reQ: Forced Q-Sort Distribution
In multicon: Multivariate Constructs

Description Usage Arguments Details Value Author(s) References See Also Examples

Replace the values in x with the distribution of values defined by dist.

1	reQ(x, dist, ties = "random")

`x`	A data.frame, matrix, or numeric vector containing the values to be reQ'd. It is assumed that the rows are to be reQ'd if a matrix or data.frame is given.
`dist`	A numeric vector whose sum must be equal to the length of x. The Q values are assumed to be from 1 to length(dist). The values in dist indicate the number of times each Q value is to be used.
`ties`	A character element passed to the `rank` function indicating how ties should be broken.

This function takes a vector of data and "normalizes" it by forcing it to fit a Q-sort distributon (see Block, 1978 for information on the Q-sort method).

Returns a vector of size x containing data that has been normalized to fit a Q-Sort Distributions

Ryne A. Sherman

Block, J. (1978). The Q-Sort method in personality assessment and psychiatric research. Palo Alto, CA: Consulting Psychologists Press. (Originally published 1961).

ipsatize rank

data(rate.caq)
head(rate.caq)
rowMeans(rate.caq)
caq.dist = c(5,8,12,16,18,16,12,8,5)
caq.reQ = reQ(rate.caq, dist = caq.dist)
head(caq.reQ)
rowMeans(caq.reQ)