Learn R Programming

⚠️There's a newer version (4.5.2) of this package.Take me there.

lessR (version 2.9.2)

Less Code, More Results

Description

Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate descriptive statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, ANOVA and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, the reading and display of csv and other formatted data and color themes. The function Help provides a help system that suggests specific analyses and functions. Variable labels are available. A confirmatory factor analysis of multiple indicator measurement models is also available as well as pedagogical routines for data simulation such as for the Central Limit Theorem.

Copy Link

Version

Install

install.packages('lessR')

Monthly Downloads

3,224

Version

2.9.2

License

GPL (>= 2)

Maintainer

David W Gerbing

Last Published

May 8th, 2013

Functions in lessR (2.9.2)

CountAll Descriptive Analysis of all Variables in the Data Frame

Density Curves from Data plus Histogram

Help System for Statistics by Topic that Suggests Related Functions

Pedagogical Binomial Simulation, Coin flips

Merge Two Data Frames Horizontally or Vertically

Exploratory Factor Analysis and Multiple Indicator Measurement Model

Read and Display Contents of a Data File and Optional Variable Labels

Logit Regression Analysis

Data: Machiavellianism

Transform the Values of an Integer or Factor Variable

Summary Statistics for One or Two Variables

Recode the Values of an Integer or Factor Variable

Data: Body Measurements

Pedagogical Simulation of Sample Means over Repeated Samples

Create a Sequence of Numbered Variable Names with a Common Prefix

Data: Motorcycle Type and Thickness of Jacket

Compute and Plot Normal Curve Probabilities over an Interval

Pedagogical Simulation for the Confidence Interval of the Mean

Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics

Histogram with Color

Data: Distributed vs Massed Practice

Write the Contents of a Data Frame to an External File

Compute a Power Curve for a One or Two Group t-test

Data: Employees

Scatterplot for One (Dot Plot) or Two Variables

Subset the Values of an Integer or Factor Variable

Proportionality Coefficients from Correlations

Plot a Normal Curve with Shaded Intervals by Standard Deviation

Confirmatory Factor Analysis of a Multiple Indicator Measurement Model

Pedagogical Simulation for the Central Limit Theorem

List the Values of a Variable

Nest the Values of an Integer or Factor Variable

Line Chart such as a Run Chart or Time-Series Chart

Display Contents of a Data File and Optional Variable Labels

Reflect Specified Variables in a Correlation Matrix

Display All Named R Colors and Their rgb Values

Sort the Rows of a Data Frame

Reorder Variables in a Correlation Matrix

Plot t-distribution Curve and Specified Cutoffs with Normal Curve

Correlation Analysis

Regression Analysis, ANOVA or t-test

Regression Analysis

Eigenvalue Plot of a Correlation Matrix

Set the Default Color Theme and Other System Settings

Read Specified Correlation Matrix

Apply a Variable Label to a non-lessR Function

Data: Reading Ability

Bar Chart of One or Two Variables

Analysis of Variance