R Dataset / Package survival / myeloid

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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Regression

Stem and Leaf Plots

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-survival-myeloid.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-93283.csv 15.21 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 myeloid data set which pertains to Acute myeloid leukemia. The myeloid data set is found in the survival R package. You can load the myeloid data set in R by issuing the following command at the console data("myeloid"). This will load the data into a variable called myeloid. If R says the myeloid data set is not found, you can try installing the package by issuing this command install.packages("survival") 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 myeloid R data set. The size of this file is about 15,574 bytes.

Documentation

Acute myeloid leukemia

Description

This simulated data set is based on a trial in acute myeloid leukemia.

Format

A data frame with 646 observations on the following 9 variables.

id

subject identifier, 1-646

trt

treatment arm A or B

futime

time to death or last follow-up

death

1 if futime is a death, 0 for censoring

txtime

time to hematropetic stem cell transplant

crtime

time to complete response

rltime

time to relapse of disease

Details

This data set is used to illustrate multi-state survival curves. The correlation between within-subject event times strongly resembles that from an actual trial, but none of the actual data values are from that source.

Examples

coxph(Surv(futime, death) ~ trt, data=myeloid)
# See the mstate vignette for a more complete analysis
--

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

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