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lessR (version 2.9.4)

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

2,884

Version

2.9.4

License

GPL (>= 2)

Maintainer

David W Gerbing

Last Published

August 26th, 2013

Functions in lessR (2.9.4)

Subset

Subset the Values of an Integer or Factor Variable
Correlation

Correlation Analysis
PieChart

Pie Chart
Read

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

Boxplot
Sort

Sort the Rows of a Data Frame
corReflect

Reflect Specified Variables in a Correlation Matrix
set

Set the Default Color Theme and Other System Settings
Regression

Regression Analysis
corEFA

Exploratory Factor Analysis and Multiple Indicator Measurement Model
CountAll

CountAll Descriptive Analysis of all Variables in the Data Frame
dataJackets

Data: Motorcycle Type and Thickness of Jacket
dataBodyMeas

Data: Body Measurements
ANOVA

Analysis of Variance
ttestPower

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

Logit Regression Analysis
Density

Density Curves from Data plus Histogram
Help

Help System for Statistics by Topic that Suggests Related Functions
prob.norm

Compute and Plot Normal Curve Probabilities over an Interval
Histogram

Histogram with Color
Merge

Merge Two Data Frames Horizontally or Vertically
simCImean

Pedagogical Simulation for the Confidence Interval of the Mean
dataLearn

Data: Distributed vs Massed Practice
label

Apply a Variable Label to a non-lessR Function
values

List the Values of a Variable
to

Create a Sequence of Numbered Variable Names with a Common Prefix
dataEmployee

Data: Employees
dataReading

Data: Reading Ability
BarChart

Bar Chart of One or Two Variables
Write

Write the Contents of a Data Frame to an External File
simFlips

Pedagogical Binomial Simulation, Coin flips
corCFA

Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
showColors

Display All Named R Colors and Their rgb Values
Transform

Transform the Values of an Integer or Factor Variable
corScree

Eigenvalue Plot of a Correlation Matrix
corProp

Proportionality Coefficients from Correlations
corRead

Read Specified Correlation Matrix
LineChart

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

Regression Analysis, ANOVA or t-test
simMeans

Pedagogical Simulation of Sample Means over Repeated Samples
prob.znorm

Plot a Normal Curve with Shaded Intervals by Standard Deviation
Recode

Recode the Values of an Integer or Factor Variable
prob.tcut

Plot t-distribution Curve and Specified Cutoffs with Normal Curve
dataCars93

Data: Cars93
dataMach4

Data: Machiavellianism
simCLT

Pedagogical Simulation for the Central Limit Theorem
corReorder

Reorder Variables in a Correlation Matrix
Nest

Nest the Values of an Integer or Factor Variable
SummaryStats

Summary Statistics for One or Two Variables
ScatterPlot

Scatterplot for One (Dot Plot) or Two Variables
details

Display Contents of a Data File and Optional Variable Labels
ttest

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