Standardization of Raw Discrete Questionnaire Scores

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Documentation for package ‘stenR’ version 0.6.9

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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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