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inspectDifferences()
and
inspectMetaDifferences()
now allow comparisons of variables
within the same GADSdat
object (#62)import_tibble()
allows importing
tibbles
as GADSdat
objects (#88)applyLookup()
now works for multiple variables that
contain NAs
(#68)applyChangeMeta()
and recodeGADS()
now
correctly perform recodings (and throw errors) if multiple meta data
conflicts occur (#57)removeEmptyValLabels()
for removing unused missing tags
and value labels (#4)extractData()
and extractData2()
now
correctly apply value labels, even when value and value label conflicts
existwrite_spss2()
now also handles variables containing
only NA values when format
is also NA (#72)changeMissings()
now correctly changes missing labels
for values of variables with partially non-existent value
s
and/or valLabel
s (#73)autoRecode()
now correctly overwrites the existing
variable if var_suffix = ""
(#84)inspectMetaDifferences()
is now correctly
named even if differences in variable labels and SPSS
format occur (#81)extractData2()
and extractData()
now
correctly transform variables with duplicate value labels (#77)import_spss
vignette updated to use
extractData2()
instead of extractData()
extractData()
to use
extractData2()
internally (#82)equalGADS()
now allows pre-sorting the data by an
identifier variableupdateMeta()
, applyChangeMeta()
,
changeVarNames()
, cloneVariable()
,
createVariable()
, composeVar()
, and
dummies2char()
now have optional checks of new variables
names via the checkVarNames
argumentreuseMeta()
now can be use on multiple variables at
onceinspectMetaDifferences()
now can be applied to data
bases as wellrecodeNA2missing()
for recoding NAs
to a
specific missing coderecode2NA()
now allows the recoding of multiple
values
at once and returns a warning, if the recoded values
have existing value labels in the recoded variablesupdateMeta()
is now compatible with
extractData()
and extractData2()
extractData2()
now available for
trend_GADSdat
objectsrecodeGADS()
and applyChangeMeta()
allow
recoding values without recoding value labels (via
existingMeta = "ignore"
)insertVariable()
has been renamed
relocateVariable()
for clarity. Variables can now be
inserted at the very beginning of a GADSdat
cloneVariable()
and autoRecode()
now allow
automatic appending of variable label suffixes via the
label_suffix
argumentemptyTheseVariables()
allows setting
multiple variables to NA
import_spss()
now removes duplicate meta data rows,
which caused an error in, e.g., recodeGADS()
export_tibble()
and write_spss()
now throw
an error if a conversion of four or more discrete missing tags into a
missing range has undesired side effectscheckMissingsByValues()
, now correctly
reports missing tags outside of the specified value rangecloneVariable()
, now new variables names
which are also SQLite
keywords no longer throw a error
(fixed conflicts caused by checkVarName()
)multiChar2fac()
now allows converting to upper or lower
cases via the convertCases
argumentcheckMissingsByValues()
for checking missing tags for
specific, labeled values (or a value range)import_spss()
with more informative error messagecheckMissingValLabels()
now allows checks for specific
variable classescheckMissingValLabels()
now offers
data.frame
output formatextractData2()
for better usability and support of
ordered factorsfixEncoding()
now supports imports of
windows-1250
imported files via import_spss()
with UTF-8
encodingimport_spss()
now transforms DATEATIME
and
ADATE
variables to character, assigning an appropriate
formatcloneVariable()
for duplicating an existing variable
under a new namecreateVariable()
for creating a new, empty
variableinsertVariable()
for changing the position of a
variable in the data setautoRecode()
for automatically recoding (numerical)
variablesmultiChar2fac()
for cases with existing
value labels (with values labeled greater than zero)composeVar()
now correctly prioritizes if both
variables have missing valueschangeMissings()
now does no longer add arbitrary value
labels for newly tagged valuescheckUniqueness2()
for cases with differing
numbers of cases per imputed data setchangeValLabels()
for a mixture of already
existing and new valuesimport_spss()
when setting
labeledStirngs = "transform"
import_spss()
for variables with missing
tags but no value labels (these missing tags were dropped before)extractData()
adds now all variable labels as a
label
attribute to the resulting
data.frame
equalGADS()
getTrendGADS()
inspectMetaDifferences()
for inspecting meta
differences between two GADSdats
and a single variablecheckUniqueness2()
for faster checking if a variable is
unique within an identifier variablefixEncoding()
for fixing encoding issues caused during
the import via import_spss()
using ASCII
or
other encodingcomposeVar()
for combining the information of two
variables in a third variablesubImputations()
now works with differing
varName
and varName_imp
fillImputations()
for efficiently filling missing
values in imputed variables via not imputed variablescheckFormat()
now works correctly for variables without
value labelscheckFormat()
now works correctly for variables with
purely NAs
import_raw()
now works correctly if variables are
provided as integersreuseMeta()
now works correctly if variables occur in
multiple sheets in a data base or all_GADSdat
README
getTrendGADS()
now supports multiple measurement points
but support for linking errors has been droppedextractData()
now supports multiple measurement points
but support for linking errors has been droppedgetTrendGADSOld()
and extractDataOld()
provide backward compatibilitycheckLEStructure()
deprecatedimport_spss()
now can automatically transform labeled
or missing tagged character values via the changed
labeledStrings
argumentassimilateValLabels()
for assimilating value labels of
multiple variablescbind.GADSdat()
method for binding multiple
GADSdat
objects by columncalculateScale()
for calculating scales from item
setscheckUniqueness()
for checking uniqueness of a variable
within an id
variablemeta_data
)updateMeta()
(all added variables are now
checked for illegal naming)equalGADS()
now ignores irrelevant format differences
(F8.0
vs F8
)JSS
link in vignetteapplyChangeMeta()
and changeValLabels()
now automatically assign "valid"
to the
missings
columns for labeled valuesequalGADS()
(meta data differences solely due
to different meta data sorting are now ignored)equalGADS()
can now exclude certain meta data columns
from the comparisoncheckFormat()
for checking and
modifyingSPSS
format type compatibility with actual
datacheck4SPSS()
for checking SPSS
meta data
conventions and requirementschangeVarNames()
and applyChangeMeta()
now
enforce SQLite3
naming conventionswrite_spss2()
applyChangeMeta()
: now recognizes differences
in NAs
in old columns when checking the change tableinspectDifferences()
now checks whether variable is of
the same type in both GADSdats
subImputations()
for substituting imputations with
original, not imputed valuesapplyChangeMeta()
now returns a more informative error
if the variable sets in the GADSdat
and the
changeTable
differapplyChangeMeta()
tries to convert value
columns in changeTable
to numeric before throwing an
errordummies2char()
for recoding a set of dummy variables to
a set of left filled character variablesfac2dummies()
and fac2dummies_complex()
for recoding a labeled factor variable to multiple labeled dummy
variablesequalGADS()
for comparing the complete structure and
content of two GADSdat
objectsinspectDifferences()
for comparing specific
variablesreuseMeta()
now allows only transferring value labels
for values coded as missingcheckEmptyValLabels()
and
checkMissingValLabels()
provide cleaner outputwrite_spss2()
for writing .sav
files via a
text file and a SPSS
syntaximport_spss()
and write_spss()
now deal
correctly with missing codes for character variablesrecodeGADS()
allows recoding of unlabeled variables and
valuesimport_spss()
now takes an encoding
argument to work around faulty defaultsapplyChangeMeta()
on value
levelimport_spss()
(all columns are forced to be
double
when imported instead of integer
)fac2dummies_complex()
(value labels of dummy
variables are tagged as valid
)recodeGADS()
removeValLabels()
(when a single value label
was removed)collapseMultiMC_Text()
(left_fill()
and drop_empty()
)remove2NAchar()
(with partially labeled
variables)multiChar2fac()
(with partially labeled
variables)applyLookup_expandVar()
(removed unnecessary
messages)import_spss()
(haven
patch for labeled character variables)checkEmptyValLabels()
and
checkMissingValLabels()
for comparing values in the data
and value labelscompareGADS()
for comparing multiple variables between
two GADSdats
recodeGADS()
allows recoding (multiple) values into
existing values now, argument existingMeta
addedrecodeGADS()
allows recoding of NA
nowrecode2NA()
allows recoding of numeric and character
values to NA
recodeString2NA()
has been deprecatedcollapseColumns()
(now supports
new_value
as column name in look up table)checkValue()
now returns occurrence count as vector
instead of giving a messagecheckValue()
now works on a subset of variables (via
argument vars
)checkValue()
now supports checking for
NA
removeValLabels()
now can remove only specific
value
- valLabel
pairs if requiredrecodeGADS()
via
newValueLabels
deprecated (use
changeValLabels()
instead)applyChangeMeta()
now works with
data.frames
(for compatibility with excel
import and export)import_spss()
now supports variables of type
datetime
import_stata()
and write_stata()
for
exporting and importing Stata
filescheck_GADSdat()
now checks for duplicate value
rowstravis
and appVeyor
to
Github Action
applyChangeMeta()
checks format_new
column
now for illegal entriesapplyChangeMeta()
throws error if result has corrupted
meta dataapplyChangeMeta()
orders meta data within a variable
(by ascending value)applyChangeMeta()
on value
levelapplyChangeMeta()
if only
missings_new
is changedrevdepcheck
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.