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lessR (version 2.3.1)

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, color plotting, color bar chart, color histogram, color box plot, color density curves, a calibrated power curve, and the reading and display of csv and other formatted data. The function Help provides a help system that suggests specific analyses and functions. Variable labels, and color themes with the set function, are also available.

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Version

Install

install.packages('lessR')

Monthly Downloads

4,097

Version

2.3.1

License

GPL (>= 2)

Maintainer

David W Gerbing

Last Published

June 13th, 2012

Functions in lessR (2.3.1)

BoxPlot

Boxplot
Read

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

Correlation Analysis
Write

Write the Contents of Data Frame mydata to an External File
Histogram

Histogram with Color
Density

Density Curves from Data plus Histogram
showColors

Display Named R Colors and rgb Values
Model

Regression Analysis, ANOVA or t-test
Help

Help System for Statistics by Topic that Suggests Related Functions
values

List the values of a Variable
ANOVA

Analysis of Variance
qnt.t

Plot t-distribution Curve and Corresponding Normal Curve with Tail Cutoffs
dat.employee

Data: Employees
dat.twogroup

Data: ShipTimes of Two Suppliers
sim.CLT

Pedagogical Simulation for the Central Limit Theorem
ttestPower

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

Plot a Normal Curve with Shaded Intervals by Standard Deviation
ttest

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

Regression Analysis
sim.means

Pedagogical Simulation of Sample Means over Repeated Samples
prob.norm

Compute and Plot Normal Curve Probabilities over an Interval
label

Get a Variable Label for Display on Output
Plot

Scatter Plot for One (Dot Plot) or Two Variables
set

Set the Default Color Palette
to

Create a sequence of variable names numbered sequentially
BarChart

Bar Chart of One or Two Variables
sim.CImean

Pedagogical Simulation for the Confidence Interval of the Mean
SummaryStats

Summary Statistics for One or Two Variables
sim.flips

Pedagogical Binomial Simulation, Coin flips
CountAll

CountAll Descriptive Analysis of all Variables in the Data Frame
PieChart

Pie Chart
RunChart

Run Chart or Time-Series Chart