summation.estimator

compute an estimate of the respondents' degrees using the summation method

Usage

summation.estimator(survey.data, sum.q = NULL, missing = "ignore")

Arguments

survey.data

the dataframe with the survey results

sum.q

if not NULL, a vector whose entries are the variable names in the dataset corresponding to each summation question. if NULL, then assume that the survey.data dataframe has an attribute called 'sum.qs' containing this vector.

missing

if "ignore", then proceed with the analysis without doing anything about missing values. other options are not yet implemented.

Value

a vector with an estimate of the degree for each row in survey.data. if na.rm=TRUE, then the degree for rows that have missingness in the summation questions will be set to NA

Details

TODO – cite summation method ref

Note that the summation degree estimator for the case where there is missing data is not yet implemented. (In fact, I don't think that there is a known estimator for this case.)