eatTools

Documentation for package ‘eatTools’ version 0.0.16

asNumericIfPossible	Convert Columns of a Data Frame Into Numeric Values If Possible
collapseMissings	Recode Character Missings of Different Types to 0 or 'NA'
commonItems	Identify Common Items for Several Groups
commonItems.percent	Identify Percentage of Common Items for Several Groups
crop	Remove Trailing and Leading Characters From Character Strings
dapply	apply a function on data.frame
fill.na	Replace Missing Values in a Vector
make.dummies	Create Dummy Variables from a Data Frame
modus	Compute the Mode of a Variable
multiseq	multiple sequences
reading_writing	Reading and writing achievement test data
reinsort.col	Insert Columns into a Data Frame in a Specific Position
rmNA	Remove Columns and Rows with Missing Data
rmNAcols	Remove Columns with Missing Data
rmNArows	remove NA rows from data
science1	Science achievement test data
science1.context.vars	Science achievement test data - Context variable names
science1.item.characteristics	Science achievement test data - Item characteristics
science1.items	Science achievement test data - Item names
science1.scales	Science achievement test data - Scale definition
science1.testlets	Science achievement test data - Testlet definition as dummy codes
set.col.type	Set the Class of Columns in a Data Frame
shade.between.lines	draw a shade between two lines in ggplot2