dendrify: Measurement Mapping for an IRTree Model
In irtrees: Estimation of Tree-Based Item Response Models

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

Expands a wide-form matrix of item responses to a long-form data frame of sub-item responses

1	dendrify(mat, cmx)

`mat`	An integer matrix of IRT responses (columns represent items, rows represent respondents)
`cmx`	A mapping matrix with as many rows as there are response options for the items.

A data frame with one row per sub-item response

Ivailo Partchev

De Boeck, P. and Partchev, I. (2012). IRTrees: Tree-Based Item Response Models of the GLMM Family, Journal of Statistical Software – Code Snippets, 48(1), 1–28. https://www.jstatsoft.org/v48/c01/.

exogenize

1 2	mapping <- cbind(c(0,1,1), c(NA,0,1)) str(linrespT <- dendrify(linresp, mapping))

'data.frame':	5325 obs. of  5 variables:
 $ value : num  1 1 1 1 1 1 1 1 1 1 ...
 $ item  : Factor w/ 10 levels "i01","i02","i03",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ person: Factor w/ 300 levels "p001","p002",..: 1 2 3 4 5 6 7 8 9 10 ...
 $ node  : Factor w/ 2 levels "node1","node2": 1 1 1 1 1 1 1 1 1 1 ...
 $ sub   : Factor w/ 20 levels "i01:node1","i01:node2",..: 1 1 1 1 1 1 1 1 1 1 ...