R Dataset / Package HSAUR / polyps3

On this R-data 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. You can load the polyps3 data set in R by issuing the following command at the console data("polyps3"). This will 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 the library() command. 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.

Attachments: csv, json

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