Package index
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aggregateData() - Aggregate Datasets With Several Kinds of Missing Values
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automateDataPreparation() - Automate Data Preparation using Functions from Package eatPrep
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catPbc() - Calculate Item Discrimination for Each Category of Categorical Variables
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checkData() - Check Datasets for Missing Values and Invalid Codes
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checkDesign() - Check Datasets for Deviations From Test Design
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checkInputList() - Check InputList structure for internal consistency
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collapseMissings() - Recode Character Missings of Different Types to 0 or
NA -
computeCutsIDM() - Compute Cut Scores based on Rater's Monotonized Moving Averages
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computeCutsIDMMAPT() - Compute IDM Cut Scores Using MAPT-Style Logistic Regressions
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evalPbc() - Evaluate discrimination statistics
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inputDat - List of Three Datasets from Educational Assessment
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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
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meanAgree() - mean agreement among several raters
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meanKappa() - Cohens kappa and Brennan/Predigers kappa among several raters
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mergeData() - Merge Many Data Frames, Check For Inconsistencies, and Replace NA Values
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mnrCoding() - Recode Missing by Intention to Missing not Reached
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plotCutsIDM() - Plot IDM Cut Scores and Fitted Rating Functions
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plotPopulationCuts() - Plot Population Distributions with Supplied Cut Scores
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plotPopulationCutsIDM() - Plot Population Distributions from Plausible Values with IDM Cuts
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plotWrightMap() - Plot a Classical Wright Map from Item Difficulties and Plausible Values
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prep2GADS() - Convert eatPrep Data and Meta Info to
GADSdatobject as used in packageeatGADS -
rater - Variable ratings for 1287 examinees, 7 variables and 4 raters.
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readDaemonXlsx() - Read xlsx-Files Produced by ZKDaemon
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readMerkmalXlsx() - Read xlsx-Files Produced by IQB Item-DB named "Merkmalsauszug"
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readSpss() - Read SPSS Data Files and Truncate Space in String Variables and Change Column Width
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recodeData() - Recode Datasets with Several Kinds of Missing Values
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scoreData() - Score Datasets with Several Kinds of Missing Values
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summary(<cutsIDM>)print(<summary.cutsIDM>) - Summarize IDM Cut Score Objects
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summary(<cutsIDMMAPT>)print(<cutsIDMMAPT>)print(<summary.cutsIDMMAPT>) - Inspect MAPT Cuts and Fit Diagnostics
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visualSubsetRecode() - Inspect data subsets visually and recode instantaneously
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writeSpss() - Export Datasets to SPSS