Last data update: 2014.03.03

R: Prostate cancer dataset
prostateR Documentation

Prostate cancer dataset

Description

The prostate dataset was obtained from a study carried in Le (2006). This study was conducted to evaluate the clinical usefulness of the level of acid phosphatase in blood serum (APBS) x 100 to predict whether nodal involvement is present.

Usage

data(prostate)

Format

A data frame with 53 observations on the following 2 variables.

marker

level of acid phosphatase in blood serum. Numeric vector

status

true disease status (absence/presence of nodal involvement). Numerical vector (0=absence, 1=presence)

Source

Le, C.T. (2006). A solution for the most basic optimization problem associated with an ROC curve. Statistical Methods in Medical Research 15, 571–584.

References

Le, C.T. (2006). A solution for the most basic optimization problem associated with an ROC curve. Statistical Methods in Medical Research 15, 571–584.

Examples

data(prostate)
summary(prostate)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GsymPoint)
Loading required package: truncnorm
Loading required package: Rsolnp
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GsymPoint/prostate.Rd_%03d_medium.png", width=480, height=480)
> ### Name: prostate
> ### Title: Prostate cancer dataset
> ### Aliases: prostate
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(prostate)
> summary(prostate)
     marker           status      
 Min.   : 40.00   Min.   :0.0000  
 1st Qu.: 50.00   1st Qu.:0.0000  
 Median : 65.00   Median :0.0000  
 Mean   : 69.42   Mean   :0.3774  
 3rd Qu.: 78.00   3rd Qu.:1.0000  
 Max.   :187.00   Max.   :1.0000  
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>