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distances_omv: calculate a wide range of distance
measures (either between variables or between units of observation) on
standardized or the original datatransform_vars_omv: apply transformations -
calculating the square root, the logarithm to the base 10 or an
inversion - to make variables (better) conform to a normal contribution
(incl. unit tests)read_omv and write_omv
to better handle variable labelsrhubreplace_omv,
wide2long_omv, and jmvAttdataType attribute is preserved /
honoured by write_omv (earlier on, the data type of a
variable / column was determined by a logic and my have changed the
class of this column)write_omv when
columns where completely empty (i.e., if they contained only NAs;
incl. the respective unit tests)long2wide_omv so that it to handle (omit) NAs
when aggregating values (incl. unit tests)var_labels_omv (assign labels to variables in a
data set; including unit tests, and files for the tests and the
examples)sapply with vapply or
lapply (in accordance with goodpractice)rplAtt (replace
non-UTF with UTF characters, part of read_omv)invisible(NULL)where NULL or nothing was
returnedstrsplit in long2wide_omv and
wide2long_omv in order to permit having “.” as varSepcodemeta.json, badge about package status, and
how to contribute to the package (for pkgcheck)convert_to_omvvarID in
merge_cols_omvreplace_omvlibrary(jmvReadWrite)replace_omv (replacement in
character columns)wide2long_omv in order to accept
NULL for varIDjmv is not presentdescribe_omv (put a title and a description at
the top of a data set), search_omv (finding values in a
data set) and replace_omv (replacing values in a data set
with other values)Rj, a new jamovi session is opened with the
data set that was modified by one of the helper functions)jmv-syntax in the data sets, but with the
perspective of creating analyses from jmv-syntax)index.html (generated when
writing data set with write_omv to be in line with more
recent versions of jamovi)dataType and measureType
attributes to a data frame when write_omv is called from
within jamovi (while ensuring not to overwrite existing
measureType / dataType attributes)jmv-id-status for ID-variable if the variable
is unique in long2wide_omvfleOut from inp2DF (making it
impossible to attach fleOut as attribute to a data frame) -
earlier, the output file name could be “assembled” by adding a suffix to
the input file name, with leaving fleOut empty to return
the resulting data frame that became obsoletedrop = FALSE in sort_omv to prevent reduction to
a vectorglobals,
read_omv, and write_omvjmvReadWrite more suited for using
it together with the jamovi-module jTransform
(https://github.com/sjentsch/jTransform)merge_cols_omv and merge_rows_omv
(incl. phasing out fleInp as parameter for the helper
functions: it now throws an error to prevent using it)read_omv and
write_omvlong2wide_omv (added
aggregation, mean or take first, and fixed a bug that led to incorrect
naming of variables when transforming complex data sets)wide2long_omv (added
parameter excLvl, to prevent that measurements (if there
are more than one) are also transformed to long; fixed a bug that led to
incorrect an order of values within variables when transforming complex
data sets)expect_error and expect_warning, bug-fixes and
additional coverage)setAtt, e.g., from
the metadata to the data frame and vice versa)jmvAtt to attach the attributes
measureType and dataType to data frames coming
from inside jamovi (i.e., when jmvReadWrite is used in
modules, e.g., Rj) OBS: rather for internal use and thus
not exported, use jmvReadWrite:::jmvAtt() to call ittranspose_omv (transpose data frame and write the
resulting jamovi-file)arrange_cols_omv,
long2wide_omv, wide2long_omv,
sort_omv, and transpose_omvmerge_cols_omv)RJSON to
jsonlitefmtFlO to ensure that the
output files are in jamovi-format (.omv); removed typos, etc.arrange_cols_omv (to change the order of
variables / columns in jamovi-files)psvAnl to preserve the analyses in
data files (only for arrange_cols_omv,
merge_cols_omv, sort_omv where it makes sense
– there the number of rows / participants / units doesn’t change)chkFle, removed
duplicate functions from globals.Rmerge_cols_omv\xNN)wide2long_omv and
long2wide_omv (those can now handle several factors, not
only one)write_omv handles / stores factors
(those are now zero-based to be in accordance with most programming
languages including Python and C++ used in the jamovi engine)label, e.g., from importing files using haven, is converted
to the jamovi-conforming jmv-desc)convert_to_omv
(converts data sets from other formats - CSV, R, SPSS, SAS, Stata - to
.omv) merge_cols_omv (merges two or more data
sets by concatenating columns) merge_rows_omv (merges two
or more data sets by concatenating rows) long2wide_omv
(converts data sets from long to wide, e.g., for running
mixed-model-analyses in jamovi) wide2long_omv (converts
data sets from wide to long, e.g., for running mixed-model-analyses in
jamovi) sort_omv (sorts the dataset according to one or
more variable)read_omv,
write_omv, convert_to_omv,
merge_cols_omv, merge_rows_omv,
long2wide_omv, wide2long_omv,
sort_omvread_omv and
write_omv as ordered factor if measureType has
the value OrdinalsveAtt in read_omv (now
TRUE; it makes more sense to store this attributes be
default since write_omv will give you an exact copy of the
original data set if they are stored and the helper functions above also
respect and adjust them)write_omv, added assembling the file name with
normalizePath to read_omvzip R-package instead of utils to
prevent that no ZIP-executable-file is found on Windows
(utils::zip only works in cases where a
zip.exe is found on the path)retDbg (default: FALSE) to
write_omv so that output for debugging is only produced upon setting
itwrite_omv on
Windows (LF + CR, but only CR expected / decoded)jmvRead to read_omv, and
jmvWrite into write_omv.omv-file (set the parameter getSyn = TRUE;
default is FALSE).omv-file (set the
parameter getHTM = TRUE; default is
FALSE)jmvRead) and writes
(jmvWrite) files using a file format similar to jamovi 1.2
(can be read with more recent versions)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.