tatami_stats::medians Namespace Reference

Functions for computing dimension-wise medians. More...

Classes
struct	Options
	Median calculation options. More...

Functions
template<typename Output_ = double, typename Value_ , typename Index_ >
Output_	direct (Value_ *ptr, Index_ num, bool skip_nan)
template<typename Output_ = double, typename Value_ , typename Index_ >
Output_	direct (Value_ *value, Index_ num_nonzero, Index_ num_all, bool skip_nan)
template<typename Value_ , typename Index_ , typename Output_ >
void	apply (bool row, const tatami::Matrix< Value_, Index_ > *p, Output_ *output, const medians::Options &mopt)
template<typename Output_ = double, typename Value_ , typename Index_ >
std::vector< Output_ >	by_column (const tatami::Matrix< Value_, Index_ > *p, const Options &mopt)
template<typename Output_ = double, typename Value_ , typename Index_ >
std::vector< Output_ >	by_column (const tatami::Matrix< Value_, Index_ > *p)
template<typename Output_ = double, typename Value_ , typename Index_ >
std::vector< Output_ >	by_row (const tatami::Matrix< Value_, Index_ > *p, const Options &mopt)
template<typename Output_ = double, typename Value_ , typename Index_ >
std::vector< Output_ >	by_row (const tatami::Matrix< Value_, Index_ > *p)

Detailed Description

Functions for computing dimension-wise medians.

Function Documentation

direct() [1/2]

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

Output_ tatami_stats::medians::direct	(	Value_ *	ptr,
		Index_	num,
		bool	skip_nan
	)

Directly compute the median from a dense objective vector.

Parameters

[in]	ptr	Pointer to an array of length num, containing the values of the objective vector. This may be modified on output.
	num	Length of the objective vector, i.e., length of the array at ptr.
	skip_nan	See Options::skip_nan for details.

Template Parameters

Output_	Type of the output value. This should be floating-point to store potential averages.
Value_	Type of the input values.
Index_	Type of the row/column indices.

Returns

The median of values in [ptr, ptr + n).

direct() [2/2]

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

Output_ tatami_stats::medians::direct	(	Value_ *	value,
		Index_	num_nonzero,
		Index_	num_all,
		bool	skip_nan
	)

Directly compute the median from a sparse objective vector.

Parameters

[in]	value	Pointer to an array of length num_nonzero, containing values of the structural non-zeroes. This may be modified on output.
	num_nonzero	Number of structural non-zeros in the objective vector.
	num_all	Length of the obejctive vector, including the structural zeros, i.e., num_all - num_nonzero is the number of zeros.
	skip_nan	See Options::skip_nan for details.

Template Parameters

Output_	Type of the output value. This should be floating-point to store potential averages.
Value_	Type of the input values.
Index_	Type of the row/column indices.

Returns

The median of values in the sparse vector.

apply()

template<typename Value_ , typename Index_ , typename Output_ >

void tatami_stats::medians::apply	(	bool	row,
		const tatami::Matrix< Value_, Index_ > *	p,
		Output_ *	output,
		const medians::Options &	mopt
	)

Compute medians for each element of a chosen dimension of a tatami::Matrix.

Template Parameters

Value_	Type of the matrix value, should be numeric.
Index_	Type of the row/column indices.
Output_	Type of the output value. This should be floating-point to store potential averages.

Parameters

	row	Whether to compute the median for each row. If false, the median is computed for each column instead.
	p	Pointer to a tatami::Matrix.
[out]	output	Pointer to an array of length equal to the number of rows (if row = true) or columns (otherwise). On output, this will contain the row/column medians.
	mopt	Median calculation options.

by_column() [1/2]

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

std::vector< Output_ > tatami_stats::medians::by_column	(	const tatami::Matrix< Value_, Index_ > *	p,
		const Options &	mopt
	)

Wrapper around apply() for column medians.

Template Parameters

Output_	Type of the output. This should be floating-point to store potential averages.
Value_	Type of the matrix value.
Index_	Type of the row/column indices.

Parameters

p	Pointer to a tatami::Matrix.
mopt	Median calculation options.

Returns

A vector of length equal to the number of columns, containing the column medians.

by_column() [2/2]

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

std::vector< Output_ > tatami_stats::medians::by_column

(

const tatami::Matrix< Value_, Index_ > *

p

)

Overload with default options.

Template Parameters

Output_	Type of the output. This should be floating-point to store potential averages.
Value_	Type of the matrix value.
Index_	Type of the row/column indices.

Parameters

p	Pointer to a tatami::Matrix.

Returns

A vector of length equal to the number of columns, containing the column medians.

by_row() [1/2]

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

std::vector< Output_ > tatami_stats::medians::by_row	(	const tatami::Matrix< Value_, Index_ > *	p,
		const Options &	mopt
	)

Wrapper around apply() for row medians.

Template Parameters

Output_	Type of the output. This should be floating-point to store potential averages.
Value_	Type of the matrix value.
Index_	Type of the row/column indices.

Parameters

p	Pointer to a tatami::Matrix.
mopt	Median calculation options.

Returns

A vector of length equal to the number of rows, containing the row medians.

by_row() [2/2]

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

std::vector< Output_ > tatami_stats::medians::by_row

(

const tatami::Matrix< Value_, Index_ > *

p

)

Overload with default options.

Template Parameters

Output_	Type of the output. This should be floating-point to store potential averages.
Value_	Type of the matrix value.
Index_	Type of the row/column indices.

Parameters

p	Pointer to a tatami::Matrix.

Returns

A vector of length equal to the number of rows, containing the row medians.