R Dataset / Package COUNT / smoking

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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Ratio

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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
<iframe src="https://embed.picostat.com/r-dataset-package-count-smoking.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-87355.csv 584 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 smoking data set which pertains to smoking. The smoking data set is found in the COUNT R package. Try to load the smoking data set in R by issuing the following command at the console data("smoking"). This may load the data into a variable called smoking. If R says the smoking data set is not found, you can try installing the package by issuing this command install.packages("COUNT") and then attempt to reload the data with library("COUNT") followed by data("smoking"). 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 smoking 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 smoking R data set. The size of this file is about 584 bytes.


smoking

Description

A simple data set with only 6 observations.

Usage

data(smoking)

Format

A data frame with 6 observations on the following 4 variables.

sbp

systolic blood pressure of subject

male

1=male; 0=female

smoker

1=hist of smoking; 0= no hist of smoking

age

age of subject

Details

smoking is saved as a data frame.

Source

none

References

Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press

Examples

sbp    <- c(131,132,122,119,123,115)
male   <- c(1,1,1,0,0,0)
smoker <- c(1,1,0,0,1,0)
age    <- c(34,36,30,32,26,23)
summary(reg1 <- lm(sbp~ male+smoker+age))

--

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