R Dataset / Package DAAG / cuckoos

How To Create a Barplot

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Visual
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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

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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

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
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Attachment Size
dataset-27869.csv 2.99 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 cuckoos data set which pertains to Cuckoo Eggs Data. The cuckoos data set is found in the DAAG R package. You can load the cuckoos data set in R by issuing the following command at the console data("cuckoos"). This will load the data into a variable called cuckoos. If R says the cuckoos 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 cuckoos R data set. The size of this file is about 3,062 bytes.


Cuckoo Eggs Data

Description

Length and breadth measurements of 120 eggs lain in the nests of six different species of host bird.

Usage

cuckoos

Format

This data frame contains the following columns:

length

the egg lengths in millimeters

breadth

the egg breadths in millimeters

species

a factor with levels hedge.sparrow, meadow.pipit, pied.wagtail, robin, tree.pipit, wren

id

a numeric vector

Source

Latter, O.H. (1902). The eggs of Cuculus canorus. An Inquiry into the dimensions of the cuckoo's egg and the relation of the variations to the size of the eggs of the foster-parent, with notes on coloration, &c. Biometrika i, 164.

References

Tippett, L.H.C. 1931: "The Methods of Statistics". Williams & Norgate, London.

Examples

 
print("Strip and Boxplots - Example 2.1.2")attach(cuckoos)
oldpar <- par(las = 2) # labels at right angle to axis.
stripchart(length ~ species) 
boxplot(split(cuckoos$length, cuckoos$species),
         xlab="Length of egg", horizontal=TRUE)
detach(cuckoos)
par(oldpar)
pause()print("Summaries - Example 2.2.2")
sapply(split(cuckoos$length, cuckoos$species), sd)
pause()print("Example 4.1.4")
wren <- split(cuckoos$length, cuckoos$species)$wren
median(wren)
n <- length(wren)
sqrt(pi/2)*sd(wren)/sqrt(n)  # this s.e. computation assumes normality

--

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