cut_bound

Selects lowest values of each factor after cut() based
on the assumption that the value starts from index 2 and end in comma ",".

Enables computation of epidemiological statistics, including
those where counts or mortality rates of the reference population are
used. Currently supported: excess hazard models (Dickman, Sloggett,
Hills, and Hakulinen (2012) <doi:10.1002/sim.1597>), rates, mean
survival times, relative/net survival (in particular the Ederer II
(Ederer and Heise (1959)) and Pohar Perme (Pohar Perme, Stare, and
Esteve (2012) <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and
standardized incidence and mortality ratios, all of which can be
easily adjusted for by covariates such as age. Fast splitting and
aggregation of 'Lexis' objects (from package 'Epi') and other
computations achieved using 'data.table'.

Joonas Miettinen

popEpi

Functions for Epidemiological Analysis using Population Data

Matti Rantanen

Karri Seppa

cut_bound function

<dl><dt>t</dt>
<dd>is a character vector of elements, e.g. "(20,60]"</dd>
<dt>factor</dt>
<dd>logical; TRUE returns informative character string, FALSE numeric (left value)</dd></dl>

Arguments

Author

Change output values from cut(..., labels = NULL) output — cut_bound

<dl>

<dt>t</dt>
<dd>is a character vector of elements, e.g. "(20,60]"</dd>


<dt>factor</dt>
<dd>logical; TRUE returns informative character string, FALSE numeric (left value)</dd>

</dl>

cut_bound: Change output values from cut(..., labels = NULL) output

Description

Usage

Value

Arguments

Author

Details

Examples