R Dataset / Package DAAG / rareplants

How To Create a Barplot

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How To Create a Stacked 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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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-daag-rareplants.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-59623.csv 63 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 rareplants data set which pertains to Rare and Endangered Plant Species. The rareplants data set is found in the DAAG R package. You can load the rareplants data set in R by issuing the following command at the console data("rareplants"). This will load the data into a variable called rareplants. If R says the rareplants data set is not found, you can try installing the package by issuing this command install.packages("DAAG") 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 rareplants R data set. The size of this file is about 63 bytes.

Documentation

Rare and Endangered Plant Species

Description

These data were taken from species lists for South Australia, Victoria and Tasmania. Species were classified as CC, CR, RC and RR, with C denoting common and R denoting rare. The first code relates to South Australia and Victoria, and the second to Tasmania. They were further classified by habitat according to the Victorian register, where D = dry only, W = wet only, and WD = wet or dry.

Usage

rareplants

Format

The format is: chr "rareplants"

Source

Jasmyn Lynch, Department of Botany and Zoology at Australian National University

Examples

chisq.test(rareplants)
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Dataset imported from https://www.r-project.org.

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