R Dataset / Package geepack / dietox

How To Create a Barplot

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Category
Visual
Instructional

How To Create a Stacked Barplot

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Visual
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How To Create a Pie Chart

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Visual

How To Compute the Mean

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Category
Numerical
Instructional

How To Create a Plot

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Category
Visual
Instructional

How to Compute the Median

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Instructional
Numerical

Boxplot

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

Submitted by pmagunia on April 22, 2018 - 3:08 PM
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Cumulative Frequency Histogram

Submitted by pmagunia on April 22, 2018 - 3:09 PM
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Dotplot

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Hollow Histogram

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Numerical Summaries

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

Submitted by pmagunia on April 22, 2018 - 3:11 PM
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Plot

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Ratio

Submitted by pmagunia on December 18, 2021 - 4:28 PM

Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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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-geepack-dietox.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-30685.csv 24.22 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 dietox data set which pertains to Growth curves of pigs in a 3x3 factorial experiment. The dietox data set is found in the geepack R package. Try to load the dietox data set in R by issuing the following command at the console data("dietox"). This may load the data into a variable called dietox. If R says the dietox data set is not found, you can try installing the package by issuing this command install.packages("geepack") and then attempt to reload the data with library("geepack") followed by data("dietox"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing dietox at the command-line which should display the entire dataset.

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 dietox R data set. The size of this file is about 24,798 bytes.


Growth curves of pigs in a 3x3 factorial experiment

Description

The dietox data frame has 861 rows and 7 columns.

Usage

data(dietox)

Format

This data frame contains the following columns:

Weight

a numeric vector

Feed

a numeric vector

Time

a numeric vector

Pig

a numeric vector

Evit

a numeric vector

Cu

a numeric vector

Litter

a numeric vector

Source

Lauridsen, C., Højsgaard, S.,Sørensen, M.T. C. (1999) Influence of Dietary Rapeseed Oli, Vitamin E, and Copper on Performance and Antioxidant and Oxidative Status of Pigs. J. Anim. Sci.77:906-916

Examples

data(dietox)
dietox$Cu     <- as.factor(dietox$Cu)
gee01 <- geeglm (Weight ~ Time + Cu + Cu * Time, id =Pig, data = dietox,
         family=gaussian,corstr="ex")mf <- formula(Weight~Cu*(Time+I(Time^2)+I(Time^3)))
gee1 <- geeglm(mf, data=dietox, id=Pig, family=poisson("identity"),corstr="ar1")
summary(gee1)
anova(gee1)
--

Dataset imported from https://www.r-project.org.
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R Output Date
Picostat Output - Numerical Summaries Jan 19, 2023
Picostat Output - Boxplot Jan 19, 2023
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