R Dataset / Package MASS / fgl

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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Plot

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Regression

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<iframe src="https://embed.picostat.com/r-dataset-package-mass-fgl.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-13187.csv 12.69 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the fgl data set which pertains to Measurements of Forensic Glass Fragments. The fgl data set is found in the MASS R package. You can load the fgl data set in R by issuing the following command at the console data("fgl"). This will load the data into a variable called fgl. If R says the fgl data set is not found, you can try installing the package by issuing this command install.packages("MASS") 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 fgl R data set. The size of this file is about 12,997 bytes.


Measurements of Forensic Glass Fragments

Description

The fgl data frame has 214 rows and 10 columns. It was collected by B. German on fragments of glass collected in forensic work.

Usage

fgl

Format

This data frame contains the following columns:

RI

refractive index; more precisely the refractive index is 1.518xxxx.

The next 8 measurements are percentages by weight of oxides.

Na

sodium.

Mg

manganese.

Al

aluminium.

Si

silicon.

K

potassium.

Ca

calcium.

Ba

barium.

Fe

iron.

type

The fragments were originally classed into seven types, one of which was absent in this dataset. The categories which occur are window float glass (WinF: 70), window non-float glass (WinNF: 76), vehicle window glass (Veh: 17), containers (Con: 13), tableware (Tabl: 9) and vehicle headlamps (Head: 29).

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

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

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