Pairwise combinations of variables — comb

Pairwise combinations of variables that will be the result of a function applied to each combination.

Usage

comb_vars(.data, order = "first", FUN = "+", verbose = TRUE)

Arguments

.data: A matrix of data with, say, p columns.
order: The order on how the results will appear in the output. Default is order = 'first'. In this case, assuming that .data has four columns, namely, V1, V2, V3, V4, the order of columns in the output will be V1.V2, V1.V3, V1.V4, V2.V3, V2.V4, V3.V4. If order = 'second', the result will be then V1.V2, V1.V3, V2.V3, V1.V4, V2.V4, V3.V4.
FUN: The function that will be applied to each combination. The default is +, i.e., V1 + V2.
verbose: Logical argument. If verbose = FALSE the code will run silently.

Value

A data frame containing all possible combination of variables. Each combination is the result of the function in FUN applied to the two variables.

Author

Tiago Olivoto tiagoolivoto@gmail.com

Examples

# \donttest{
library(metan)
data <- data.frame(A = rnorm(n = 5, mean = 10, sd = 3),
                  B = rnorm(n = 5, mean = 120, sd = 30),
                  C = rnorm(n = 5, mean = 40, sd = 10),
                  D = rnorm(n = 5, mean = 1100, sd = 200),
                  E = rnorm(n = 5, mean = 2, sd = 1))
comb1 <- comb_vars(data)
comb2 <- comb_vars(data, FUN = '*', order = 'second')
# }