oph_gsl_fit_linear_coeff¶

Description¶

Behaviour

It computes the linear regression coefficients.

Parameters

• input measure type: Ophidia typing. Supported types are: ‘oph_double’; ‘oph_float’; ‘oph_long’; ‘oph_int’; ‘oph_short’; ‘oph_byte’.
• output measure type: Ophidia typing. Supported types are: ‘oph_double’; ‘oph_float’; ‘oph_long’; ‘oph_int’; ‘oph_short’; ‘oph_byte’.
• measure: input measure.
• dimension: input dimension; data type must be ‘oph_double’; by deafult, it is set to 1 (array length).
• mask: indicates the best-fit linear regression coefficients to be extracted. Possible configurations are:
  • 000000: invalid;
  • 1xxxxx: intercept (‘c0’);
  • x1xxxx: slope (‘c1’) (default);
  • xx1xxx: term ‘cov00’ of covariance matrix;
  • xxx1xx: term ‘cov01’ of covariance matrix;
  • xxxx1x: term ‘cov11’ of covariance matrix;
  • xxxxx1: sum of squares of the residuals (‘sumsq’).

Return type

Binary-array.

Examples

Compute the slope of a time series.

oph_gsl_fit_linear_coeff('OPH_DOUBLE','OPH_DOUBLE',measure,dimension)

Operation type

Reduce.

Arguments¶