Standardization of Raw Discrete Questionnaire Scores
Attach additional StandardScale to already created ScoreTable
Pick up standarized value from ScoringTable
Combined Scale Specification
R6 class for producing easily re-computable ScoreTable
Default Standard Scales
Export scale specification
Export ScoringTable
Extract observations from data
Create a FrequencyTable
Assign to groups based on GroupConditions
Conditions for observation grouping
Create GroupedFrequencyTable
Create GroupedScoreTable
Handle retain columns
Import scale specification
Import ScoringTable
Intersect two GroupAssignment
Checkers for stenR S3 and R6 classes
Mockup NA table
Normalize raw scores
Normalize raw scores for multiple variables
Normalize scores using GroupedFrequencyTables or GroupedScoreTables
Normalize scores using ScoringTables
Gerenic plot of the GroupedFrequencyTable
Gerenic plot of the GroupedScoreTable
Qualify observations to groups for normalization
Scale Specification object
Create a ScoreTable
Create ScoringTable
Generate FrequencyTable using simulated distribution
Specify standard scale
Revert the ScoreTable back to FrequencyTable object.
Sum up discrete raw data
Internal function to verify the provided conditions with conditions av...
An user-friendly framework to preprocess raw item scores of questionnaires into factors or scores and standardize them. Standardization can be made either by their normalization in representative sample, or by import of premade scoring table.