tatami_stats::counts::nan Namespace Reference

Functions for counting NaNs on each dimension. More...

Classes
struct	Options
	NaN-counting options. More...

Functions
template<typename Value_ , typename Index_ , typename Output_ >
void	apply (bool row, const tatami::Matrix< Value_, Index_ > &mat, Output_ *output, const Options &nopt)
template<typename Output_ = int, typename Value_ , typename Index_ >
std::vector< Output_ >	by_row (const tatami::Matrix< Value_, Index_ > &mat, const Options &nopt)
template<typename Output_ = int, typename Value_ , typename Index_ >
std::vector< Output_ >	by_row (const tatami::Matrix< Value_, Index_ > &mat)
template<typename Output_ = int, typename Value_ , typename Index_ >
std::vector< Output_ >	by_column (const tatami::Matrix< Value_, Index_ > &mat, const Options &nopt)
template<typename Output_ = int, typename Value_ , typename Index_ >
std::vector< Output_ >	by_column (const tatami::Matrix< Value_, Index_ > &mat)

Detailed Description

Functions for counting NaNs on each dimension.

Function Documentation

apply()

template<typename Value_ , typename Index_ , typename Output_ >

void tatami_stats::counts::nan::apply	(	bool	row,
		const tatami::Matrix< Value_, Index_ > &	mat,
		Output_ *	output,
		const Options &	nopt )

Template Parameters

Value_	Type of the matrix value, should be summable.
Index_	Type of the row/column indices.
Output_	Type of the output value. This should be at least large enough to hold the dimensions of p.

Parameters

	row	Whether to obtain a count for each row.
	mat	Instance of a tatami::Matrix.
[out]	output	Pointer to an array of length equal to the number of rows. On output, this will store the number of NaNs in each row.
	nopt	Counting options.

by_row() [1/2]

template<typename Output_ = int, typename Value_ , typename Index_ >

std::vector< Output_ > tatami_stats::counts::nan::by_row	(	const tatami::Matrix< Value_, Index_ > &	mat,
		const Options &	nopt )

Wrapper around apply() for row NaN counts.

Template Parameters

Output_	Type of the output value.
Value_	Type of the matrix value, should be summable.
Index_	Type of the row/column indices.

Parameters

mat	Instance of a tatami::Matrix.
nopt	Counting options.

Returns

A vector of length equal to the number of rows, containing the number of NaNs in each row.

by_row() [2/2]

template<typename Output_ = int, typename Value_ , typename Index_ >

std::vector< Output_ > tatami_stats::counts::nan::by_row

(

const tatami::Matrix< Value_, Index_ > &

mat

)

Overload with default options.

Template Parameters

Output_	Type of the output value.
Value_	Type of the matrix value, should be summable.
Index_	Type of the row/column indices.

Parameters

mat	Instance of a tatami::Matrix.

Returns

A vector of length equal to the number of rows, containing the number of NaNs in each row.

by_column() [1/2]

template<typename Output_ = int, typename Value_ , typename Index_ >

std::vector< Output_ > tatami_stats::counts::nan::by_column	(	const tatami::Matrix< Value_, Index_ > &	mat,
		const Options &	nopt )

Wrapper around apply() for column NaN counts.

Template Parameters

Output_	Type of the output value. This should be at least large enough to hold the dimensions of p.
Value_	Type of the matrix value, should be summable.
Index_	Type of the row/column indices.

Parameters

mat	Instance of a tatami::Matrix.
nopt	Counting options.

Returns

A vector of length equal to the number of columns, containing the number of NaNs in each column.

by_column() [2/2]

template<typename Output_ = int, typename Value_ , typename Index_ >

std::vector< Output_ > tatami_stats::counts::nan::by_column

(

const tatami::Matrix< Value_, Index_ > &

mat

)

Overload with default options.

Template Parameters

Output_	Type of the output value. This should be at least large enough to hold the dimensions of p.
Value_	Type of the matrix value, should be summable.
Index_	Type of the row/column indices.

Parameters

mat	Instance of a tatami::Matrix.

Returns

A vector of length equal to the number of columns, containing the number of NaNs in each column.