sjlabelled 1.0.12

General

• 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.

sjlabelled 1.0.11

General

• as_labelled() now corrects inconsistent types between labels and variable values.

Changes to functions

• 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.

Bug fixes

• write_*()-functions should now properly set labels for negative values.

sjlabelled 1.0.9

General

• Deprecated set_note() and get_note(), because there is already an R base function for this purpose: comment().
• Improved performance of functions, at the cost of removing support for the foreign package. sjlabelled now only supports labelled data from package haven.

Changes to functions

• get_term_labels() gets a prefix-argument to prefix the returned labels of categorical variable either with the related variable name or label.

Bug fixes

• Fix issues with retrieving incorrect labels from 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.

sjlabelled 1.0.8

General

• Removed lbl_df(), because printing tibbles now depends on pkg pillar and was revised substantially, so maintainace of lbl_df() is too extensive.

sjlabelled 1.0.7

General

• Cross references from dplyr::select_helpers were updated to tidyselect::select_helpers.
• Replace deprecated arguments in convert_case() from call to package snakecase

sjlabelled 1.0.6

Changes to functions

• get_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.
• Remove protect-argument from internal case conversion (affects get_term_labels() and get_dv_labels()), in preparation for forthcoming snakecase-package update.

sjlabelled 1.0.5

General

• Remove unnecessary imports.
• Revised lbl_df() due to changes in the internals of tibble::trunc_mat().

New functions

• as_factor() to convert labelled vectors into factors, preserving labels.

Changes to functions

• get_dv_labels() now supports brmsfit-objects from package brms.

sjlabelled 1.0.4

Changes to functions

• get_term_labels() now includes variable names for factors with numeric factor levels only (and not only return the numeric level as term label).

Bug fixes

• Fixed bug for as_label(), when x was a character vector and argument drop.levels was TRUE.
• Fixed issue for lme and gls objects in get_term_labels() and get_dv_labels().

sjlabelled 1.0.3

General

• Changed package imports, so sjlabelled no longer requires R version 3.3.3 or higher.

sjlabelled 1.0.2

General

• Minor fix to avoid warning when using as_numeric().

Changes to functions

• get_label(), get_term_labels() and get_dv_labels() get a case-argument, to convert labels into any case, using the snakecase-package.

sjlabelled 1.0.1

General

• Removed function ‘var_rename()’, which is in pkg ‘sjmisc’.

New functions

• get_term_labels() and get_dv_labels() to retrieve term labels from regression models.

Changes to functions

• as_numeric() gets a use.labels-argument to use value labels as new values if these are numeric.

sjlabelled 1.0.0

General

• Initial release. All labelled data utility functions from package sjmisc have been moved to this package, which is now dedicated to tools for working with labelled data.