Miscellaneous Functions for the Analysis of Educational Assessments

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Documentation for package ‘eatTools’ version 0.7.9

• DESCRIPTION file.
• Package NEWS.

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eatTools-package	eatTools: Miscellaneous Functions for the Analysis of Educational Assessments
%$$%	Extract Parts of an Object (list)
addLeadingZerosToCharInt	Add leading zeros to all columns that can be identified as integers in a character data.frame
asNumericIfPossible	Convert a Vector, Matrix or Data Frame Into Numeric Values If Possible
catch_asNumericIfPossible	Use 'asNumericIfPossible' with modified warning.
checkBackgroundVariables	Internally needed function for consistency checks and data preparation.
cleanifyString	Removes special characters
contr.wec.weighted	Calculates contrasts for a weighted factor variable based on weighted effect coding
crop	Remove Trailing and Leading Characters From Character Strings
data.timss1	Example dataset TIMSS 2011
descr	Descriptive statistics for one or several variables
do_call_rbind_withName	Row bind a list while assigning names to rows
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' at a Specific Position
makeDataFrame	Converts 'tbl' or 'data.table' objects to plain 'data.frames' for internal processing
makeTria	Reshapes an unordered covariance/correlation matrix into triangular shape
mergeAttr	Merge Two Data Frames with additional messages and maintain variable attributes
multiseq	multiple sequences
na_omit_selection	Drop rows containing missing values
num.to.cat	Transform continuous variables into ordered factors
print_and_capture	Easy integration of (small) tables into (error) messages
pwc	Part-whole correlation for numeric data frames
rbind_common	Combine data.frames by row, using only common columns.
rbind_fill_vector	Combine vectors of unequal length by row, filling missing columns with NA.
readMultisep	Read in data.frames with separator characters >=1Byte
recodeLookup	Recode a variable according to a lookup table
removeNonNumeric	Removes all non-numeric characters from a string.
removeNumeric	Removes alphanumeric characters from a string.
removePattern	Removes a specified pattern from a string.
roundDF	Round a 'data.frame'.
seq2	Sequence generation
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