R Functions for Elementary Statistics
Easy Bar Charts
Binomial Distributions With Normal Approximation
Skewness in the Binomial Family of Distributions
Exact Procedures for a Single Proportion
Chi Square Resampler (One at a Time)
Chi-Square Test (GC version)
Confidence Intervals (for one population mean)
Confidence Intervals (for one population proportion)
Column Percents
Dynamic Trellising (Histogram)
Dynamic Trellising (Scatterplot)
Empirical Rule
Graphical Calculator for the Empirical Rule
Expected Cell Counts From Two-Way Tables
Find the Regression Line
Extensive Help Via Vignettes
Linear Regression
Play with a Discrete Random Variable
Repeated Sampling for a Mean (Slow)
Parse formulas
Graphical Calculator for Binomial Curve Probabilities
Graphical Calculator for Chi-Square Probabilities
Diagnostic Plots for GC Linear Regression
Diagnostic Plots for GC Polynomial Regression
Graphical Calculator for Normal Curve Probabilities
A study of Influence
Polynomial Regression
Sampling From a Population
Prediction Function for GC Linear Regression
Prediction Function for GC Polynomial Regression
Print Function for binomestGC
Print Function for chisqtestGC
Print Function for GC Linear Regression
Print Function for GC Proportion Test (One-Sample)
Print Function for GC Proportions Test (Two-Sample)
Print Function for ttestGC
Print Function for GC Polynomial Regression
Repeated Sampling for a Proportion (Slow)
Proportions Procedures
Graphical Calculator for t-Curve Probabilities
Graphical Calculator for Normal Curve Percentiles
Make Normal Sampling Functions
Randomized Experimental Designs
Shade Rectangles for Discrete Distributions
Estimation of Regression Coefficients
Row Percents
Distribution of the Difference of Sample Means
Difference of Two Sample Proportions
Distribution of the Sample Mean
Regression Line Too Shallow?
Get a variable from its name
Reversed Simple Key FunctionUtility function for barchartGC.
Simple Random Sample
Simple Random Sample (v2)
Skewness and Box Plots
Chi Square Resampler (One at a Time) for Goodness-of-Fit
Exploration of the t-Distributions
Lattice Theme or R Presentations
Lattice Theme or R Presentations
R Functions for Elementary Statistics
Illustrating the t-statistic
t-Procedures
Type I and Type II Errors
Shade Under Density Curves
Variability
Vary Correlation
Multiple Confidence Interval for a Proportion
Multiple Confidence Interval for a Proportion, One at a Time
A collection of data sets and functions that are useful in the teaching of statistics at an elementary level to students who may have little or no previous experience with the command line. The functions for elementary inferential procedures follow a uniform interface for user input. Some of the functions are instructional applets that can only be run on the R Studio integrated development environment with package 'manipulate' installed. Other instructional applets are Shiny apps that may be run locally. In teaching the package is used alongside of package 'mosaic', 'mosaicData' and 'abd', which are therefore listed as dependencies.