Description Usage Arguments Details Value Author(s) References See Also Examples
Computes n1 for the Forward Search for Mokken scale analysis
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X |
Matrix or data frame of numeric data containing the responses of |
B |
Integer giving the number of Forward Searches with different initial subsamples. |
cutoff |
Integer, the first step of the Forward Search for which the number of unique subsamples is below the |
initial.subsample.size |
Integer giving the size of the initial subsample.
By default |
minsize |
Integer giving the minimum size of a rest score group. By default
|
seed |
Numeric; fixes the random number generation |
verbose |
Logical, indicating whether |
Function fs.MSA.n1
computes the required input for the forward plot (plot.fs.n1.class
).
Therefore, its values should be assigned to an object.
B
should at least be larger than cutoff
, preferably B
≥ 100.
Large values of B
may take much computation time.
number.unique.subsamples
. The number of unique subsamples at each step of the Forward Search.
n1
. The first step for which the number of unique subsamples is below the cutoff.
W. P. Zijlstra w.p.zijlstra@uvt.nl
Zijlstra, W. P., Van der Ark, L. A., and Sijtsma, K. (2011). Robust Mokken scale analysis by means of the forward search algorithm for outlier detection. Multivariate Behavioral Research, 46, 58-89.
plot.fs.n1.class
, fs.MSA
, plot.fs.class
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