plot.DIF_stats | R Documentation |
plot method for pairwise DIF statistics
## S3 method for class 'DIF_stats'
plot(
x,
items = NULL,
itemsX = items,
itemsY = items,
cluster = FALSE,
alpha = 0.05,
...
)
x |
object produced by |
items |
character vector of item id's for a subset of the plot. Useful if you have many items. If NULL all items are plotted. |
itemsX |
character vector of item id's for the X axis |
itemsY |
character vector of item id's for the Y axis |
cluster |
arrange items by similarity. |
alpha |
significance level used to color the plot (two sided) |
... |
further arguments to plot |
Plotting produces an image of the matrix of pairwise DIF statistics. The statistics are standard normal deviates and colored to distinguish significant from non-significant values. If there is no DIF, a proportion alpha off the cells will be colored significant by chance alone.
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