R Dataset / Package car / Davis

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

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-car-davis.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-14820.csv 3.55 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 Davis data set which pertains to Self-Reports of Height and Weight. The Davis data set is found in the car R package. You can load the Davis data set in R by issuing the following command at the console data("Davis"). This will load the data into a variable called Davis. If R says the Davis data set is not found, you can try installing the package by issuing this command install.packages("car") 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 Davis R data set. The size of this file is about 3,632 bytes.

Documentation

Self-Reports of Height and Weight

Description

The Davis data frame has 200 rows and 5 columns. The subjects were men and women engaged in regular exercise. There are some missing data.

Usage

Davis

Format

This data frame contains the following columns:

sex

A factor with levels: F, female; M, male.

weight

Measured weight in kg.

height

Measured height in cm.

repwt

Reported weight in kg.

repht

Reported height in cm.

Source

Personal communication from C. Davis, Departments of Physical Education and Psychology, York University.

References

Davis, C. (1990) Body image and weight preoccupation: A comparison between exercising and non-exercising women. Appetite, 15, 13–21.

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

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

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