Utils.calculateLinearRegression

Calculates the linear regression of the values @xy and places the result in @m_num, @m_denom, @b and @xbase, representing the function y(x) = m_num/m_denom * (x - xbase) + b that has the least-square distance from all points @x and @y.

@r_squared will contain the remaining error.

If @temp is not %NULL, it will be used as temporary space for the function, in which case the function works without any allocation at all. If @temp is %NULL, an allocation will take place. @temp should have at least the same amount of memory allocated as @xy, i.e. 2*n*sizeof(GstClockTime).

> This function assumes (x,y) values with reasonable large differences > between them. It will not calculate the exact results if the differences > between neighbouring values are too small due to not being able to > represent sub-integer values during the calculations.

struct Utils
static
bool
calculateLinearRegression

Parameters

xy GstClockTime*

Pairs of (x,y) values

temp GstClockTime*

Temporary scratch space used by the function

n uint

number of (x,y) pairs

mNum GstClockTime

numerator of calculated slope

mDenom GstClockTime

denominator of calculated slope

b GstClockTime

Offset at Y-axis

xbase GstClockTime

Offset at X-axis

rSquared double

R-squared

Return Value

Type: bool

%TRUE if the linear regression was successfully calculated

Meta

Since

1.12