Last data update: 2014.03.03

 R: Compute the S fit statistic for a set of items
SitemFitR Documentation

Compute the S fit statistic for a set of items

Description

Runs SitemFit1 for every item and accumulates the results.

Usage

SitemFit(grp, ..., method = "pearson", log = TRUE, qwidth = 6,
  qpoints = 49L, alt = FALSE, omit = 0L, .twotier = TRUE,
  .parallel = TRUE)

Arguments

grp

a list with spec, param, mean, cov, data, and the free variable pattern

...

Not used. Forces remaining arguments to be specified by name.

method

whether to use a pearson or rms test

log

whether to return pvalues in log units

qwidth

the positive width of the quadrature in Z units

qpoints

the number of quadrature points

alt

whether to include the item of interest in the denominator

omit

number of items to omit (a single number) or a list of the length the number of items

.twotier

whether to enable the two-tier optimization

.parallel

whether to take advantage of multiple CPUs (default TRUE)

Value

a list of output from SitemFit1

Examples

grp <- list(spec=list())
grp$spec[1:20] <- rpf.grm()
grp$param <- sapply(grp$spec, rpf.rparam)
colnames(grp$param) <- paste("i", 1:20, sep="")
grp$mean <- 0
grp$cov <- diag(1)
grp$free <- grp$param != 0
grp$data <- rpf.sample(500, grp=grp)
SitemFit(grp)

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO