tatami_stats::skip_nan::RssBuffers< Output_, Count_ > Struct Template Reference

Result buffers for skip_nan::rss(). More...

#include <rss.hpp>

Public Attributes
Output_ *	mean
Output_ *	rss
Count_ *	count

Detailed Description

template<typename Output_, typename Count_>
struct tatami_stats::skip_nan::RssBuffers< Output_, Count_ >

Result buffers for skip_nan::rss().

Template Parameters

Output_	Floating-point type of the output data. This should be capable of storing NaNs.
Count_	Numeric type of the non-NaN counts. This is typically an integer type.

Member Data Documentation

mean

template<typename Output_ , typename Count_ >

Output_* tatami_stats::skip_nan::RssBuffers< Output_, Count_ >::mean

Pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::rss(), this is filled with the sample mean of each row/column.

rss

template<typename Output_ , typename Count_ >

Output_* tatami_stats::skip_nan::RssBuffers< Output_, Count_ >::rss

Pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::rss(), this is filled with the RSS of each row/column.

count

template<typename Output_ , typename Count_ >

Count_* tatami_stats::skip_nan::RssBuffers< Output_, Count_ >::count

Pointer to an array of length equal to the appropriate dimension extent (rows for row = true, columns otherwise). After skip_nan::rss(), this is filled with the number of unskipped observations in each row/column.

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The documentation for this struct was generated from the following file:

• tatami_stats/skip_nan/rss.hpp