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 |