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.