cor_test: Correlation Test for Two Continuous Variables
In z2thet/MoffittFunctions: Moffitt Functions

Description Usage Arguments Details Value Examples

View source: R/statistical_tests_and_estimates.R

A wrapper for cor.test function, except if spearman selected and ties in at least one variable, in which case this is a wrapper for coin::spreaman_test in with approximate method.

cor_test(
  x,
  y,
  method = c("pearson", "kendall", "spearman"),
  seed = 68954857,
  B = 10000,
  exact = TRUE,
  verbose = FALSE
)

`x`	numeric vector (can include NA values)
`y`	numeric vector (can include NA values)
`method`	a character string indicating which correlation coefficient is to be used for the test. One of "pearson", "kendall", or "spearman", can be abbreviated
`seed`	seed (only used if `method = "spearman"`)
`B`	number of reps (only used if `method = "spearman"`)
`exact`	Should exact method be used. Ingorned it `method = "spearman"` and ties present
`verbose`	a logical variable indicating if warnings and messages should be displayed

To always get reproducible results when using approximate method we need to set seed inside of the call, and order the data

spearman_test pvalue

set.seed(5432322)
x <- rnorm(20,0,3)
y <- x + rnorm(20,0,5)
cor_test(x,y, method = 'pearson')
cor_test(x,y, method = 'kendall')
cor_test(x,y, method = 'spearman')