R: Standardization of Raw Discrete Questionnaire Scores

# Standardization of Raw Discrete Questionnaire Scores

## Documentation for package ‘stenR’ version 0.6.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

as.data.frame.GroupConditions | Conditions for observation grouping
attach_scales | Attach additional StandardScale to already created ScoreTable
CombScaleSpec | Combined Scale Specification
CompScoreTable | R6 class for producing easily re-computable ScoreTable
default_scales | Default Standard Scales
export_ScaleSpec | Export scale specification
export_ScoringTable | Export ScoringTable
extract_observations | Extract observations from data
FrequencyTable | Create a FrequencyTable
GroupAssignment | Assign to groups based on GroupConditions
GroupConditions | Conditions for observation grouping
GroupedFrequencyTable | Create GroupedFrequencyTable
GroupedScoreTable | Create GroupedScoreTable
HEXACO_60 | Sample data of HEXACO-60 questionnaire results
import_ScaleSpec | Import scale specification
import_ScoringTable | Import ScoringTable
intersect_GroupAssignment | Intersect two GroupAssignment
IPIP_NEO_300 | Sample data of IPIP-NEO-300 questionnaire results
is.CombScaleSpec | Checkers for stenR S3 and R6 classes
is.FrequencyTable | Checkers for stenR S3 and R6 classes
is.GroupAssignment | Checkers for stenR S3 and R6 classes
is.GroupConditions | Checkers for stenR S3 and R6 classes
is.GroupedFrequencyTable | Checkers for stenR S3 and R6 classes
is.GroupedScoreTable | Checkers for stenR S3 and R6 classes
is.intersected | Checkers for stenR S3 and R6 classes
is.ScaleSpec | Checkers for stenR S3 and R6 classes
is.ScoreTable | Checkers for stenR S3 and R6 classes
is.ScoringTable | Checkers for stenR S3 and R6 classes
is.Simulated | Checkers for stenR S3 and R6 classes
is.StandardScale | Checkers for stenR S3 and R6 classes
is_stenR_classes | Checkers for stenR S3 and R6 classes
normalize_score | Normalize raw scores
normalize_scores_df | Normalize raw scores for multiple variables
normalize_scores_grouped | Normalize scores using GroupedFrequencyTables or GroupedScoreTables
normalize_scores_scoring | Normalize scores using ScoringTables
plot.FrequencyTable | Create a FrequencyTable
plot.GroupedFrequencyTable | Gerenic plot of the GroupedFrequencyTable
plot.GroupedScoreTable | Gerenic plot of the GroupedScoreTable
plot.ScoreTable | Create a ScoreTable
plot.StandardScale | Specify standard scale
print.CombScaleSpec | Combined Scale Specification
print.FrequencyTable | Create a FrequencyTable
print.GroupAssignment | Assign to groups based on GroupConditions
print.GroupConditions | Conditions for observation grouping
print.GroupedFrequencyTable | Create GroupedFrequencyTable
print.GroupedScoreTable | Create GroupedScoreTable
print.ScaleSpec | Scale Specification object
print.ScoreTable | Create a ScoreTable
print.StandardScale | Specify standard scale
ScaleSpec | Scale Specification object
ScoreTable | Create a ScoreTable
SimFrequencyTable | Generate FrequencyTable using simulated distribution
SLCS | Sample data of SLCS questionnaire results
StandardScale | Specify standard scale
STANINE | Default Standard Scales
STEN | Default Standard Scales
strip_ScoreTable | Revert the ScoreTable back to FrequencyTable object.
summary.CombScaleSpec | Combined Scale Specification
summary.FrequencyTable | Create a FrequencyTable
summary.GroupAssignment | Assign to groups based on GroupConditions
summary.GroupedFrequencyTable | Create GroupedFrequencyTable
summary.ScaleSpec | Scale Specification object
summary.ScoringTable | Create ScoringTable
sum_items_to_scale | Sum up discrete raw data
TANINE | Default Standard Scales
TETRONIC | Default Standard Scales
to_ScoringTable | Create ScoringTable
to_ScoringTable.GroupedScoreTable | Create ScoringTable
to_ScoringTable.ScoreTable | Create ScoringTable
WECHSLER_IQ | Default Standard Scales