adjust                  Adjust data for the effect of other variable(s)
center                  Centering (Grand-Mean Centering)
convert_data_to_numeric
                        Convert data to numeric
convert_na_to           Replace missing values in a variable or a
                        dataframe.
convert_to_na           Convert non-missing values in a variable into
                        missing values.
data_addprefix          Rename columns and variable names
data_cut                Recode (or "cut") data into groups of values.
data_extract            Extract one or more columns or elements from an
                        object
data_match              Return filtered data frame or row indices
data_merge              Merge (join) two data frames, or a list of data
                        frames
data_partition          Partition data into a test and a training set
data_relocate           Relocate (reorder) columns of a data frame
data_rescale            Rescale Variables to a New Range
data_restoretype        Restore the type of columns according to a
                        reference data frame
data_reverse            Reverse-Score Variables
data_rotate             Rotate a data frame
data_to_long            Reshape (pivot) data from wide to long
demean                  Compute group-meaned and de-meaned variables
describe_distribution   Describe a distribution
efc                     Sample dataset from the EFC Survey
find_columns            Find or get columns in a data frame based on
                        search patterns
format_text             Convenient text formatting functionalities
nhanes_sample           Sample dataset from the National Health and
                        Nutrition Examination Survey
normalize               Normalize numeric variable to 0-1 range
ranktransform           (Signed) rank transformation
remove_empty            Return or remove variables or observations that
                        are completely missing
replace_nan_inf         Convert infinite or 'NaN' values into 'NA'
rescale_weights         Rescale design weights for multilevel analysis
reshape_ci              Reshape CI between wide/long formats
rownames_as_column      Tools for working with row names
skewness                Compute Skewness and (Excess) Kurtosis
smoothness              Quantify the smoothness of a vector
standardize             Standardization (Z-scoring)
to_numeric              Convert to Numeric (if possible)
visualisation_recipe    Prepare objects for visualisation
weighted_mean           Weighted Mean, Median, SD, and MAD
winsorize               Winsorize data
