R Dataset / Package datasets / warpbreaks

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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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

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Plot

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Regression

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Stem and Leaf Plots

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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-datasets-warpbreaks.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-19372.csv 620 bytes
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 warpbreaks data set which pertains to The Number of Breaks in Yarn during Weaving. The warpbreaks data set is found in the datasets R package. You can load the warpbreaks data set in R by issuing the following command at the console data("warpbreaks"). This will load the data into a variable called warpbreaks. If R says the warpbreaks data set is not found, you can try installing the package by issuing this command install.packages("datasets") 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 warpbreaks R data set. The size of this file is about 620 bytes.


The Number of Breaks in Yarn during Weaving

Description

This data set gives the number of warp breaks per loom, where a loom corresponds to a fixed length of yarn.

Usage

warpbreaks

Format

A data frame with 54 observations on 3 variables.

[,1] breaks numeric The number of breaks
[,2] wool factor The type of wool (A or B)
[,3] tension factor The level of tension (L, M, H)

There are measurements on 9 looms for each of the six types of warp (AL, AM, AH, BL, BM, BH).

Source

Tippett, L. H. C. (1950) Technological Applications of Statistics. Wiley. Page 106.

References

Tukey, J. W. (1977) Exploratory Data Analysis. Addison-Wesley.

McNeil, D. R. (1977) Interactive Data Analysis. Wiley.

See Also

xtabs for ways to display these data as a table.

Examples

require(stats); require(graphics)
summary(warpbreaks)
opar <- par(mfrow = c(1, 2), oma = c(0, 0, 1.1, 0))
plot(breaks ~ tension, data = warpbreaks, col = "lightgray",
     varwidth = TRUE, subset = wool == "A", main = "Wool A")
plot(breaks ~ tension, data = warpbreaks, col = "lightgray",
     varwidth = TRUE, subset = wool == "B", main = "Wool B")
mtext("warpbreaks data", side = 3, outer = TRUE)
par(opar)
summary(fm1 <- lm(breaks ~ wool*tension, data = warpbreaks))
anova(fm1)

--

Dataset imported from https://www.r-project.org.
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R Output Date
Picostat Output - Correlation Coefficients Nov 1, 2020
Picostat Output - Cumulative Frequency Histogram Oct 31, 2020
Picostat Output - Boxplot Oct 31, 2020
Picostat Output - Boxplot Oct 31, 2020
Picostat Output - Boxplot Dec 4, 2018
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