Description Usage Arguments Value Author(s) Examples
Checks whether items in a dataset are linked via design. This may be useful in multiple matrix sampling designs.
1 |
dat |
A data.frame where all columns denote test items |
remove.non.responser |
logical: Should cases with missings on all items be deleted? |
na |
character string specifying values to be treat as missing by design |
verbose |
logical: Should output printed to console? |
A logical value, i.e. TRUE
or FALSE
, indicating whether items in dataset are linked to each other.
Sebastian Weirich
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | dat <- data.frame(item01 = c(1,0,NA,NA,NA), item02 = c(NA,NA,1,0,0), item03 = c(1,NA,NA,NA,NA) )
result <- checkLink(dat)
dat <- data.frame(dat, item04 = c(0, NA,NA,NA,1) )
result <- checkLink(dat)
# checkLink for each dimension in science1
data(science1)
results <- by (data = science1.item.characteristics, INDICES = science1.item.characteristics$scale, FUN = function ( scales ) {
collapsed <- collapseMissings(science1[,scales$item])
results <- checkLink(collapsed)
})
# However, if only persons which anwered at least one item are considered
results <- by (data = science1.item.characteristics, INDICES = science1.item.characteristics$scale, FUN = function ( scales ) {
collapsed <- collapseMissings(science1[,scales$item])
results <- checkLink(collapsed, remove.non.responser = TRUE)
})
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