comb_vars: Pairwise combinations of variables

In TiagoOlivoto/WAASB: Multi Environment Trials Analysis

Pairwise combinations of variables

Description

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(s)

Tiago Olivoto [e-mail]

Examples

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')

TiagoOlivoto/WAASB documentation built on March 20, 2024, 4:18 p.m.