Man pages for datawizard
Easy Data Wrangling and Statistical Transformations

adjustAdjust data for the effect of other variable(s)
categorizeRecode (or "cut") data into groups of values.
centerCentering (Grand-Mean Centering)
coef_varCompute the coefficient of variation
coerce_to_numericConvert to Numeric (if possible)
colnamesTools for working with column names
convert_na_toReplace missing values in a variable or a data frame.
convert_to_naConvert non-missing values in a variable into missing values.
data_arrangeArrange rows by column values
data_codebookGenerate a codebook of a data frame.
data_duplicatedExtract all duplicates
data_extractExtract one or more columns or elements from an object
data_groupCreate a grouped data frame
data_matchReturn filtered or sliced data frame, or row indices
data_mergeMerge (join) two data frames, or a list of data frames
data_partitionPartition data
data_peekPeek at values and type of variables in a data frame
data_readRead (import) data files from various sources
data_relocateRelocate (reorder) columns of a data frame
data_renameRename columns and variable names
data_restoretypeRestore the type of columns according to a reference data...
data_rotateRotate a data frame
data_tabulateCreate frequency tables of variables
data_to_longReshape (pivot) data from wide to long
data_to_wideReshape (pivot) data from long to wide
data_uniqueKeep only one row from all with duplicated IDs
datawizard-packagedatawizard: Easy Data Wrangling and Statistical...
demeanCompute group-meaned and de-meaned variables
describe_distributionDescribe a distribution
distribution_modeCompute mode for a statistical distribution
dot-is_deprecatedPrint a message saying that an argument is deprecated and...
efcSample dataset from the EFC Survey
find_columnsFind or get columns in a data frame based on search patterns
nhanes_sampleSample dataset from the National Health and Nutrition...
normalizeNormalize numeric variable to 0-1 range
ranktransform(Signed) rank transformation
recode_valuesRecode old values of variables into new values
reexportsObjects exported from other packages
remove_emptyReturn or remove variables or observations that are...
replace_nan_infConvert infinite or 'NaN' values into 'NA'
rescaleRescale Variables to a New Range
rescale_weightsRescale design weights for multilevel analysis
reshape_ciReshape CI between wide/long formats
reverseReverse-Score Variables
rownamesTools for working with row names
skewnessCompute Skewness and (Excess) Kurtosis
slideShift numeric value range
smoothnessQuantify the smoothness of a vector
standardizeStandardization (Z-scoring)
standardize.defaultRe-fit a model with standardized data
text_formatConvenient text formatting functionalities
to_factorConvert data to factors
to_numericConvert data to numeric
visualisation_recipePrepare objects for visualisation
weighted_meanWeighted Mean, Median, SD, and MAD
winsorizeWinsorize data
datawizard documentation built on Nov. 20, 2022, 1:06 a.m.