R Dataset / Package HSAUR / bladdercancer

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-hsaur-bladdercancer.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-59378.csv 413 bytes
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 bladdercancer data set which pertains to Bladder Cancer Data . The bladdercancer data set is found in the HSAUR R package. You can load the bladdercancer data set in R by issuing the following command at the console data("bladdercancer"). This will load the data into a variable called bladdercancer. If R says the bladdercancer 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. 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 bladdercancer R data set. The size of this file is about 413 bytes.

Documentation

Bladder Cancer Data

Description

Data arise from 31 male patients who have been treated for superficial bladder cancer, and give the number of recurrent tumours during a particular time after the removal of the primary tumour, along with the size of the original tumour.

Usage

data("bladdercancer")

Format

A data frame with 31 observations on the following 3 variables.

time

the duration.

tumorsize

a factor with levels <=3cm and >3cm.

number

number of recurrent tumours.

Details

The aim is the estimate the effect of size of tumour on the number of recurrent tumours.

Source

G. U. H. Seeber (1998), Poisson Regression. In: Encyclopedia of Biostatistics (P. Armitage and T. Colton, eds), John Wiley \& Sons, Chichester.

Examples

  data("bladdercancer", package = "HSAUR")
  mosaicplot(xtabs(~ number + tumorsize, data = bladdercancer))
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Dataset imported from https://www.r-project.org.

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