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lessR (version 2.8)

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.

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Version

Install

install.packages('lessR')

Monthly Downloads

3,521

Version

2.8

License

GPL (>= 2)

Maintainer

David W Gerbing

Last Published

January 4th, 2013

Functions in lessR (2.8)

Proportionality Coefficients from Correlations

Correlation Analysis

Merge Two Data Frames Horizontally or Vertically

Data: Reading Ability

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

Reorder Variables in a Correlation Matrix

Scatterplot for One (Dot Plot) or Two Variables

Create a Sequence of Numbered Variable Names with a Common Prefix

Pedagogical Simulation for the Confidence Interval of the Mean

Analysis of Variance

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

Data: Employees

Subset the Values of an Integer or Factor Variable

Help System for Statistics by Topic that Suggests Related Functions

Confirmatory Factor Analysis of Multiple Indicator Measurement Models

Read Specified Correlation Matrix into an R Matrix Named mycor

Data: Distributed vs Massed Practice

Reflect Specified Variables in a Correlation Matrix

Histogram with Color

Pedagogical Simulation for the Central Limit Theorem

Eigenvalue Plot of a Correlation Matrix

Regression Analysis, ANOVA or t-test

Exploratory Factor Analysis and Multiple Indicator Measurement Model

Regression Analysis

Apply a Variable Label to a non-lessR Function

Data: Machiavellianism Data

Recode the Values of an Integer or Factor Variable

Pedagogical Binomial Simulation, Coin flips

Transform the Values of an Integer or Factor Variable

Density Curves from Data plus Histogram

Plot t-distribution Curve and Specified Cutoffs with Normal Curve

Sort the Rows of a Data Frame

Summary Statistics for One or Two Variables

List the Values of a Variable

CountAll Descriptive Analysis of all Variables in the Data Frame

Set the Default Color Theme and Other System Settings

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

Data: Motorcycle Type and Thickness of Jacket

Bar Chart of One or Two Variables

Write the Contents of Data Frame mydata to an External File

Plot a Normal Curve with Shaded Intervals by Standard Deviation

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

Pedagogical Simulation of Sample Means over Repeated Samples

Compute and Plot Normal Curve Probabilities over an Interval

Display All Named R Colors and Their rgb Values