| example4.rat {SSrat} | R Documentation |
Example 4 of rating data with some missing data
Description
The result of readratdatafixed("<example4.rat.txt>"). A 7-point
rating scale has been used. Numbers of assessors and assessed are equal
(10). Each respondent is identified by a schoolid, a group id and a
respondent id. The rows contain the assessors, the columns contain the
assessed. When rater equals ratee (diagonal), the rating is NA.
Format
A data frame with 10 observations of 9 ratings; some of the ratings are missing.
- schoolid
a numeric vector, identifying the second group level
- groupid
a numeric vector, identifying the first group level.
- respid
a numeric vector, identifying the individual.
- r01
ratings received by respondent 1.
- r02
ratings received by respondent 2.
- r03
ratings received by respondent 3.
- r04
ratings received by respondent 4.
- r05
ratings received by respondent 5.
- r06
ratings received by respondent 6.
- r07
ratings received by respondent 7.
- r08
ratings received by respondent 8.
- r09
ratings received by respondent 9.
- r10
ratings received by respondent 10.
Note
Rating data can be entered directly into a SSrat compliant dataframe,
using edit. Colums needed are: "schoolid", "groupid",
"respid", and for <n> raters "r01", "r02".."r<n>". Optionally, a column
named "resplabel" can be entered, containing an additional identifier of the
raters/assessed. The raters (assessors) are in rows and assessed in columns.
For example:
mydata=data.frame(schoolid=numeric(0), groupid=numeric(0),
respid=numeric(0),
r01=numeric(0), r02=numeric(0), r03=numeric(0));
mydata=edit(mydata)
See Also
readratdatafixed example1.rat
example1a.rat example2.rat
example3.rat
example5.rat example6.rat
example7.rat klas2.rat
Examples
data(example4.rat)