plot.itemfit {GDINA} | R Documentation |
Item fit plots
Description
Create plots of bivariate heatmap for item fit
Usage
## S3 method for class 'itemfit'
plot(x, type = "all", adjusted = TRUE, ...)
Arguments
x |
model object of class |
type |
type of heatmap plot |
adjusted |
logical; plot adjusted or unadjusted p-values? |
... |
additional arguments |
See Also
Examples
## Not run:
dat <- sim10GDINA$simdat
Q <- sim10GDINA$simQ
fit <- GDINA(dat = dat, Q = Q, model = "GDINA")
ift <- itemfit(fit)
# plot the adjusted p values for log odds or transformed correlation
plot(ift)
# plot unadjusted p values for log odds
plot(ift,adjusted = FALSE, type = "logOR")
## End(Not run)
[Package GDINA version 2.9.4 Index]