correlation_matrix function

correlation matrix

Creates a correlation matrix

correlation_matrix(
  data = NULL,
  var_names = NULL,
  row_var_names = NULL,
  col_var_names = NULL,
  round_r = 2,
  round_p = 3,
  output_type = "rp",
  numbered_cols = NULL
)

Arguments

• data: a data object (a data frame or a data.table)
• var_names: names of the variables for which to calculate all pairwise correlations
• row_var_names: names of the variables that will go on the rows of the correlation matrix
• col_var_names: names of the variables that will go on the columns of the correlation matrix
• round_r: number of decimal places to which to round correlation coefficients (default = 2)
• round_p: number of decimal places to which to round p-values (default = 3)
• output_type: which value should be filled in cells of the correlation matrix? If output_type = "r", correlation coefficients; if output_type = "p", p-values; if output_type = "rp", correlation coefficients with significance symbols based on p-values; if output_type = "n", sizes of the samples used to calculate the correlation coefficients. By default, output_type = "rp"
• numbered_cols: logical. If numbered_cols == TRUE and if identical(row_var_names, col_var_names) == TRUE, then the columns will be numbered instead of containing variable names.

Returns

the output will be a correlation matrix in a data.table format

Examples

correlation_matrix(data = mtcars, var_names = c("mpg", "cyl", "wt"))
correlation_matrix(data = mtcars,
row_var_names = c("mpg", "cyl", "hp"), col_var_names = c("wt", "am"))
correlation_matrix(
data = mtcars, var_names = c("mpg", "cyl", "wt"),
numbered_cols = FALSE)
correlation_matrix(
data = mtcars, var_names = c("mpg", "cyl", "wt"), output_type = "r")