R Dataset / Package HSAUR / polyps3

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

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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-hsaur-polyps3.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-63748.csv 615 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 polyps3 data set which pertains to Familial Andenomatous Polyposis . The polyps3 data set is found in the HSAUR R package. Try to load the polyps3 data set in R by issuing the following command at the console data("polyps3"). This may load the data into a variable called polyps3. If R says the polyps3 data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") and then attempt to reload the data with library("HSAUR") followed by data("polyps3"). 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 polyps3 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 polyps3 R data set. The size of this file is about 615 bytes.


Familial Andenomatous Polyposis

Description

Data from a placebo-controlled trial of a non-steroidal anti-inflammatory drug in the treatment of familial andenomatous polyposis (FAP).

Usage

data("polyps3")

Format

A data frame with 22 observations on the following 5 variables.

sex

a factor with levels female and male.

treatment

a factor with levels placebo and active.

baseline

the baseline number of polyps.

age

the age of the patient.

number3m

the number of polyps after three month.

Details

The data arise from the same study as the polyps data. Here, the number of polyps after three months are given.

Source

F. M. Giardiello, S. R. Hamilton, A. J. Krush, S. Piantadosi, L. M. Hylind, P. Celano, S. V. Booker, C. R. Robinson and G. J. A. Offerhaus (1993), Treatment of colonic and rectal adenomas with sulindac in familial adenomatous polyposis. New England Journal of Medicine, 328(18), 1313–1316.

S. Piantadosi (1997), Clinical Trials: A Methodologic Perspective. John Wiley \& Sons, New York.

Examples

  data("polyps3", package = "HSAUR")
  plot(number3m ~ age, data = polyps3, pch = as.numeric(polyps3$treatment))
  legend("topright", legend = levels(polyps3$treatment), pch = 1:2, bty = "n")
--

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