pearson.c File Reference

#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "include/pearson.h"


Functions
int	pearson (double x, double y, int nr, double k, double kSD, double b, double bSD, double r, double ySD)
int	pearson2 (double x, double y, char is, int nr, double k, double kSD, double b, double bSD, double r, double *ySD)
int	pearson3 (double x, double y, int nr, double k, double kSD, double b, double bSD, double r, double ySD)
int	pearson4 (double x, double y, int nr, double start, double end, double k, double kSD, double b, double bSD, double r, double ySD)
int	best_pearson (double x, double y, int nr, int min_nr, int first, int last, double k, double kSD, double b, double bSD, double r, double ySD)
int	mean (double x, double y, int nr, double xmean, double xsd, double ymean, double ysd)
int	regr_line (double x, double y, int n, double m, double c)
int	highest_slope (double x, double y, int n, int slope_n, double m, double c)

Function Documentation

int best_pearson ( double * x,

double * y,

int nr,

int min_nr,

int * first,

int * last,

double * k,

double * kSD,

double * b,

double * bSD,

double * r,

double * ySD

)

Find the best linear fit to double data (x[], y[]) with nr points. Data may contain NA's, which are not used.
Returns:
Returns the nr of points actually used, or 0, in case of error.

Parameters:

x Data x values

y Data y values

nr Number of data sample values

min_nr Minimum nr of data points to use

first Index [0..last-2] of the first point to use initially, and after fitting

last Index [first+1..nr-1] of the last point to use initially, and after fitting

k slope

kSD S.D. of slope

b y axis intercept

bSD S.D. of y axis intercept

r Pearson's correlation coefficient, r

ySD Residual variance of y values

int highest_slope ( double * x,

double * y,

int n,

int slope_n,

double * m,

double * c

)

Finds the regression line with the highest slope for x,y data
Returns:
Return 0 if ok.

Parameters:

x An array of x axis values

y An array of y axis values

n The number of values in x and y arrays

slope_n The number of samples used to fit the line

m Pointer where calculated slope is written

c Pointer where calculated y axis intercept

int mean ( double * x,

double * y,

int nr,

double * xmean,

double * xsd,

double * ymean,

double * ysd

)

Calculates the mean and SD of data. Data (y data) may contain NA's.
Returns:
Returns !=0 in case of an error.

Parameters:

x Data x values

y Data y values

nr Number of data sample values

xmean Calculated x mean

xsd Calculated SD of x mean

ymean Calculated y mean

ysd Calculated SD of y mean

int pearson ( double * x,

double * y,

int nr,

double * k,

double * kSD,

double * b,

double * bSD,

double * r,

double * ySD

)

Calculate slope and intercept of a line and Pearson's correlation coefficient
Returns:
If successful, function returns value 0.

Parameters:

x data x values

y data y values

nr number of data sample values

k slope

kSD S.D. of slope

b y axis intercept

bSD S.D. of y axis intercept

r Pearson's correlation coefficient, r

ySD Residual variance of y values

int pearson2 ( double * x,

double * y,

char * is,

int nr,

double * k,

double * kSD,

double * b,

double * bSD,

double * r,

double * ySD

)

Calculate slope and intercept of a line and Pearson's correlation coefficient Array char is[] specifies whether single (x,y) points are used in the fit.
Returns:
If successful, function returns value 0.

Parameters:

x data x values

y data y values

is Switch values: 0=do not use this point

nr number of data sample values

k slope

kSD S.D. of slope

b y axis intercept

bSD S.D. of y axis intercept

r Pearson's correlation coefficient, r

ySD Residual variance of y values

int pearson3 ( double * x,

double * y,

int nr,

double * k,

double * kSD,

double * b,

double * bSD,

double * r,

double * ySD

)

Calculate slope and intercept of a line and Pearson's correlation coefficient Data points may contain NA's.
Returns:
If successful, function returns value 0.

Parameters:

x data x values

y data y values

nr number of data sample values

k slope

kSD S.D. of slope

b y axis intercept

bSD S.D. of y axis intercept

r Pearson's correlation coefficient, r

ySD Residual variance of y values

int pearson4 ( double * x,

double * y,

int nr,

double start,

double end,

double * k,

double * kSD,

double * b,

double * bSD,

double * r,

double * ySD

)

Calculate slope and intercept of a line and Pearson's correlation coefficient Data points may contain NA's. Fit start and end times are specified.
Returns:
If successful, function returns value 0.

Parameters:

x data x values

y data y values

nr number of data sample values

start fit start time

end fit end time

k slope

kSD S.D. of slope

b y axis intercept

bSD S.D. of y axis intercept

r Pearson's correlation coefficient, r

ySD Residual variance of y values

int regr_line ( double * x,

double * y,

int n,

double * m,

double * c

)

Calculates regression line slope (m) and y axis intercept.
Returns:
Returns 0 if ok.

Parameters:

x An array of x axis values

y An array of y axis values

n The number of values in x and y arrays

m Pointer where calculated slope is written

c Pointer where calculated y axis intercept

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1.4.1

pearson.c File Reference

Functions

Function Documentation