oph_reduce2¶

Description¶

Behaviour

It reduces a measure array performing the specified operation on blocks of count elements. It supports multiple implicit dimension.

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.
• operator name: type of operator
  • ‘oph_count’: computes the number of actual values (not missing);
  • ‘oph_max’: computes the maximum (default);
  • ‘oph_min’: computes the minimum;
  • ‘oph_avg’: computes the mean;
  • ‘oph_sum’: computes the sum;
  • ‘oph_std’: computes the standard deviation;
  • ‘oph_var’: computes the variance;
  • ‘oph_cmoment’: computes the central moment;
  • ‘oph_acmoment’: computes the absolute central moment;
  • ‘oph_rmoment’: computes the raw moment;
  • ‘oph_armoment’: computes the absolute raw moment;
  • ‘oph_quantile’: computes the quantile;
  • ‘oph_arg_max’: compute the index of the maximum;
  • ‘oph_arg_min’: compute the index of the minimum.
• count: number of elements to be reduced. Default value (0) corresponds to the entire array.
• block size: product of the dimensions that varies more quickly than the dimension to be reduced.
• size: size of the dimension to be reduced. Default value (0) corresponds to the entire array.
• order: order used in evaluation the moments or value of the quantile in range [0, 1].
• missingvalue : value to be considered as missing value; by default it is NAN (for ‘oph_double’ and ‘oph_float’).

Return type

Binary-array.

Examples

Reduces a measure array computing the mean on groups of 10 elements with the internal dimension of size 15 and the external to-be-reduced one of size 10.

oph_reduce2('OPH_DOUBLE','OPH_DOUBLE',measure,'OPH_AVG',10,15,10)

Operation type

Reduce.

Arguments¶