Package index • eatTools

All functions

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

eatTools-package: 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 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

`%$$%`: Extract Parts of an Object (list)

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