npp {irtoys} | R Documentation |
Non-parametric characteristic curves
Description
A plotting routine producing non-parametric analogues of the IRF not unlike
those in Jim Ramsay's TestGraf program. The curves are produced by a kernel
binomial regression of the actual responses to an item on some estimates of
the latent variable, by courtesy of package sm
.
Usage
npp(
resp,
x,
items,
from = -4,
to = 4,
co = 1,
main = "Non-parametric response function",
add = FALSE,
bands = FALSE,
label = FALSE
)
Arguments
resp |
A matrix of responses: persons as rows, items as columns, entries are either 0 or 1, no missing data |
x |
The values of the latent variable ("ability") for the same persons
whose responses are given in |
items |
An index to the items (columns of |
from |
Lower limit for ability on the plot. Default is -4. |
to |
Upper limit for ability on the plot. Default is 4. |
co |
The colour of the curves. Default is 1 for black. Use |
main |
The main title of the plot, given that |
add |
When |
bands |
When |
label |
When |
Author(s)
Ivailo Partchev
References
James O. Ramsay (2000). TestGraf: A program for the graphical analysis of multiple choice test and questionnaire data. McGill University, Montreal, Canada
See Also
Examples
# plot items 1:5 in different colours, label
npp(Scored, items=1:5, co=NA, label=TRUE)
# For item 7, compare npp with the 2PL parametric IRF
npp(Scored, items=7, bands=TRUE)
plot(irf(ip=Scored2pl, items=7), co=3, add=TRUE)