R Dataset / Package DAAG / mifem

How To Create a 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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Plot

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-daag-mifem.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-66652.csv 52.59 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 mifem data set which pertains to Mortality Outcomes for Females Suffering Myocardial Infarction. The mifem data set is found in the DAAG R package. You can load the mifem data set in R by issuing the following command at the console data("mifem"). This will load the data into a variable called mifem. If R says the mifem data set is not found, you can try installing the package by issuing this command install.packages("DAAG") 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 mifem R data set. The size of this file is about 53,855 bytes.

Documentation

Mortality Outcomes for Females Suffering Myocardial Infarction

Description

The mifem data frame has 1295 rows and 10 columns. This is the female subset of the 'monica' data frame

Usage

mifem

Format

This data frame contains the following columns:

outcome

mortality outcome, a factor with levels live, dead

age

age at onset

yronset

year of onset

premi

previous myocardial infarction event, a factor with levels y, n, nk not known

smstat

smoking status, a factor with levels c current, x ex-smoker, n non-smoker, nk not known

diabetes

a factor with levels y, n, nk not known

highbp

high blood pressure, a factor with levels y, n, nk not known

hichol

high cholesterol, a factor with levels y, n nk not known

angina

a factor with levels y, n, nk not known

stroke

a factor with levels y, n, nk not known

Source

Newcastle (Australia) centre of the Monica project; see the web site http://www.ktl.fi/monica

Examples

print("CART - Example 10.7")
summary(mifem)
pause()require(rpart)
mifem.rpart <- rpart(outcome ~ ., data = mifem, cp = 0.0025)
plotcp(mifem.rpart)
printcp(mifem.rpart)
pause()mifemb.rpart <- prune(mifem.rpart, cp=0.006)
print(mifemb.rpart)
--

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

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