R Dataset / Package datasets / esoph

How To Create a Barplot

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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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Numerical
Instructional

How To Create a Plot

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Visual
Instructional

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

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

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Dotplot

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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-datasets-esoph.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-87569.csv 2.58 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 esoph data set which pertains to Smoking, Alcohol and (O)esophageal Cancer. The esoph data set is found in the datasets R package. Try to load the esoph data set in R by issuing the following command at the console data("esoph"). This may load the data into a variable called esoph. If R says the esoph 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 with library("datasets") followed by data("esoph"). 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 esoph 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 esoph R data set. The size of this file is about 2,645 bytes.


Smoking, Alcohol and (O)esophageal Cancer

Description

Data from a case-control study of (o)esophageal cancer in Ille-et-Vilaine, France.

Usage

esoph

Format

A data frame with records for 88 age/alcohol/tobacco combinations.

[,1] "agegp" Age group 1 25--34 years
2 35--44
3 45--54
4 55--64
5 65--74
6 75+
[,2] "alcgp" Alcohol consumption 1 0--39 gm/day
2 40--79
3 80--119
4 120+
[,3] "tobgp" Tobacco consumption 1 0-- 9 gm/day
2 10--19
3 20--29
4 30+
[,4] "ncases" Number of cases
[,5] "ncontrols" Number of controls

Author(s)

Thomas Lumley

Source

Breslow, N. E. and Day, N. E. (1980) Statistical Methods in Cancer Research. Volume 1: The Analysis of Case-Control Studies. IARC Lyon / Oxford University Press.

Examples

require(stats)
require(graphics) # for mosaicplot
summary(esoph)
## effects of alcohol, tobacco and interaction, age-adjusted
model1 <- glm(cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp,
              data = esoph, family = binomial())
anova(model1)
## Try a linear effect of alcohol and tobacco
model2 <- glm(cbind(ncases, ncontrols) ~ agegp + unclass(tobgp)
                                         + unclass(alcgp),
              data = esoph, family = binomial())
summary(model2)
## Re-arrange data for a mosaic plot
ttt <- table(esoph$agegp, esoph$alcgp, esoph$tobgp)
o <- with(esoph, order(tobgp, alcgp, agegp))
ttt[ttt == 1] <- esoph$ncases[o]
tt1 <- table(esoph$agegp, esoph$alcgp, esoph$tobgp)
tt1[tt1 == 1] <- esoph$ncontrols[o]
tt <- array(c(ttt, tt1), c(dim(ttt),2),
            c(dimnames(ttt), list(c("Cancer", "control"))))
mosaicplot(tt, main = "esoph data set", color = TRUE)

--

Dataset imported from https://www.r-project.org.
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R Output Date
Picostat Output - Simple Linear Regression Oct 29, 2020
Picostat Output - Visual Summaries Oct 29, 2020
Picostat Output - Simple Linear Regression Oct 29, 2020
Picostat Output - Dotplot Jun 10, 2020
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Picostat Manual
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