R Dataset / Package rpart / kyphosis

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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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<iframe src="https://embed.picostat.com/r-dataset-package-rpart-kyphosis.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-65865.csv 1.4 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the kyphosis data set which pertains to Data on Children who have had Corrective Spinal Surgery. The kyphosis data set is found in the rpart R package. You can load the kyphosis data set in R by issuing the following command at the console data("kyphosis"). This will load the data into a variable called kyphosis. If R says the kyphosis data set is not found, you can try installing the package by issuing this command install.packages("rpart") and then attempt to reload the data. 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 kyphosis R data set. The size of this file is about 1,430 bytes.

Documentation

Data on Children who have had Corrective Spinal Surgery

Description

The kyphosis data frame has 81 rows and 4 columns. representing data on children who have had corrective spinal surgery

Usage

kyphosis

Format

This data frame contains the following columns:

Kyphosis

a factor with levels absent present indicating if a kyphosis (a type of deformation) was present after the operation.

Age

in months

Number

the number of vertebrae involved

Start

the number of the first (topmost) vertebra operated on.

Source

John M. Chambers and Trevor J. Hastie eds. (1992) Statistical Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA.

Examples

fit <- rpart(Kyphosis ~ Age + Number + Start, data = kyphosis)
fit2 <- rpart(Kyphosis ~ Age + Number + Start, data = kyphosis,
              parms = list(prior = c(0.65, 0.35), split = "information"))
fit3 <- rpart(Kyphosis ~ Age + Number + Start, data=kyphosis,
              control = rpart.control(cp = 0.05))
par(mfrow = c(1,2), xpd = TRUE)
plot(fit)
text(fit, use.n = TRUE)
plot(fit2)
text(fit2, use.n = TRUE)
--

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

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