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eatTools

eatTools contains various functions required for R packages eatModel, eatRep, eatPrep and eatGADS. Most functions are related to data preparation, cleaning, descriptive analyses and weighted statistics.

Installation

# Install stable version from CRAN via
install.packages("eatTools")

# Install development version from GitHub via
devtools::install_github("weirichs/eatTools")

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Version

Install

install.packages('eatTools')

Monthly Downloads

697

Version

0.7.10

License

GPL (>= 2)

Issues

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Repository

https://github.com/weirichs/eatTools

Homepage

https://weirichs.github.io/eatTools/

Maintainer

Sebastian Weirich

Last Published

September 25th, 2026

Functions in eatTools (0.7.10)

multiple sequences

Split string exactly in two parts

removeNonNumeric

Removes all non-numeric characters from a string.

Sequence generation

Recode a variable according to a lookup table

Round a data.frame.

na_omit_selection

Drop rows containing missing values

Frequency table for data frames, e.g. across multiple columns

Matches a scalar with elements of a vector.

Insert Columns into a data.frame at a Specific Position

Computed weighted variance

Transform continuous variables into ordered factors

Set the Class of Columns in a Data Frame

Creates skeleton for frequency tables with desired values

rbind_fill_vector

Combine vectors of unequal length by row, filling missing columns with NA.

Transform wide format data sets into the long format necessary for eatRep analyses

Read in data.frames with separator characters >=1Byte

Extract Parts of an Object (list)

print_and_capture

Easy integration of (small) tables into (error) messages

Computed weighted frequency tables

Removes alphanumeric characters from a string.

Removes a specified pattern from a string.

do_call_rbind_withName

Row bind a list while assigning names to rows

catch_asNumericIfPossible

Use asNumericIfPossible with modified warning.

checkBackgroundVariables

Internally needed function for consistency checks and data preparation.

Remove Trailing and Leading Characters From Character Strings

Removes special characters

asNumericIfPossible

Convert a Vector, Matrix or Data Frame Into Numeric Values If Possible

Example dataset TIMSS 2011

addLeadingZerosToCharInt

Add leading zeros to all columns that can be identified as integers in a character data.frame

contr.wec.weighted

Calculates contrasts for a weighted factor variable based on weighted effect coding

Descriptive statistics for one or several variables

Transform columns in a data frame

Merge Two Data Frames with additional messages and maintain variable attributes

Converts tbl or data.table objects to plain data.frames for internal processing

Pattern matching and replacement

Reshapes an unordered covariance/correlation matrix into triangular shape

eatTools-package

eatTools: Miscellaneous Functions for the Analysis of Educational Assessments

existsBackgroundVariables

Internally needed function for consistency checks and data preparation.

Combine data.frames by row, using only common columns.

Part-whole correlation for numeric data frames