View source: R/compare_independent_rs.R
compare_independent_rs | R Documentation |
Compares whether two correlations from two independent samples are significantly different each other. See Field et al. (2012, ISBN: 978-1-4462-0045-2).
compare_independent_rs(
r1 = NULL,
n1 = NULL,
r2 = NULL,
n2 = NULL,
one_tailed = FALSE,
round_p = 3,
round_z_diff = 2,
round_r = 2,
print_summary = TRUE,
output_type = NULL
)
r1 |
correlation in the first sample |
n1 |
size of the first sample |
r2 |
correlation in the second sample |
n2 |
size of the first sample |
one_tailed |
logical. Should the p value based on a one-tailed t-test? (default = FALSE) |
round_p |
(only for displaying purposes) number of decimal places to which to round the p-value (default = 3) |
round_z_diff |
(only for displaying purposes) number of decimal places to which to round the z-score (default = 2) |
round_r |
(only for displaying purposes) number of decimal places to which to round correlation coefficients (default = 2) |
print_summary |
logical. Should the summary be printed? (default = TRUE) |
output_type |
type of the output. If |
the output will be the results of a test comparing two independent correlations.
compare_independent_rs(r1 = .1, n1 = 100, r2 = .2, n2 = 200)
compare_independent_rs(
r1 = .1, n1 = 100, r2 = .2, n2 = 200, one_tailed = TRUE)
compare_independent_rs(r1 = .506, n1 = 52, r2 = .381, n2 = 51)
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