R Dataset / Package Zelig / newpainters

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-zelig-newpainters.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-52586.csv 1.4 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 newpainters data set which pertains to The Discretized Painter's Data of de Piles. The newpainters data set is found in the Zelig R package. You can load the newpainters data set in R by issuing the following command at the console data("newpainters"). This will load the data into a variable called newpainters. If R says the newpainters data set is not found, you can try installing the package by issuing this command install.packages("Zelig") 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 newpainters R data set. The size of this file is about 1,438 bytes.

Documentation

The Discretized Painter's Data of de Piles

Description

The original painters data contain the subjective assessment, on a 0 to 20 integer scale, of 54 classical painters. The newpainters data discretizes the subjective assessment by quartiles with thresholds 25%, 50%, 75%. The painters were assessed on four characteristics: composition, drawing, colour and expression. The data is due to the Eighteenth century art critic, de Piles.

Usage

data(newpainters)

Format

A table containing 5 variables ("Composition", "Drawing", "Colour", "Expression", and "School") and 54 observations.

Source

A. J. Weekes (1986).“A Genstat Primer”. Edward Arnold.

M. Davenport and G. Studdert-Kennedy (1972). “The statistical analysis of aesthetic judgement: an exploration.” Applied Statistics, vol. 21, pp. 324–333.

I. T. Jolliffe (1986) “Principal Component Analysis.” Springer.

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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