| compare_dependent_rs | R Documentation |
Compares whether two dependent correlations from the same sample are significantly different each other.
compare_dependent_rs( data = NULL, var_1_name = NULL, var_2_name = NULL, var_3_name = NULL, one_tailed = FALSE, round_r = 3, round_p = 3, round_t = 2, print_summary = TRUE, return_dt = FALSE )
data |
a data object (a data frame or a data.table) |
var_1_name |
name of the variable whose correlations with two other variables will be compared. |
var_2_name |
name of the first of the two variables whose
correlations with |
var_3_name |
name of the second of the two variables whose
correlations with |
one_tailed |
logical. Should the p value based on a one-tailed t-test? (default = FALSE) |
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) |
round_t |
number of decimal places to which to round the t-statistic (default = 2) |
print_summary |
logical. Should the summary be printed? (default = TRUE) |
return_dt |
logical. Should the function return a summary table as an output, as opposed to returning the output through the "invisible" function? (default = FALSE) |
Suppose that Variables A, B, and C are measured from a group of subjects. This function tests whether A is related to B differently than to C. Put differently, this function tests H0: r(A, B) = r(A, C)
For more information on formulas used in this function, please refer to Steiger (1980) \Sexpr[results=rd,stage=build]{tools:::Rd_expr_doi("10.1037/0033-2909.87.2.245")} and Chen & Popovich (2002) \Sexpr[results=rd,stage=build]{tools:::Rd_expr_doi("10.4135/9781412983808")}
the output will be a summary of the test comparing two dependent correlations
compare_dependent_rs( data = mtcars, var_1_name = "mpg", var_2_name = "hp", var_3_name = "wt")