R Dataset / Package cluster / chorSub

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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<iframe src="https://embed.picostat.com/r-dataset-package-cluster-chorsub.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-14968.csv 2.25 KB
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 chorSub data set which pertains to Subset of C-horizon of Kola Data. The chorSub data set is found in the cluster R package. You can load the chorSub data set in R by issuing the following command at the console data("chorSub"). This will load the data into a variable called chorSub. If R says the chorSub data set is not found, you can try installing the package by issuing this command install.packages("cluster") 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 chorSub R data set. The size of this file is about 2,299 bytes.

Documentation

Subset of C-horizon of Kola Data

Description

This is a small rounded subset of the C-horizon data chorizon from package mvoutlier.

Usage

data(chorSub)

Format

A data frame with 61 observations on 10 variables. The variables contain scaled concentrations of chemical elements.

Details

This data set was produced from chorizon via these statements:

    data(chorizon, package = "mvoutlier")
    chorSub <- round(100*scale(chorizon[,101:110]))[190:250,]
    storage.mode(chorSub) <- "integer"
    colnames(chorSub) <- gsub("_.*", '', colnames(chorSub))
  

Source

Kola Project (1993-1998)

See Also

chorizon in package mvoutlier and other Kola data in the same package.

Examples

data(chorSub)
summary(chorSub)
pairs(chorSub, gap= .1)# some outliers
--

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

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