Miscellaneous Functions for the Analysis of Educational Assessments

Documentation for package ‘eatTools’ version 0.3.6

asNumericIfPossible	Convert a Vector or Data Frame Into Numeric Values If Possible
catch_asNumericIfPossible	Use 'asNumericIfPossible' with modified warning.
contr.wec.weighted	Calculates contrasts for a weighted factor variable based on weighted effect coding
crop	Remove Trailing and Leading Characters From Character Strings
descr	Descriptive statistics for one or several variables
eatTools	eatTools: Miscellaneous Functions for the Analysis of Educational Assessments
existsBackgroundVariables	Internally needed function for consistency checks and data preparation.
facToChar	Transform columns in a data frame
gsubAll	Pattern matching and replacement
halveString	Split string exactly in two parts
insert.col	Insert Columns into a Data Frame in a Specific Position
multiseq	multiple sequences
num.to.cat	Transform continuous variables into ordered factors
removeNonNumeric	Removes all non-numeric characters from a string.
removeNumeric	Removes alphanumeric characters from a string.
removePattern	Removes a specified pattern from a string.
set.col.type	Set the Class of Columns in a Data Frame
tablePattern	Creates skeleton for frequency tables with desired values
tableUnlist	Frequency table for data frames, e.g. across multiple columns
whereAre	Matches a scalar with elements of a vector.
wideToLong	Transform wide format data sets into the long format necessary for 'eatRep' analyses
wtdTable	Computed weighted frequency tables
wtdVar	Computed weighted variance