R Dataset / Package mosaicData / Mites

How To Create a Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Correlation Coefficient

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Hollow Histogram

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Numerical Summaries

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Plot

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Regression

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-mosaicdata-mites.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-47884.csv 847 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Mites data set which pertains to Mites and Wilt Disease. The Mites data set is found in the mosaicData R package. You can load the Mites data set in R by issuing the following command at the console data("Mites"). This will load the data into a variable called Mites. If R says the Mites data set is not found, you can try installing the package by issuing this command install.packages("mosaicData") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Mites R data set. The size of this file is about 847 bytes.

Documentation

Mites and Wilt Disease

Description

Data from an experiment to test whether exposure to mites protects against Wilt Disease in cotton plants.

Usage

data(Mites)

Format

A data frame with 47 observations on the following variables.

  • treatment a factor with levels mites and no mites

  • outcome a factor with levels wilt and no wilt

Details

Researchers suspected that attack of a plant by one organism induced resistance to subsequent attack by a different organism. Individually potted cotton plants were randomly allocated to two groups: infestation by spider mites or no infestation. After two weeks the mites were dutifully removed by a conscientious research assistant, and both groups were inoculated with Verticillium, a fungus that causes Wilt disease. More information can be found at https://www.causeweb.org/webinar/activity/2010-01/.

Source

Statistics for the Life Sciences, Third Edition; Myra Samuels & Jeffrey Witmer (2003), page 409.

Examples

data(Mites)
if (require(mosaic)) {
  tally(~ treatment + outcome, data=Mites)
  tally(~ outcome | treatment, format="percent", data=Mites)
}
--

Dataset imported from https://www.r-project.org.

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