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UsingR

Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition

A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.

README

Kernel and bandwidth selection
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The value for a density plot is computed using a function $K$ (the kernel) and a bandwidth $h$. Different choices for the either lead to different graphics.

R provided the following kernel choices: `c("gaussian", "epanechnikov", "rectangular", "triangular", "biweight", "cosine", "optcosine")`. 

The bandwidth can be chosen automatically through one of the algorithms: "nrd0",  "nrd", "ucv", "bcv", "SJ". The default value, "nrd0" is found by:

* finding the smaller of `s` or `IQR/1.34`, say `m`

* forming `0.9 *  m * n^(-1/5)`

As `n` get's larger, the bandwidth does too, but much more slowly.

Alternatively, one can specify the bandwidth using a numeric value. 

Versions across snapshots

VersionRepositoryFileSize
2.0-8 rolling linux/jammy R-4.5 UsingR_2.0-8.tar.gz 1.9 MiB
2.0-8 rolling linux/noble R-4.5 UsingR_2.0-8.tar.gz 1.9 MiB
2.0-8 rolling source/ R- UsingR_2.0-8.tar.gz 1.4 MiB
2.0-8 latest linux/jammy R-4.5 UsingR_2.0-8.tar.gz 1.9 MiB
2.0-8 latest linux/noble R-4.5 UsingR_2.0-8.tar.gz 1.9 MiB
2.0-8 latest source/ R- UsingR_2.0-8.tar.gz 1.4 MiB
2.0-8 2026-04-26 source/ R- UsingR_2.0-8.tar.gz 1.4 MiB
2.0-8 2026-04-23 source/ R- UsingR_2.0-8.tar.gz 1.4 MiB
2.0-8 2026-04-09 windows/windows R-4.5 UsingR_2.0-8.zip 2.0 MiB
2.0-7 2025-04-20 source/ R- UsingR_2.0-7.tar.gz 1.4 MiB

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