rcor.test {ltm} | R Documentation |
Pairwise Associations between Items using a Correlation Coefficient
Description
Computes and tests the pairwise associations between items using a correlation coefficient
Usage
rcor.test(mat, p.adjust = FALSE, p.adjust.method = "holm", ...)
Arguments
mat |
a numeric |
p.adjust |
logical; if |
p.adjust.method |
the |
... |
extra arguments passed to |
Value
An object of class rcor.test
with components,
cor.mat |
the correlation matrix. |
p.values |
a three column numeric matrix containing the |
The print method for class rcor.test
returns a square matrix in which the upper diagonal part contains
the estimates of the correlation coefficients, and the lower diagonal part contains the corresponding p
-values.
Note
rcor.test()
is more appropriate for informal testing of association between polytomous items.
Author(s)
Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl
Examples
## pairwise associations for Environment data:
rcor.test(data.matrix(Environment), method = "kendall")
## pairwise associations for independent normal random variates:
mat <- matrix(rnorm(1000), 100, 10, dimnames = list(NULL, LETTERS[1:10]))
rcor.test(mat)
rcor.test(mat, method = "kendall")
rcor.test(mat, method = "spearman")