add_rows                Add rows to data.frame/matrix/table
apply_labels            Set variable labels/value labels on variables
                        in the data.frame
as.category             Convert dichotomy data.frame/matrix to
                        data.frame with category encoding
as.datatable_widget     Create an HTML table widget for usage with
                        Shiny
as.dichotomy            Convert variable (possibly multiple choice
                        question) to data.frame/matrix of dummy
                        variables.
as.etable               Convert data.frame/matrix to object of class
                        'etable'
as.labelled             Recode vector into numeric vector with value
                        labels
by_groups               Aggregate dataset by grouping variable(s).
compare_proportions     Calculate significance (p-values) of
                        differences between proportions/means
count_if                Count/sum/average/other functions on values
                        that meet a criterion
criteria                Criteria functions
cro                     Cross tabulation with support of labels,
                        weights and multiple response variables.
cro_fun                 Cross-tabulation with custom summary function.
default_dataset         Get or set reference to default dataset.
                        Experimental feature.
do_repeat               Repeats the same transformations on a specified
                        set of variables/values
drop_empty_rows         Drop empty (with all NA's) rows/columns from
                        data.frame/table
experimental            Experimental functions for operations with
                        default dataset
expss                   expss: Tables with Labels and Some Useful
                        Functions from Spreadsheets and SPSS Statistics
expss.options           Options for contolling behaviour of the package
fctr                    Convert labelled variable to factor
fre                     Simple frequencies with support of labels,
                        weights and multiple response variables.
from_text               Make data.frame from text
htmlTable.etable        Outputting HTML tables in RStudio viewer/R
                        Notebooks
if_na                   Replace NA values in
                        vector/data.frame/matrix/list with supplied
                        value
if_val                  Change, rearrange or consolidate the values of
                        an existing/new variable. Inspired by RECODE
                        command from SPSS.
info                    Provides variables description for dataset
keep                    Keep or drop elements by name/criteria in
                        data.frame/matrix
match_row               Match finds value in rows or columns/index
                        returns value by index from rows or columns
merge.etable            Merge two tables/data.frames
modify                  Modify data.frame/modify subset of the
                        data.frame
mrset                   Create multiple response set/multiple dichotomy
                        set from variables
na_if                   Replace certain values with NA
names2labels            Replace data.frame/list names with
                        corresponding variables labels.
nest                    Compute nested variable(-s) from several
                        variables
prepend_values          Prepend values/variable names to value/variable
                        labels
product_test            Data from product test of chocolate
                        confectionary
prop                    Compute proportions from numeric
                        vector/matrix/data.frame
qc                      Create vector of characters from unquoted
                        strings (variable names)
read_spss               Read an SPSS Data File
ref                     Auxiliary functions to pass arguments to
                        function by reference
sheet                   Make data.frame without conversion to factors
                        and without fixing names
sort_asc                Sort data.frames/matrices/vectors
split_labels            Split character vector to matrix/split columns
                        in data.frame
split_separate          Splits data.frame into list of data.frames that
                        can be analyzed separately
sum_row                 Compute sum/mean/sd/median/max/min/custom
                        function on rows/columns
tab_significance_options
                        Mark significant differences between columns of
                        the table
tab_sort_asc            Partially (inside blocks) sort
                        tables/data.frames
tables                  Functions for custom tables construction
unlab                   Drop variable label and value labels
val_lab                 Set or get value labels
values2labels           Replace vector/matrix/data.frame/list values
                        with corresponding value labels.
var_lab                 Set or get variable label
vars                    Get variables/range of variables by name/by
                        pattern.
vectors                 Infix operations on vectors - append, diff,
                        intersection, union, replication
vlookup                 Look up values in dictionary.
w_mean                  Compute various weighted statistics
where                   Subset (filter)
                        data.frames/matrices/vectors/lists
window_fun              Function over grouping variables (window
                        function)
write_labels            Write data with labels to file in R code or in
                        SPSS syntax.
