mastectomy

Survival times in months after mastectomy of women with breast cancer. 
 The cancers are classified as having metastized or not based on a 
 histochemical marker.

datasets

Functions, data sets, analyses and examples from the
third edition of the book
''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S.
Everitt, Chapman & Hall/CRC, 2014). The first chapter
of the book, which is entitled ''An Introduction to R'',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available. In addition,
Sweave source code for slides of selected chapters is included in
this package (see HSAUR3/inst/slides). The publishers web page is
'<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.

Torsten Hothorn

HSAUR3

A Handbook of Statistical Analyses Using R (3rd Edition)

mastectomy function

A data frame with 42 observations on the following 3 variables.<dl>
 <dt>time</dt>
<dd>survival times in months.</dd> <dt>event</dt>
<dd>a logical indicating if the event was observed (<code>TRUE</code>)
 or if the survival time was censored (<code>FALSE</code>).</dd> <dt>metastasized</dt>
<dd>a factor at levels <code>yes</code> and <code>no</code>.</dd> 
</dl>

Format

Survival Times after Mastectomy of Breast Cancer Patients — mastectomy

A data frame with 42 observations on the following 3 variables.<dl>
 <dt>time</dt>
<dd>survival times in months.</dd>

 <dt>event</dt>
<dd>a logical indicating if the event was observed (<code>TRUE</code>)
 or if the survival time was censored (<code>FALSE</code>).</dd>

 <dt>metastasized</dt>
<dd>a factor at levels <code>yes</code> and <code>no</code>.</dd>

 
</dl>

Last chance! 50% off unlimited learning

mastectomy: Survival Times after Mastectomy of Breast Cancer Patients

Description

Usage

Arguments

Format

Examples