R Dataset / Package DAAG / spam7

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

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-daag-spam7.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-83873.csv 99.29 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 spam7 data set which pertains to Spam E-mail Data. The spam7 data set is found in the DAAG R package. You can load the spam7 data set in R by issuing the following command at the console data("spam7"). This will load the data into a variable called spam7. If R says the spam7 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 spam7 R data set. The size of this file is about 101,669 bytes.

Documentation

Spam E-mail Data

Description

The data consist of 4601 email items, of which 1813 items were identified as spam.

Usage

spam7

Format

This data frame contains the following columns:

crl.tot

total length of words in capitals

dollar

number of occurrences of the \$ symbol

bang

number of occurrences of the ! symbol

money

number of occurrences of the word ‘money’

n000

number of occurrences of the string ‘000’

make

number of occurrences of the word ‘make’

yesno

outcome variable, a factor with levels n not spam, y spam

Source

George Forman, Hewlett-Packard Laboratories

These data are available from the University of California at Irvine Repository of Machine Learning Databases and Domain Theories. The address is: http://www.ics.uci.edu/~Here

Examples

require(rpart)
spam.rpart <- rpart(formula = yesno ~ crl.tot + dollar + bang +
   money + n000 + make, data=spam7)
plot(spam.rpart)
text(spam.rpart)
--

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

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