readme.md

In svannoy/lsr-package: Companion Package to "Learning Statistics with R"

R package: "lsr"

Description

The lsr package is the package associated with my introductory statistics class lecture notes, Learning Statistics with R. The package contains a number of convenience functions and simple statistical tools that I've found are handy for beginners to have access to.

Version

The current version on CRAN is 0.3.2. The repository files represent the current state of 0.5, to correspond with version 0.5 of the book

Installation

From CRAN

The easiest way to use any of the functions in the lsr package is to install the CRAN version. The CRAN page for the package is here. It has no dependencies on any packages (other than those that are distributed as the R core, obviously), and can be installed from within R using the command:

install.packages("lsr")

From bitbucket

The devtools package contains functions that allow you to install R packages directly from bitbucket or github. If you've installed and loaded the devtools package, the installation command is

install_bitbucket("lsr-package","dannavarro")

Package contents

Each function can be found in a separate file, with the usual .R extension. Some minimal documentation and commenting can be found in the source code, but as usual the most extensive help information is in the .Rd file associated with each function.

Descriptive statistics

• aad Mean (average) absolute deviation from the mean
• maxFreq Frequency of the sample mode
• modeOf Sample mode
• quantileCut Cut a variable into several equally sized categories
• correlate Compute a correlation matrix

Plotting functions

• bars Bar plots with confidence intervals, grouped by one or two factors

Effect size calculations

• cohensD Cohen's d measure of effect size for t-tests
• cramersV Cramer's V measure of effect size for chi-square tests
• etaSquared Effect size calculations for ANOVAs (handles Type I, II and III)

Other inferential statistics

• ciMean Compute a standard (i.e. normal) confidence interval around the sample mean
• standardCoefs Compute standardised regression coefficients for a linear model
• posthocPairwiseT Convenience function for running post-hoc pairwise t-tests for ANOVA
• oneSampleTTest Convenience function for running one-sample t-test
• pairedSamplesTTest Convenience function for running paired-samples t-test
• independentSamplesTTest Convenience function for running independent-samples t-test
• goodnessOfFitTest Convenience function for running a chi-square goodness of fit test against specified probabilities
• associationTest Convenience function for running a chi-square test of association / independence between two categorical variables

Data manipulation

• colCopy Copy a vector into a matrix
• rowCopy Copy a vector into a matrix
• sortFrame Sort a data frame
• tFrame Transpose a data frame
• expandFactors Convert factors into a set of contrasts
• importList Copy each element of a list to a new variable
• longToWide Reshape a data frame from long to wide
• wideToLong Reshape a data frame from wide to long
• permuteLevels Permute the levels of a factor

Workspace management

• rmAll Remove all variables from the workspace
• unlibrary Unload a package
• who Display the contents of the workspace

svannoy/lsr-package documentation built on May 30, 2019, 8:45 p.m.