• The aim of this function is to add a title and a data set description to jamovi data files. Two typical use cases would be (1) to help creating data sets to be used in teaching (i.e., either creating or using data sets in R, and afterwards adding a description to those), and (2) to provide ”properly described“ data when publishing in a repository such as the OSF).

• NB: The data set should not contain any existing analyses. These will be overwritten (a warning is issued informing you about that).

• dtaTtl is a title for the dataset (at the top of the results output, i.e., that title which initially is “Results” when you create a new data set in jamovi).

• dtaDsc can either be a character vector (with length = 1) containing HTML-formatted text that describes the data set (see chrDsc in the examples for HTML tags that are currently implemented; putting “unformatted” text is not a problem, but then the result is just plain text without formatting). Alternatively, dtaDcs can be a named list with the entries description, variables, references, license. All entries except from variables contain character vectors (length = 1); variables shall be a named list with the variable name as name and a description what the variable contains as entry. description and variables must be given, references and license can be left blank (""; but the names must be present in the list). An example for both a named list with a description (lstDsc), as well as a character vector with all HTML tags that are implemented (chrDsc) can be found in the examples below.

• 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

describe_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) {
dtaFrm <- jmvReadWrite::ToothGrowth[, c("len", "supp", "dose")]
nmeOut <- tempfile(fileext = ".omv")

# the paste's underneath are only for readability (without them, the vignettes are misformatted)
lstDsc <- list(description = paste("The response is the length of odontoblasts (cells responsible",
                                   "for tooth growth) in 60 guinea pigs. Each animal received one",
                                   "of three dose levels of vitamin C (0.5, 1, and 2 mg / day) by",
                                   "one of two delivery methods, orange juice or ascorbic acid (a",
                                   "form of vitamin C and coded as VC)."),
               variables = list(len  = "Tooth length",
                                supp = "Supplement type (VC or OJ)",
                                dose = "Dose (in milligrams / day"),
               references = paste("Crampton, E. W. (1947). The growth of the odontoblast of the",
                                  "incisor teeth as a criterion of vitamin C intake of the guinea",
                                  "pig. The Journal of Nutrition, 33(5), 491-504.",
                                  "https://doi.org/10.1093/jn/33.5.491"),
               license = "")
jmvReadWrite::describe_omv(dtaInp = dtaFrm, fleOut = nmeOut, dtaTtl = "ToothGrowth",
  dtaDsc = lstDsc)
# don't include the unlink, if you copy the code and want to look at the resulting output file
unlink(nmeOut)

# the code underneath should cover all formatting options jamovi is able to use (paste0 is only
# for readability)
chrDsc <- paste0("Trial – all formattings:bold",
                 "bold, italicsitalicsunderlined",
                 "link:https://",
                 "jamovi.orgstrikethroughC2H5",
                 "OHR2background ",
                 "colour: redforeground color: red",
                 "centered",
                 "rightjustify justify justify justify justify ",
                 "justify justify justify justify justify justify justify justify justify justify ",
                 "justify justify justify justify justify justify justify justify justify justify",
                 "numbered listnumbered list",
                 "bullet pointbullet point",
                 "indented onceindented twiceindented onceFormula: ",
                 "e=mc^2Preformattednormal againHeading")
jmvReadWrite::describe_omv(dtaInp = dtaFrm, fleOut = nmeOut, dtaTtl = "ToothGrowth",
  dtaDsc = chrDsc)
unlink(nmeOut)
}