ds_mc: Multiple choice data analysis

In dualScale: Dual Scaling Analysis of Data

Multiple choice data analysis

Description

Multiple choice data analysis

Usage

ds_mc(input, solutions = NULL, mode = c("rad", "act"))

Arguments

input	A data set with valid data
solutions	Optional argument. A number of intended solutions
mode	Optional argument. In case of NA values, the action to be taken. See help("ds_mc_check") for more information. Radical action by default.

Value

call	Call with all of the specified arguments are specified by their full names
orig_data	Initial data
item_op_lbl	Item options labels
sub_lbl	Subjects options labels
solutions	Maximum possible solutions
out	Results obtained
item_stat	Item statistics
info	Distribution of component
rij	Inter item correlation
proj_opt	Projected option weights
proj_sub	Projected subject scores
norm_opt	Normed option weights
norm_sub	Normed subject scores

See Also

ds_mc_check()

Examples

ds_mc(singaporean)
ds_mc(singaporean, solutions = 2)

dualScale documentation built on Nov. 9, 2023, 9:07 a.m.