classifyItems | R Documentation |
Automatically classify the items in a data frame.
classifyItems(
fm,
Df,
min.loading = 0.4,
max.loading = 0.3,
max.complexity = 2,
itemlength = 0,
digits = 2,
Df.name = deparse(substitute(Df)),
return.res = FALSE
)
fm |
a factor model fitted by psych::fa or principal components computed with psych::principal |
Df |
a data frame containing the items |
min.loading |
minimum loading of an item to be considered a marker of a factor |
max.loading |
maximum loading of an item on a secondary factor (i.e., the factor on which the items has its second highest loading) to be considered a marker for the primary factor (i.e., the factor on which the items has its highest loading) |
max.complexity |
maximum complexity of an item to be considered a marker item. This is only used for factor models (not for principal components) |
itemlength |
trim item text to given number characters (0 = automatic trimming) |
digits |
number of digits used in the output |
Df.name |
name of data frame |
return.res |
(logical) if TRUE, return output as a list of data frames instead of simply printing the output. This is used by Iana to render the output via renderTable(). |
Michael Hock michael.hock@uni-bamberg.de
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