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atomic.to.fac argument was renamed to
convert.factors. Furthermore, this argument now defaults to
TRUE.write_*() functions now remove variables with
completely missing data, to avoid errors when writing the data
file.write_*() functions when labelled data
was of type integer.label_to_colnames() gets a ... argument,
to change only column names of selected variables.Fixed issues with reading/writing tagged NA
values.
Fixed issues with value labelling of character vectors.
write_spss() gets a compress argument, to
save data as compressed SPSS file (zsav-format).num_range() is now also
supported.set_labels() was used on a
vector with completely missing values.write_*() functions that did not work
since the last haven update.remove_labels() when factor levels were
strings.get_dv_labels() was renamed to
response_labels(). get_dv_labels() will remain
as alias.get_term_labels() was renamed to
term_labels(). get_term_labels() will remain
as alias.label_to_colnames() as a convenient shortcut to set
variable labels as column names.copy_labels gets a ...-argument to copy
only specific variables values.read_*() functions are now less verbose by
default.set_labels() for character vectors with
numeric char-values that are larger than 9.read_*()-functions get a
drop.labels-argument, which - if TRUE -
automatically calls drop_labels() on the imported
dataset.read_data() is a shortcut that calls one of the
read_*()-functions, depending on the file extension.as_label() to prevent replacement
recycling when labels were numeric.remove_label(), to remove variable labels (and preserve
value labels).convert_case() gets a verbose-argument to
toggle warnings and messages on or off.
set_na(), to define (labelled)
NA-values in a vector.as_label() gets a keep.labels-argument.
With this, users can easily convert vector to factors and vice versa,
preserving label-attributes.use.labels in
as_numeric().val_labels() as counterpart to
var_labels(), to set value labels, with support for
quasi-quotation (see Examples).var_labels() now supports quasi-quotation (see
Examples).haven_labelled
from the haven-package.get_term_labels() that returned wrong
object names for factors where factor levels did start with “1”.var_labels(), where non-existing columns may
lead to wrong labelling.copy_labels() now also copy labels even if columns in
subsetted and original data frame do not completely match.include.non.labelled and
include.values in get_labels() are renamed to
shorter versions non.labelled and values.
include.non.labelled and include.values will
become softly deprecated.read_*()-functions get a
verbose-argument, to show or hide the progressbar when
imported datasets are converted.lmerModLmerTest
objects.get_dv_labels() and get_term_labels() now
support clmm-objects (package ordinal) and
stanmvreg-objects (package rstanarm).read_spss() gets a enc-argument for
character encoding, which is now supported since haven 1.1.2.get_term_labels() now returns NULL for
unsupported models, instead of giving an error.get_dv_labels() now returns a default string for
unsupported models, instead of giving an error.as_labelled() now corrects inconsistent types between
labels and variable values.get_dv_labels() gets a multi.resp-argument
to return each label of a multivariate response model (only for
brmsfit objects).get_label() now also returns name-attribute for empty
labels if x was a data.frame.write_*()-functions should now properly set labels for
negative values.set_note() and get_note(),
because there is already an R base function for this purpose:
comment().get_term_labels() gets a prefix-argument
to prefix the returned labels of categorical variable either with the
related variable name or label.get_term_labels() for models that used unlabelled data in
combination with other contrasts than the default option.get_dv_labels() no longer returns "NULL"
for multivariate-response-models fitted with brms.lbl_df(), because printing tibbles now depends
on pkg pillar and was revised substantially, so maintainace of
lbl_df() is too extensive.dplyr::select_helpers were
updated to tidyselect::select_helpers.convert_case() from
call to package snakecaseget_dv_labels() and get_term_labels() now
support clm-objects from package ordinal,
polr-objects from package MASS and
Zelig-relogit-objects from package Zelig.get_dv_labels() and get_term_labels() get
a ...-argument to pass down further arguments to
snakecase::to_any_case().convert_case() is now exported, for usage in other
packages as well.protect-argument from internal case conversion
(affects get_term_labels() and
get_dv_labels()), in preparation for forthcoming
snakecase-package update.lbl_df() due to changes in the internals of
tibble::trunc_mat().as_factor() to convert labelled vectors into factors,
preserving labels.get_dv_labels() now supports
brmsfit-objects from package brms.get_term_labels() now includes variable names for
factors with numeric factor levels only (and not only return the numeric
level as term label).as_label(), when x was a
character vector and argument drop.levels was
TRUE.get_term_labels() and get_dv_labels().sjlabelled no longer
requires R version 3.3.3 or higher.as_numeric().get_label(), get_term_labels() and
get_dv_labels() get a case-argument, to
convert labels into any case, using the snakecase-package.get_term_labels() and get_dv_labels() to
retrieve term labels from regression models.as_numeric() gets a use.labels-argument to
use value labels as new values if these are numeric.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.