describeratdata: Show various features of the SSrat dataframe

In SSrat: Two-Dimensional Sociometric Status Determination with Rating Scales

Description

describeratdata shows the following features: Number of unique school, number of unique groups of raters/assessed, and for each group, the school to which the group belongs, the group identifier, the ratings that are actually used, the count of assessors, the count of assessed, the number of missing ratings, the bias in the ratings, the number of ratings less than the midrating, the number of ratings equal to the midrating, the number of ratings larger than the midrating. Function describeratdata is useful for a first check of the ratings./cr N.B. Unavailable values (NA) on the diagonal are not counted as mssing ratings.

Usage

describeratdata(dataframe)

Arguments

dataframe

The dataframe should have the following columns: schoolid groupid respid, and for n raters the columns r01 .. rn, with a maximum of r99. Function readratdatafixed creates an appropriate data frame from a text file with ratings.

Value

A data.frame with for each group:

schoolid	The school identifier
groupid	The group identifier
scores	The scores that have been used by the raters
assessors	The number of assessors
assessed	The number of assessed
missing	The number of missing ratings, not counting the missings on the diagonal
bias	The bias in the ratings, defined as the mean of the ratings minus the midscore value (R)
ltR	The number of ratings, less than the midscore value (R)
R	The number of ratings, equal to the midscore value (R)
gtR	The number of ratings, greater than the midscore value (R)

Author(s)

Hans Landsheer

See Also

readratdatafixed

Examples

data(example6.rat)
describeratdata(example6.rat)
data(example7.rat)
describeratdata(example7.rat)
data(example1a.rat)
describeratdata(example1a.rat)

SSrat documentation built on May 2, 2019, 11:26 a.m.