simple linear regression

Collaboration diagram for simple linear regression:

Data Structures
struct	a_regress_simple
	instance structure for simple linear regression More...

Macros
#define	A_REGRESS_SIMPLE_2(coef, bias)
#define	A_REGRESS_SIMPLE_1(coef)
#define	A_REGRESS_SIMPLE_0()

Typedefs
typedef struct a_regress_simple	a_regress_simple

Functions
void	a_regress_simple_init (a_regress_simple *ctx, a_real coef, a_real bias)
	initialize for simple linear regression
a_real	a_regress_simple_eval (a_regress_simple const *ctx, a_real val)
	compute predicted value for simple linear regression
a_real	a_regress_simple_evar (a_regress_simple const *ctx, a_real val)
	compute predicted value for simple linear regression
void	a_regress_simple_ols_ (a_regress_simple *ctx, a_size n, a_real const *x, a_real const *y, a_real x_mean, a_real y_mean)
	ordinary least squares for simple linear regression
void	a_regress_simple_olsx (a_regress_simple *ctx, a_size n, a_real const *x, a_real const *y, a_real x_mean)
	ordinary least squares for simple linear regression
void	a_regress_simple_olsy (a_regress_simple *ctx, a_size n, a_real const *x, a_real const *y, a_real y_mean)
	ordinary least squares for simple linear regression
void	a_regress_simple_ols (a_regress_simple *ctx, a_size n, a_real const *x, a_real const *y)
	ordinary least squares for simple linear regression
void	a_regress_simple_zero (a_regress_simple *ctx)
	zeroing for simple linear regression

Detailed Description

Macro Definition Documentation

A_REGRESS_SIMPLE_0

#define A_REGRESS_SIMPLE_0

(

)

Value:

A_REGRESS_SIMPLE_1(1)

A_REGRESS_SIMPLE_1

#define A_REGRESS_SIMPLE_1

(

coef

)

Value:

A_REGRESS_SIMPLE_2(coef, 0)

A_REGRESS_SIMPLE_2

#define A_REGRESS_SIMPLE_2	(		coef,
			bias )

Value:

{a_real_c(coef), a_real_c(bias)}

Function Documentation

a_regress_simple_eval()

a_real a_regress_simple_eval	(	a_regress_simple const *	ctx,
		a_real	val )

compute predicted value for simple linear regression

Parameters

[in]	ctx	points to an instance of simple linear regression
[in]	val	independent variable

Returns

predicted value

a_regress_simple_evar()

a_real a_regress_simple_evar	(	a_regress_simple const *	ctx,
		a_real	val )

compute predicted value for simple linear regression

Parameters

[in]	ctx	points to an instance of simple linear regression
[in]	val	dependent variable

Returns

predicted value

a_regress_simple_init()

void a_regress_simple_init	(	a_regress_simple *	ctx,
		a_real	coef,
		a_real	bias )

initialize for simple linear regression

Parameters

[in,out]	ctx	points to an instance of simple linear regression
[in]	coef	regression coefficient
[in]	bias	intercept

a_regress_simple_ols()

void a_regress_simple_ols	(	a_regress_simple *	ctx,
		a_size	n,
		a_real const *	x,
		a_real const *	y )

ordinary least squares for simple linear regression

Parameters

[in,out]	ctx	points to an instance of simple linear regression
[in]	n	number of samples, x[n], y[n]
[in]	x	predictor data, specified as a numeric vector
[in]	y	response data, specified as a numeric vector

a_regress_simple_ols_()

void a_regress_simple_ols_	(	a_regress_simple *	ctx,
		a_size	n,
		a_real const *	x,
		a_real const *	y,
		a_real	x_mean,
		a_real	y_mean )

ordinary least squares for simple linear regression

Parameters

[in,out]	ctx	points to an instance of simple linear regression
[in]	n	number of samples, x[n], y[n]
[in]	x	predictor data, specified as a numeric vector
[in]	y	response data, specified as a numeric vector
[in]	x_mean	mean of predictor data
[in]	y_mean	mean of response data

a_regress_simple_olsx()

void a_regress_simple_olsx	(	a_regress_simple *	ctx,
		a_size	n,
		a_real const *	x,
		a_real const *	y,
		a_real	x_mean )

ordinary least squares for simple linear regression

Parameters

[in,out]	ctx	points to an instance of simple linear regression
[in]	n	number of samples, x[n], y[n]
[in]	x	predictor data, specified as a numeric vector
[in]	y	response data, specified as a numeric vector
[in]	x_mean	mean of predictor data

a_regress_simple_olsy()

void a_regress_simple_olsy	(	a_regress_simple *	ctx,
		a_size	n,
		a_real const *	x,
		a_real const *	y,
		a_real	y_mean )

ordinary least squares for simple linear regression

Parameters

[in,out]	ctx	points to an instance of simple linear regression
[in]	n	number of samples, x[n], y[n]
[in]	x	predictor data, specified as a numeric vector
[in]	y	response data, specified as a numeric vector
[in]	y_mean	mean of response data

a_regress_simple_zero()

void a_regress_simple_zero

(

a_regress_simple *

ctx

)

zeroing for simple linear regression

Parameters

[in,out]

ctx

points to an instance of simple linear regression