NEWS (original) (raw)

sjmisc 2.8.11

• Fix CRAN notes.

sjmisc 2.8.8

Changes to functions

• rec() now keeps the labels of the old values with the new ones when there are no labels specified and there is a 1 to 1 correspondence between old and new values.
• format() for frq() was revised, and now allows to format the frequency table to prepare for printing in text, markdown and HTML-format. To do so, use the methodsprint(), print_md() orprint_html().
• Address changes in forthcoming update of_sjstats_.

Bug fixes

• Fix CRAN check issues.

sjmisc 2.8.7

New functions

• A first draft of format() for frq() was implemented.

Changes to functions

• merge_df() preserves more attributes related to labelled data.
• to.factor is an alias for the argumentas.num.

sjmisc 2.8.6

General

• Updating imports.

Bug fixes

• Fixed bug in move_columns() (using a variable as value for argument .after didn’t work).

sjmisc 2.8.5

Changes to functions

• flat_table() gains aweights-argument.

Bug fixes

• descr() calculated wrong percentage of missing values for weighted data.
• Fixed issue in rec() when min,max, lo or hi was used to recode a numeric into a character vector, and the new recode string contained one of these four strings as pattern.
• Give informative warning in rec() when maxor hi was used to recode a value which maximum values was lower than a defined range, e.g. 4:max when the maximum values was lower than 4.

sjmisc 2.8.4

Changes to functions

• descr() now also calculates the IQR.
• Revised print()-method for frq().
• Minor changes to be compatible with forthcoming dplyr-release.

sjmisc 2.8.3

New functions

• Added as.data.frame() for frq().

Changes to functions

• typical_value() now returns the median for integer-values (instead of mean), to preserve the integer-type of a variable.
• The recode-pattern in rec() now also works for character variables with whitespaces.
• rec() now warns explicitely for possible non-intended multiple assignment of identical new recode-values.
• Improved printing for frq().
• merge_imputations() now returns the plot-object as well.
• to_numeric() as alias for to_value().

Bug fixes

• Fixed warning from CRAN checks.
• Fixed errors from CRAN checks.

sjmisc 2.8.2

General

• Alias find_variables() (alias forfind_var()) was renamed to find_in_data(), to avoid conflicts with package insight.
• rename_variables() and rename_columns()are aliases for var_rename().

Changes to functions

• frq() now also prints frequencies of logical conditions, e.g. how many values are lower or greater than a certain threshold.
• frq() gets a min.frq-argument, indicating the minimum frequency for which a value will be shown in the output.
• descr() gets a show argument to show selected columns only.
• descr() gets a file-argument to write the output as HTML file.
• var_rename() now also accepts a named vector with multiple elements as ellipses-argument.

Bug fixes

• Fixed erroneously warning in de_mean().
• merge_df() now removes columns with identical column names inside a data frame before merging, to avoid errors.
• Fixed issue when printing character vectors in frq(), where first element was empty, and vectors were not provided as data frame argument.
• Fixed issue in word_wrap() when processing expressions.
• Fixed issue in rec() with tokenrec = "rev", when reversing labelled vectors with more value labels than values.

sjmisc 2.8.1

General

• find_variables() as alias forfind_var().
• Revised docs.

Bug fixes

• Fixed issue with forthcoming update of the rlangpackage.

sjmisc 2.8.0

General

• Some print-methods, especially for grouped data frames, are now more compact.

New functions

• reshape_longer(), as alternative toto_long(), probably easier to remember (function and argument-names).

Bug fixes

• frq() displayed labels as NA in some situations for grouped data frames with more than one group, when data were not labelled.

sjmisc 2.7.8

General

• Reduce package dependencies.
• str_pos() was renamed intostr_find().
• New package-vignette Recoding Variables.

New functions

• typical_value(), which was formerly located in package_sjstats_.

Changes to functions

• is_whole() now automatically removes missing values from vectors.
• is_empty() now also checks lists with onlyNULL-elements.

Bug fixes

• Better handling of factors in merge_imputations(), which previously could result in NA-values when merging imputed values into one variable.
• Fix issue in is_empty() in case the vector had non-missing values, but first element of vector wasNA.
• Fixed bug in frq() for grouped data frame, when grouping variable was a character vector. In this case, group titles were mixed up.
• Fix encoding issues in help-files.

sjmisc 2.7.7

New functions

• tidy_values() to “clean” values (i.e. remove special chars) of character vectors or levels of factors.
• add_id() to quickly add an ID variable to (grouped) data frames.

Changes to functions

• frq() gets a show.na-argument, to (automatically) show or hide the information for NA-values from the output.
• The weights-argument in frq() now also accepts vectors, and is not limited to variable names. Note that these vectors must be part of a data frame.
• For recode-functions (like rec(), dicho(), …), if suffix = "" and append = TRUE, existing variables will be replaced by the new, recoded variables.
• Improved performance for group_str().
• var_rename() now supports quasi-quotation (see Examples).
• row_sums() and row_means() now return the input data frame when this data frame only had one column and no row means or sums were calculated. The returned data frame still gets the new variable name defined in var.

Bug fixes

• complete_cases() returned an empty vector instead of all indexes if all cases (rows) of a data frame were complete.
• Fix issue with to_dummy() for character-vector input.
• Fix issue with missing values in group_str().
• Fix issue with grouped data frames in frq() whengrp.strings = TRUE.

sjmisc 2.7.6

Changes to functions

• frq() gets a file andencoding argument, to save the HTML output as file.
• add_variables() and move_columns() now preserve the attributes of a data frame.

sjmisc 2.7.5

General

• Reduce package dependencies.

New functions

• de_mean() to compute group-meaned and de-meaned variables.
• add_variables() and add_case() to add columns or rows in a convenient way to a data frame.
• move_columns() to move one or more columns to another position in a data frame.
• is_num_chr() to check whether a character vector has only numeric strings.
• seq_col() and seq_row() as convenient wrapper to create a regular sequence for column or row numbers.

Changes to functions

• descr() gets a weights-argument, to print weighted descriptive statistics.
• The n-argument in row_means() androw_sums() now also may be Inf, to compute means or sums only if all values in a row are valid (i.e. non-missing).
• Argument weight.by in frq() was renamed into weights.
• frq() gets a title-argument, to specify an alternative title to the variable label.

Bug fixes

• round_num() preserves data frame attributes.
• frq() printed frequencies of grouping-variable for grouped data frames, when weights was notNULL.
• Fixed issue with wrong title in frq() for grouped data frames, when grouping variable was an unlabelled factor.

sjmisc 2.7.4

New functions

• has_na() to check if variables or observations in a data frame contain NA, NaN or Infvalues. Convenient shortcuts for this function arecomplete_cases(), incomplete_cases(),complete_vars() and incomplete_vars().
• total_mean() to compute the overall mean of all values from all columns in a data frame.
• prcn() to convert numeric scalars between 0 and 1 into a character-percentage value.
• numeric_to_factor() to convert numeric variables into factors, using associated value labels as factor levels.

Changes to functions

• set_na() now also replaces different values per variable into NA.
• Changed behaviour of row_sums() and missing values.row_sums() gets a n-argument and now computes row sums if a row has at least n non-missing values.

sjmisc 2.7.3

General

• A test-suite was added to the package.
• Updated reference in CITATION to the publication in the Journal of Open Source Software.

New functions

• is_cross_classified() to check whether two factors are partially crossed.

Changes to functions

• ref_lvl() now also accepts value labels as value for the lvl-argument. Additionally, ref_lvl() now also works for factor with non-numeric factor levels and simply returnsrelevel(x, ref = lvl) in such cases.

Bug fixes

• Fixed encoding issues in rec() with direct labelling for certain locales.
• Fixed issue in count_na(), which did not print labels of tagged NA values since the last revision offrq().
• Fixed issue in merge_imputation() for cases where original data frame had less columns than imputed data frames.
• Fixed issue in find_var() for fuzzy-matching in all elements (i.e. when fuzzy = TRUE andsearch = "all").

sjmisc 2.7.2

New functions

• round_num() to round only numeric values in a data frame.

General

• Improved performance for merge_df(). Furthermore,add_rows() was added as alias formerge_df().
• merge_df() resp. add_rows() now create a unique id-name instead of dropping the ID-variable, in caseid has the same name of any existing variables in the provided data frames.
• Improved performance for descr() and minor changes to the output.

Support formids-objects (package mice)

Following functions now also work on mids-objects, as returned by the mice()-function: *row_count(), row_sums(),row_means(), rec(), dicho(),center(), std(), recode_to() andto_long().

Changes to functions

• The weight.by-argument in frq() now should be a variable name from a variable in x, and no longer a separate vector.

Bug fixes

• descr() does not work with character vectors, so these are being removed now.

sjmisc 2.7.1

General

• Fix typos and revise outdated paragraphs in vignettes.

New functions

The recoding and transformation functions get scoped variants, allowing to select variables based on logical conditions described in a function:

• rec_if() as scoped variant of rec().
• dicho_if() as scoped variant ofdicho().
• center_if() as scoped variant ofcenter().
• std_if() as scoped variant of std().
• split_var_if() as scoped variant ofsplit_var().
• group_var_if() and group_label_if() as scoped variant of group_var() andgroup_label().
• recode_to_if() as scoped variant ofrecode_to().
• set_na_if() as scoped variant ofset_na().

Changes to functions

• New function remove_cols() as alias forremove_var().
• std() gets a new robust-option,robust = "2sd", which divides the centered variables by two standard deviations.
• Slightly improved performance for set_na().

Bug fixes

• frq() now removes empty columns before computing frequencies, because applying frq() on empty vectors caused an error.
• empty_cols() and empty_rows() (and hence,remove_empty_cols() and remove_empty_rows()) caused an error for data frames with only one column resp. row, or ifx was a vector and no data frame.
• frq() now removes missing values from input when weights are applied, to ensure that input and weights have same length.

sjmisc 2.7.0

General

• Breaking changes: The append-argument in recode and transformation functions like rec(),dicho(), split_var(),group_var(), center(), std(),recode_to(), row_sums(),row_count(), col_count() androw_means() now defaults to TRUE.
• The print()-method for descr() now accepts a digits-argument, to specify the rounding of the output.
• Cross refences from dplyr::select_helpers were updated to tidyselect::select_helpers.

New functions

• is_whole() as counterpart tois_float().

Changes to functions

• frq() now prints variable names for non-labelled data, adds variable names in braces for labelled data and omits the_label_ column for non-labelled data.
• frq() now prints mean and standard deviation in the header line of the output.
• frq() now gets a auto.grp-argument to automatically group variables with many unique values.
• frq() now gets a show.strings-argument to omit string variables (character vectors) from being printed as frequency table.
• frq() now gets a grp.strings-argument to group similar string values in the frequency table.
• frq() gets an out-argument, to print output to console, or as HTML table in the viewer or web browser.
• descr() gets an out-argument, to print output to console, or as HTML table in the viewer or web browser.

Bug fixes

• is_empty() returned TRUE for single vectors with NA being the first element.
• Fix issue where due to a bug during code cleanup,remove_empty_rows() did no longer remove empty rows, but columns.

sjmisc 2.6.3

General

• Revised examples that used removed methods from other packages.
• Use select-helpers from package tidyselect, instead of_dplyr_.
• Beautiful colored output for frq(),descr() and flat_table().

Changes to functions

• rec() now also recodes doubles with floating points, if a range of values is specified.
• std() and center() now useinclude.fac = FALSE as default option.
• std() gets a robust-argument, to divide variables either by standard deviation, or - in case of asymmetrically distributed variables - median absolute deviation or Gini’s mean difference.
• frq() now shows total and valid N in output.

Bug fixes

• center(), std(), dicho(),split_var() and group_var() did not work correctly for grouped data frames.
• frq() did not print multiple variables when applied on grouped data frames.

sjmisc 2.6.2

Changes to functions

• Arguments as.df and as.varlab in functionfind_var() are now deprecated. Please use outinstead.
• rotate_df() preserves attributes.
• is_float() is now exported as function.

Bug fixes

• Fixed bug for to_label(), when x was a character vector and argument drop.levels wasTRUE.

sjmisc 2.6.1

General

• Fixed issue with latest tidyr-update on CRAN.

Bug fixes

• frq() did not correctly calculate valid and cumulative percentages when using weights.

sjmisc 2.6.0

General

• All labelled-data functions were removed and are now in package_sjlabelled_.

New functions

• remove_var() as pipe-friendly function to remove variables from data frames.
• var_type() as pipe-friendly function to determine the type of variables.
• all_na() to check whether a vector only consists of NA values.
• rotate_df() to rotate data frames (switch columns and rows).
• shorten_string(), to shorten strings to a certain maxium number of chars.

Changes to functions

• Following functions now also work on grouped data frames:dicho(), split_var(),group_var(), std() andcenter().
• Argument groupcount in split_var(),group_var() and group_labels() is now namedn.
• Argument groupsize in group_var() andgroup_labels() is now named size.
• frq() gets a revised print-method, which does not print the result to console when captured in an object (i.e.,x <- frq(x) no longer prints the result).
• frq() no longer prints (redundant) labels for factors w/o value label attributes.
• frq() adds information about the variable type in the table caption (only for variables with variable labels).
• frq() adds information about groups when printing grouped, non-labelled variables.
• descr() now also prints information about the variable type.
• to_character() now preserves variable labels.

sjmisc 2.5.0

General

• sjmisc now uses dplyr’s tidyeval-approach to evaluate arguments. This means that the select-helper-functions (likeone_of() or contains()) no longer need to be prefixed with a ~ when used as argument withinsjmisc-functions.
• All labelled-data functions are now deprecated and will become defunct in future package versions. The labelled-data functions have been moved into a separate package, sjlabelled.

New functions

• row_count() to count specific values in a data frame per observation.
• col_count() to count specific values in a data frame per variable.
• str_start() and str_end() to find starting and end indices of patterns inside strings.

Changes to functions

• The output for frq() now always includes aNA-row, but no longer prints a value for theNA-row.
• merge_imputations() gets asummary-argument to plot a graphical summary of the quality of the merging process.

Bug fixes

• add_columns() and replace_columns()crashed R when no data frame was specified in ...-ellipses argument.
• descr() and frq() used wrong variable labels when processing grouped data frames for specific situations, where the grouping variable had no sequences values.
• descr() did not work for large data frames, because internally, because psych::describe() switched to fast mode by default then (removing columns from the output).