2-D numeric matrix expand all in page C Syntax #include "matrix.h" mxArray *mxCreateNumericMatrix(mwSize m, mwSize n, mxClassID classid, mxComplexity ComplexFlag); Description UsemxCreateNumericMatrixto create a 2-DmxArray. Theclassidspecifies the numeric data type of the elements in the ...
ComplexFlag— Complex array indicator 0|1 Output Arguments expand all pm— Pointer tomxArray mwPointer|0 Examples These Fortran statements create a4-by-3matrix ofREAL*4elements having no imaginary components: C Create 4x3 mxArray of REAL*4 mxCreateNumericMatrix(4, 3, + mxClassIDFromClassName(...
usingdummyvar. Then use the indicator variables, except the one corresponding to the reference level of the categorical variable, when you fit a model. For the categorical predictorX, if you specify all columns ofdummyvar(X)and an intercept term as predictors, then the design matrix becomes ...
This function accepts grouping variables and returns a matrix containing zeros and ones, whose columns are dummy variables for the grouping variables. Create a column vector of categorical data specifying gender. Get gender = categorical({'Male';'Female';'Female';'Male';'Female'}); Create ...
kernel used for building the scale-space and the choice of discrete scales. We present several experiments on phantom data to objectively and quantitatively compare and judge the filters. Experiments on real coronary angiograms enhance the improvement reached by the integration of the edge indicator....
% Rotation matrix Rx = @(V, theta) V*[1 0 0; 0 cos(theta) sin(theta); 0 -sin(theta) cos(theta)]; Rz = @(V, theta) V*[cos(theta) sin(theta) 0;-sin(theta) cos(theta) 0; 0 0 1]; N = 180; Vn = zeros(N, 3); eval(char(fig.UserData)) for i = 1:N tV = Rz...
frewind函数 frewind(FID) sets the file position indicator to the beginning of the file associated with file identifier FID. 回绕文件指针到文件头。 WARNING: Rewinding a FID associated with a tape device may not work even though no error message is generated. * 4.5 数据文件定位写操作 【例2】...
The expected cost matrixCEhas sizeNobs-by-K. Each row ofCEcontains the expected (average) cost of classifying the observation into each of theKclasses.CE(n,k)is K∑i=1ˆP(i∣X(n))C(k∣i), where: Kis the number of classes. ...
T=mxCreateDoubleMatrix(1,1,mxREAL); memcpy((void*)mxGetPr(T),(void*)(&IterNum1),sizeof(double)); engPutVariable(ep,"T",T); engEvalString(ep,"y=Thread1(T);"); printf("%s",strInfoBuf); engEvalString(ep,"disp2(sprintf('Task1:IterNum=%d,Result=%f',T,y));"); ...
Adjusted R-square -- The degree of freedom adjusted R-square. A value closer to 1 indicates a better fit. It is generally the best indicator of the fit quality when you add additional coefficients to your model.RMSE -- The root mean squared error. A value closer to 0 ...