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lessR (version 2.9.3)

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

2,931

Version

2.9.3

License

GPL (>= 2)

Maintainer

David W Gerbing

Last Published

May 19th, 2013

Functions in lessR (2.9.3)

Compute and Plot Normal Curve Probabilities over an Interval

Plot a Normal Curve with Shaded Intervals by Standard Deviation

Pedagogical Simulation for the Confidence Interval of the Mean

Pedagogical Simulation of Sample Means over Repeated Samples

CountAll Descriptive Analysis of all Variables in the Data Frame

Nest the Values of an Integer or Factor Variable

Plot t-distribution Curve and Specified Cutoffs with Normal Curve

Analysis of Variance

Subset the Values of an Integer or Factor Variable

Logit Regression Analysis

Histogram with Color

Set the Default Color Theme and Other System Settings

Merge Two Data Frames Horizontally or Vertically

Data: Body Measurements

Density Curves from Data plus Histogram

Proportionality Coefficients from Correlations

Sort the Rows of a Data Frame

Reflect Specified Variables in a Correlation Matrix

Data: Distributed vs Massed Practice

Transform the Values of an Integer or Factor Variable

Apply a Variable Label to a non-lessR Function

Data: Machiavellianism

Correlation Analysis

Write the Contents of a Data Frame to an External File

Eigenvalue Plot of a Correlation Matrix

Confirmatory Factor Analysis of a Multiple Indicator Measurement Model

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

Data: Reading Ability

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

Regression Analysis, ANOVA or t-test

Display All Named R Colors and Their rgb Values

Pedagogical Simulation for the Central Limit Theorem

Summary Statistics for One or Two Variables

Display Contents of a Data File and Optional Variable Labels

Help System for Statistics by Topic that Suggests Related Functions

Data: Employees

Data: Motorcycle Type and Thickness of Jacket

Create a Sequence of Numbered Variable Names with a Common Prefix

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

Regression Analysis

Scatterplot for One (Dot Plot) or Two Variables

Pedagogical Binomial Simulation, Coin flips

List the Values of a Variable

Read Specified Correlation Matrix

Recode the Values of an Integer or Factor Variable

Reorder Variables in a Correlation Matrix

Bar Chart of One or Two Variables

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

Exploratory Factor Analysis and Multiple Indicator Measurement Model