R Dataset / Package vcd / OvaryCancer

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-vcd-ovarycancer.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-76824.csv 574 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 OvaryCancer data set which pertains to Ovary Cancer Data. The OvaryCancer data set is found in the vcd R package. Try to load the OvaryCancer data set in R by issuing the following command at the console data("OvaryCancer"). This may load the data into a variable called OvaryCancer. If R says the OvaryCancer data set is not found, you can try installing the package by issuing this command install.packages("vcd") and then attempt to reload the data with library("vcd") followed by data("OvaryCancer"). 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 OvaryCancer 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 OvaryCancer R data set. The size of this file is about 574 bytes.


Ovary Cancer Data

Description

Data from Obel (1975) about a retrospective study of ovary cancer carried out in 1973. Information was obtained from 299 women, who were operated for ovary cancer 10 years before.

Usage

data("OvaryCancer")

Format

A data frame with 16 observations and 5 variables.

Freq

frequency.

stage

factor indicating the stage of the cancer at the time of operation (early, advanced).

operation

factor indicating type of operation (radical, limited).

survival

factor indicating survival status after 10 years (yes, no).

xray

factor indicating whether X-ray treatment was received (yes, no).

Source

E. B. Andersen (1991), The Statistical Analysis of Categorical Data, Table 6.4.

References

E. B. Obel (1975), A Comparative Study of Patients with Cancer of the Ovary Who Have Survived More or Less Than 10 Years. Acta Obstetricia et Gynecologica Scandinavica, 55, 429-439.

E. B. Andersen (1991), The Statistical Analysis of Categorical Data. 2nd edition. Springer-Verlag, Berlin.

Examples

data("OvaryCancer")
tab <- xtabs(Freq ~ xray + survival + stage + operation, data = OvaryCancer)
ftable(tab, col.vars = "survival", row.vars = c("stage", "operation", "xray"))## model: ~ xray * operation * stage + survival * stage
## interpretation: treat xray, operation, stage as fixed margins,
##   the survival depends on stage, but not xray and operation.
doubledecker(survival ~ stage + operation + xray, data = tab)
mosaic(~ stage + operation + xray + survival,
  split = c(FALSE, TRUE, TRUE, FALSE), data = tab, keep = FALSE,
  gp = gpar(fill = rev(grey.colors(2))))
mosaic(~ stage + operation + xray + survival,
  split = c(FALSE, TRUE, TRUE, FALSE), data = tab, keep = FALSE,
  expected = ~ xray * operation * stage + survival*stage)

--

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