| adjust | Adjust data for the effect of other variable(s) |
| center | Centering (Grand-Mean Centering) |
| center.data.frame | Centering (Grand-Mean Centering) |
| center.numeric | Centering (Grand-Mean Centering) |
| centre | Centering (Grand-Mean Centering) |
| change_scale | Rescale Variables to a New Range |
| column_as_rownames | Tools for working with row names |
| convert_data_to_numeric | Convert data to numeric |
| convert_data_to_numeric.data.frame | Convert data to numeric |
| convert_na_to | Replace missing values in a variable or a dataframe. |
| convert_na_to.character | Replace missing values in a variable or a dataframe. |
| convert_na_to.data.frame | Replace missing values in a variable or a dataframe. |
| convert_na_to.numeric | Replace missing values in a variable or a dataframe. |
| convert_to_na | Convert non-missing values in a variable into missing values. |
| convert_to_na.data.frame | Convert non-missing values in a variable into missing values. |
| convert_to_na.numeric | Convert non-missing values in a variable into missing values. |
| data_addprefix | Rename columns and variable names |
| data_addsuffix | Rename columns and variable names |
| data_adjust | Adjust data for the effect of other variable(s) |
| data_cut | Recode (or "cut") data into groups of values. |
| data_cut.data.frame | Recode (or "cut") data into groups of values. |
| data_cut.numeric | Recode (or "cut") data into groups of values. |
| data_extract | Extract one or more columns or elements from an object |
| data_extract.data.frame | Extract one or more columns or elements from an object |
| data_filter | Return filtered data frame or row indices |
| data_findcols | Find or get columns in a data frame based on search patterns |
| data_join | Merge (join) two data frames, or a list of data frames |
| data_match | Return filtered data frame or row indices |
| data_merge | Merge (join) two data frames, or a list of data frames |
| data_merge.data.frame | Merge (join) two data frames, or a list of data frames |
| data_merge.list | 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_remove | Relocate (reorder) columns of a data frame |
| data_rename | Rename columns and variable names |
| data_rename_rows | Rename columns and variable names |
| data_reorder | Relocate (reorder) columns of a data frame |
| data_rescale | Rescale Variables to a New Range |
| data_rescale.data.frame | Rescale Variables to a New Range |
| data_rescale.numeric | 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_reverse.data.frame | Reverse-Score Variables |
| data_reverse.numeric | Reverse-Score Variables |
| data_rotate | Rotate a data frame |
| data_select | Find or get columns in a data frame based on search patterns |
| data_to_long | Reshape (pivot) data from wide to long |
| data_to_numeric | Convert data to numeric |
| data_to_wide | Reshape (pivot) data from wide to long |
| data_transpose | Rotate a data frame |
| degroup | Compute group-meaned and de-meaned variables |
| demean | Compute group-meaned and de-meaned variables |
| describe_distribution | Describe a distribution |
| describe_distribution.character | Describe a distribution |
| describe_distribution.data.frame | Describe a distribution |
| describe_distribution.factor | Describe a distribution |
| describe_distribution.list | Describe a distribution |
| describe_distribution.numeric | Describe a distribution |
| detrend | Compute group-meaned and de-meaned variables |
| efc | Sample dataset from the EFC Survey |
| empty_columns | Return or remove variables or observations that are completely missing |
| empty_rows | Return or remove variables or observations that are completely missing |
| extract | Extract one or more columns or elements from an object |
| find_columns | Find or get columns in a data frame based on search patterns |
| format_text | Convenient text formatting functionalities |
| get_columns | Find or get columns in a data frame based on search patterns |
| kurtosis | Compute Skewness and (Excess) Kurtosis |
| nhanes_sample | Sample dataset from the National Health and Nutrition Examination Survey |
| normalize | Normalize numeric variable to 0-1 range |
| normalize.data.frame | Normalize numeric variable to 0-1 range |
| normalize.numeric | Normalize numeric variable to 0-1 range |
| print.parameters_kurtosis | Compute Skewness and (Excess) Kurtosis |
| print.parameters_skewness | Compute Skewness and (Excess) Kurtosis |
| ranktransform | (Signed) rank transformation |
| ranktransform.data.frame | (Signed) rank transformation |
| ranktransform.numeric | (Signed) rank transformation |
| remove_empty | Return or remove variables or observations that are completely missing |
| remove_empty_columns | Return or remove variables or observations that are completely missing |
| remove_empty_rows | 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 |
| reshape_longer | Reshape (pivot) data from wide to long |
| reshape_wider | Reshape (pivot) data from wide to long |
| reverse_scale | Reverse-Score Variables |
| rownames_as_column | Tools for working with row names |
| skewness | Compute Skewness and (Excess) Kurtosis |
| smoothness | Quantify the smoothness of a vector |
| standardise | Standardization (Z-scoring) |
| standardize | Standardization (Z-scoring) |
| standardize.data.frame | Standardization (Z-scoring) |
| standardize.factor | Standardization (Z-scoring) |
| standardize.numeric | Standardization (Z-scoring) |
| summary.parameters_kurtosis | Compute Skewness and (Excess) Kurtosis |
| summary.parameters_skewness | Compute Skewness and (Excess) Kurtosis |
| text_concatenate | Convenient text formatting functionalities |
| text_fullstop | Convenient text formatting functionalities |
| text_lastchar | Convenient text formatting functionalities |
| text_paste | Convenient text formatting functionalities |
| text_remove | Convenient text formatting functionalities |
| text_wrap | Convenient text formatting functionalities |
| to_numeric | Convert to Numeric (if possible) |
| unstandardise | Standardization (Z-scoring) |
| unstandardize | Standardization (Z-scoring) |
| unstandardize.data.frame | Standardization (Z-scoring) |
| unstandardize.numeric | Standardization (Z-scoring) |
| visualisation_recipe | Prepare objects for visualisation |
| weighted_mad | Weighted Mean, Median, SD, and MAD |
| weighted_mean | Weighted Mean, Median, SD, and MAD |
| weighted_median | Weighted Mean, Median, SD, and MAD |
| weighted_sd | Weighted Mean, Median, SD, and MAD |
| winsorize | Winsorize data |
| winsorize.numeric | Winsorize data |