Package index

All functions

aggregateData()

Aggregate Datasets With Several Kinds of Missing Values

automateDataPreparation()

Automate Data Preparation using Functions from Package eatPrep

catPbc()

Calculate Item Discrimination for Each Category of Categorical Variables

checkData()

Check Datasets for Missing Values and Invalid Codes

checkDesign()

Check Datasets for Deviations From Test Design

checkInputList()

Check InputList structure for internal consistency

collapseMissings()

Recode Character Missings of Different Types to 0 or NA

evalPbc()

Evaluate discrimination statistics

inputDat

List of Three Datasets from Educational Assessment

inputList

Data Frames with Code, Subunit and Unit Information for Datasets in inputDat

inputList

Data Frames with Code, Subunit and Unit Information for Datasets in inputDat

make.pseudo()

Transform ratings from real raters into pseudo ratings

meanAgree()

mean agreement among several raters

meanKappa()

Cohens kappa and Brennan/Predigers kappa among several raters

mergeData()

Merge Many Data Frames, Check For Inconsistencies, and Replace NA Values

mnrCoding()

Recode Missing by Intention to Missing not Reached

prep2GADS()

Convert eatPrep Data and Meta Info to GADSdat object as used in package eatGADS

rater

Variable ratings for 1287 examinees, 7 variables and 4 raters.

readDaemonXlsx()

Read xlsx-Files Produced by ZKDaemon

readMerkmalXlsx()

Read xlsx-Files Produced by IQB Item-DB named "Merkmalsauszug"

readSpss()

Read SPSS Data Files and Truncate Space in String Variables and Change Column Width

recodeData()

Recode Datasets with Several Kinds of Missing Values

scoreData()

Score Datasets with Several Kinds of Missing Values

visualSubsetRecode()

Inspect data subsets visually and recode instantaneously

writeSpss()

Export Datasets to SPSS