DImodelsVis (version 1.0.1)

add_add_var: Add additional variables to the data

Description

Utility function for incorporating any additional variables into the data. Each row in the data will be replicated and new columns will be added for each variable specified in `add_var` with values corresponding to their cartesian product.

Usage

add_add_var(data, add_var = NULL)

Value

A data-frame with all additional columns specified in `add_var` and the following additional column.

.add_str_ID

A unique identifier describing each element from the cartesian product of all variables specified in `add_var`.

Arguments

data

A data frame containing the data in which to add the additional variables.

add_var

A named list or data-frame specifying the names and corresponding values of each new variable to add to the data. If a list is specified, each row in the data would be replicated for each unique combination of values of the specified variables (i.e., their cartesian product) in `add_var`, while specifying a data-frame would replicate each row in the data for each row in add_var (i.e., merge the two data-frames).

Examples

test_data <- data.frame(diag(1, 3))
print(test_data)

## Adding a single variable
add_add_var(data = test_data,
            add_var = list("Var1" = c(10, 20)))

## Specifying multiple variables as a list will add values for
##  each unique combination
add_add_var(data = test_data,
            add_var = list("Var1" = c(10, 20),
                           "Var2" = c(30, 40)))

## Specifying add_var as a data.frame would simply merge the two data-frames
add_add_var(data = test_data,
            add_var = data.frame("Var1" = c(10, 20),
                                 "Var2" = c(30, 40)))

## If the list specified in `add_var` is not named, then the additional
## variables will be automatically named Var1, Var2, Var3, etc.
add_add_var(data = test_data,
            add_var = list(c(1, 2), c(3, 4)))