aggregateData |
Aggregate Datasets With Several Kinds of Missing Values |
asNumericIfPossible |
Convert Columns of a Data Frame Into Numeric Values if Possible |
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 |
collapseMissings |
Recode Character Missings of Different Types to 0 or 'NA' |
inputDat |
List of Three Datasets from Educational Assessment |
inputList |
Data Frames with Code, Subunit and Unit Information for Datasets in 'inputDat' |
mergeData |
Merge Data Frames, Check For Inconsistencies, and Replace NA Values |
mnrCoding |
Recode Missing by Intention to Missing not Reached |
readDaemonXlsx |
Read xlsx-Files Produced by ZKDaemon |
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 |
set.col.type |
Set the Class of Columns in a Data Frame |
writeSpss |
Export Datasets to SPSS |