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#' @include utilities.R
NULL
#' Replace Correlation Coefficients by Symbols
#'
#' @description Take a correlation matrix and replace the correlation coefficients by symbols according to the
#' level of the correlation.
#' @param x a correlation matrix. Particularly, an object of class \code{cor_mat}.
#' @param cutpoints numeric vector used for intervals. Default values are
#' \code{c(0, 0.25, 0.5, 0.75, 1)}.
#' @param symbols character vector, one shorter than cutpoints, used as
#' correlation coefficient symbols. Default values are \code{c(" ", ".", "+",
#' "*")}.
#' @seealso \code{\link{cor_mat}()}
#' @examples
#' # Compute correlation matrix
#' #::::::::::::::::::::::::::::::::::::::::::
#' cor.mat <- mtcars %>%
#' select(mpg, disp, hp, drat, wt, qsec) %>%
#' cor_mat()
#'
#' # Replace correlation coefficient by symbols
#' #::::::::::::::::::::::::::::::::::::::::::
#' cor.mat %>%
#' cor_as_symbols() %>%
#' pull_lower_triangle()
#'
#' @name cor_as_symbols
#' @export
cor_as_symbols <- function( x, cutpoints = c(0, 0.25, 0.5, 0.75, 1),
symbols = c(" ", ".", "+", "*"))
{
if(inherits(x, "cor_mat_tri")){
cor.mat <- x %>%
replace_empty_by(0) %>%
as_numeric_triangle() %>%
as_matrix()
}
else{
cor.mat <- as_matrix(x)
}
res <- stats::symnum(
abs(cor.mat), cutpoints = cutpoints, symbols = symbols,
abbr.colnames = FALSE
) %>%
structure(class = "matrix") %>% # overwrite "noquote" class
matrix_to_dataframe() %>%
add_class(c("data.frame", "tbl_df"))
pvalue <- attr(x, "pvalue")
if(!is.null(pvalue)){
res <- res %>%
set_attrs(pvalue = pvalue) %>%
add_class("cor_mat")
}
res
}
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