Data and Variable Transformation Functions
Add or replace data frame columns
Value matching
Recode variable categories into new values
Objects exported from other packages
Merge labelled data frames
Add variables or cases to data frames
Check if vector only has NA values
Format numbers
Frequency table of tagged NA values
Flat (proportional) tables
Compute group-meaned and de-meaned variables
Basic descriptive statistics
Dichotomize variables
Return or remove variables or observations that are completely missing
Find variable by name or label
Frequency table of labelled variables
Group near elements of string vectors
Recode numeric variables into equal-ranged groups
Check if variables or cases have missing / infinite values
Check whether two factors are crossed or nested
Check whether string, list or vector is empty
Check whether value is even or odd
Check if a variable is of (non-integer) double type or a whole number
Check whether a factor has numeric levels only
Merges multiple imputed data frames into a single data frame
Move columns to other positions in a data frame
Convert numeric vectors into factors associated value labels
Recode variables
Create recode pattern for 'rec' function
Change reference level of (numeric) factors
Remove variables from a data frame
Replace NA with specific values
Reshape data into long format
Rotate a data frame
Round numeric variables in a data frame
Count row or column indices
Row sums and means for data frames
Sequence generation for column or row counts of data frames
Replace specific values in vector with NA
Shorten character strings
Data and Variable Transformation Functions
Split numeric variables into smaller groups
Spread model coefficients of list-variables into columns
Standardize and center variables
Check if string contains pattern
Find partial matching and close distance elements in strings
Find start and end index of pattern in string
Clean values of character vectors.
Split (categorical) vectors into dummy variables
Convert wide data to long format
Convert factors to numeric variables
Trim leading and trailing whitespaces from strings
Return the typical value of a vector
Rename variables
Determine variable type
Insert line breaks in long labels
Convert infiite or NaN values into regular NA
Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.