pwc: Part-whole correlation for numeric data frames
In weirichs/eatTools: Miscellaneous Functions for the Analysis of Educational Assessments
pwc R Documentation
Part-whole correlation for numeric data frames
Description
Computes the part-whole correlation (correlation of an item
with the whole scale except for this item)
Usage
pwc(dat)
Arguments
dat
a data.frame with numeric columns (items)
Value
A data.frame with three columns: First column item identifier, second column with
conventional item-scale correlation, third column with part-whole correlation
Examples
dat <- data.frame ( item1 = c(0,1,1,3), item2 = c(2,3,1,3), item3 = c(1, NA, 3,3))
pwc(dat)
weirichs/eatTools documentation built on April 3, 2024, 6:11 p.m.
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| pwc | R Documentation |
Part-whole correlation for numeric data frames
Description
Computes the part-whole correlation (correlation of an item with the whole scale except for this item)
Usage
pwc(dat)
Arguments
dat |
a data.frame with numeric columns (items) |
Value
A data.frame with three columns: First column item identifier, second column with conventional item-scale correlation, third column with part-whole correlation
Examples
dat <- data.frame ( item1 = c(0,1,1,3), item2 = c(2,3,1,3), item3 = c(1, NA, 3,3))
pwc(dat)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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