checkMIS {prefmod}R Documentation

Function to check/report missing values in paired comparison studies

Description

For a given paired comparisons data set the function calculates and prints the number of missing comparisons and the number of times objects are missing. It can also be used to avoid failure of nonresponse-parameter for nonresponse models in

Usage

checkMIS(obj, nitems, verbose = FALSE)

Arguments

obj dataframe or datafile path/name (like pattPC.fit).
nitems the number of compared objects, not the number of comparisons (like pattPC.fit).
verbose if TRUE printed output, otherwise only invisible output to be used, e.g., in the specification of MISalpha in pattPC.fit.

Value

a logical vector (returned invisibly) specifying for which object there are NA responses in the data (obj).

See Also

pattPC.fit

Examples

## no missing NAs in dataset dat4

data(dat4)
checkMIS(dat4,nitems=4,verbose=TRUE)

## generates data set with three items and some missing values
## in comparison (23), column 3, then there are no NAs for
## object 1
data3<-dat4[,1:3]
idx3<-sample(1:100,10)
data3[idx3,3]<-NA
checkMIS(data3,nitems=3,verbose=TRUE)

## estimate MCAR PC pattern model for data3 with NA indicators
## alpha1 cannot be estimated being accomodated by using checkMIS

pattPC.fit(data3, nitems=3, MISalpha=checkMIS(data3,nitems=3))

[Package prefmod version 0.8-13 Index]