sample_n_random_cor: Generate a null distribution of correlation values
| sample_n_random_cor | R Documentation |
Generate a null distribution of correlation values
Description
Selects n random rows from a numeric matrix with replacement. For each random row, permute vector y and perform correlation.
Usage
sample_n_random_cor(X, y, n = 10000, ...)
Arguments
X |
numeric matrix or data.frame that can be converted to numeric matrix. |
y |
numeric vector. Numeric vector of values used to correlate with each row of df |
n |
integer. Number of random correlations to return. Default (1e4) |
... |
Additional arguments passed to 'cor' function |
Value
numeric vector of correlation values. Vector can contain NAs if row variance == 0.
Examples
# generate example data
X <- matrix(runif(1e3 * 6), nrow = 1e3, ncol = 6)
y <- 1:6
dimnames(X) <- list(paste("feature", 1:1e3, sep = "."), paste("sample", 1:6, sep = "."))
# sample random correlations from permuted data
null_dist <- sample_n_random_cor(X, y, n = 1e3, method = "spearman")
head(null_dist)
