#include "party.h"
Go to the source code of this file.
Functions | |
void | C_split (const double *x, int p, const double *y, int q, const double *weights, int n, const int *orderx, SEXP splitctrl, SEXP linexpcov2sample, SEXP expcovinf, double *cutpoint, double *maxstat, double *statistics) |
SEXP | R_split (SEXP x, SEXP y, SEXP weights, SEXP orderx, SEXP linexpcov2sample, SEXP expcovinf, SEXP splitctrl) |
void | C_splitcategorical (const int *codingx, int p, const double *y, int q, const double *weights, int n, double *standstat, SEXP splitctrl, SEXP linexpcov2sample, SEXP expcovinf, double *cutpoint, int *levelset, double *maxstat, double *statistics) |
SEXP | R_splitcategorical (SEXP x, SEXP codingx, SEXP y, SEXP weights, SEXP linexpcov2sample, SEXP linexpcov, SEXP expcovinf, SEXP splitctrl) |
Binary splits
Definition in file Splits.c.
void C_split | ( | const double * | x, | |
int | p, | |||
const double * | y, | |||
int | q, | |||
const double * | weights, | |||
int | n, | |||
const int * | orderx, | |||
SEXP | splitctrl, | |||
SEXP | linexpcov2sample, | |||
SEXP | expcovinf, | |||
double * | cutpoint, | |||
double * | maxstat, | |||
double * | statistics | |||
) |
Search for a cutpoint in a ordered variable x maximizing a two-sample statistic w.r.t. (the influence function of ) the response variable y.
x | raw numeric measurements | |
p | dimension of the transformation | |
y | values of the influence function | |
q | dimension of the influence function | |
weights | case weights | |
n | number of observations | |
orderx | the ordering of the transformations, i.e. R> order(x) | |
splitctrl | an object of class `SplitControl' | |
linexpcov2sample | an (uninitialized) object of class `LinStatExpectCovar' with p = 1 | |
expcovinf | an initialized object of class `ExpectCovarInfluence' | |
cutpoint | return value; pointer to a double for the cutpoint in x | |
maxstat | return value; pointer to a double for the maximal test statistic | |
statistics | return value; pointer to a n-dim double for the statistics |
Definition at line 33 of file Splits.c.
References get_minbucket(), get_minprob(), get_tol(), PL2_covarianceSym, PL2_expectationSym, PL2_linearstatisticSym, and PL2_sumweightsSym.
Referenced by C_Node(), C_splitcategorical(), C_surrogates(), and R_split().
void C_splitcategorical | ( | const int * | codingx, | |
int | p, | |||
const double * | y, | |||
int | q, | |||
const double * | weights, | |||
int | n, | |||
double * | standstat, | |||
SEXP | splitctrl, | |||
SEXP | linexpcov2sample, | |||
SEXP | expcovinf, | |||
double * | cutpoint, | |||
int * | levelset, | |||
double * | maxstat, | |||
double * | statistics | |||
) |
Search for a cutpoint in a unordered factor x maximizing a two-sample statistic w.r.t. (the influence function of ) the response variable y.
codingx | the coding of x, i.e. as.numeric(x) | |
p | dimension of the transformation | |
y | values of the influence function | |
q | dimension of the influence function | |
weights | case weights | |
n | number of observations | |
codingx | the coding of x, i.e. as.numeric(x) | |
standstat | the vector of the standardized statistics for x, y, weights | |
splitctrl | an object of class `SplitControl' | |
linexpcov2sample | an (uninitialized) object of class `LinStatExpectCovar' with p = 1 | |
expcovinf | an initialized object of class `ExpectCovarInfluence' | |
cutpoint | return value; pointer to a double for the cutpoint in x | |
levelset | return value; pointer to a p-dim 0/1 integer | |
maxstat | return value; pointer to a double for the maximal test statistic | |
statistics | return value; pointer to a n-dim double for the statistics |
Definition at line 217 of file Splits.c.
References C_split().
Referenced by C_Node(), and R_splitcategorical().
SEXP R_split | ( | SEXP | x, | |
SEXP | y, | |||
SEXP | weights, | |||
SEXP | orderx, | |||
SEXP | linexpcov2sample, | |||
SEXP | expcovinf, | |||
SEXP | splitctrl | |||
) |
R-interface to C_split (does not handle ordered y's)
x | values of the transformation | |
y | values of the influence function | |
weights | case weights | |
orderx | the ordering of the transformations, i.e. R> order(x) | |
linexpcov2sample | an (uninitialized) object of class `LinStatExpectCovar' with p = 1 | |
expcovinf | an initialized object of class `ExpectCovarInfluence' | |
splitctrl | an object of class `SplitControl' |
Definition at line 175 of file Splits.c.
References C_split(), ncol(), and nrow().
SEXP R_splitcategorical | ( | SEXP | x, | |
SEXP | codingx, | |||
SEXP | y, | |||
SEXP | weights, | |||
SEXP | linexpcov2sample, | |||
SEXP | linexpcov, | |||
SEXP | expcovinf, | |||
SEXP | splitctrl | |||
) |
R-interface to C_splitcategorical (does not handle ordered y's)
x | the values of the x-transformation | |
codingx | the coding of x, i.e. as.numeric(x) | |
y | values of the influence function | |
weights | case weights | |
linexpcov2sample | an (uninitialized) object of class `LinStatExpectCovar' with p = 1 | |
linexpcov | an initialized object of class `LinStatExpectCovar' | |
expcovinf | an initialized object of class `ExpectCovarInfluence' | |
splitctrl | an object of class `SplitControl' |
Definition at line 311 of file Splits.c.
References C_LinStatExpCov(), C_splitcategorical(), C_standardize(), get_dimension(), get_tol(), ncol(), nrow(), PL2_covarianceSym, PL2_expcovinfSym, PL2_expectationSym, and PL2_linearstatisticSym.