fitglmtreats the group ofL– 1indicator variables as a single variable. If you want to treat the indicator variables as distinct predictor variables, create indicator variables manually by usingdummyvar. Then use the indicator variables, except the one corresponding to the reference level of the ca...
steptreats the group ofL– 1indicator variables as a single variable. If you want to treat the indicator variables as distinct predictor variables, create indicator variables manually by usingdummyvar. Then use the indicator variables, except the one corresponding to the reference level of the categ...
Menu check indicator, specified as'off'or'on', or as numeric or logical1(true) or0(false). A value of'on'is equivalent totrue, and'off'is equivalent tofalse. Thus, you can use the value of this property as a logical value. The value is stored as an on/off logical value of type...
z-coordinates, specified as a column vector. Simplify indicator, specified as a numeric or logical0(false) or1(true). Output Arguments collapse all Indices, returned as a vector or matrix. For 2-D points,kis a column vector containing the row indices of the input points that make up the...
The default value for CollectOutput is 0 (false), so textscan returns each column of the numeric data in a separate array. Set the file position indicator to the beginning of the file. Get frewind(fileID); Reread the file and set CollectOutput to 1 (true) to collect the consecutive ...
If x and y are matrices the first column of x is plotted against the first column of y. This is then repeated for each pair of columns of x and y. plot(x1,y1,'type1',x2,y2,'type2') plots the vector x1 against y1 using the line or point type given by type1, and the ...
Create a column vector of categorical data specifying gender. Get gender = categorical({'Male';'Female';'Female';'Male';'Female'}); Create dummy variables for gender. Get dv = dummyvar(gender) dv = 5×2 0 1 1 0 1 0 0 1 1 0 dv has five rows corresponding to the number of...
use (inArray, 1) if only row, (inArray, 2) if only column needed aZero = zeros(m, n) - creates an m by n array with all elements 0 aOnes = ones(m, n) - creates an m by n array with all elements set to 1 aEye = eye(m, n) - creates an m by n array with main ...
The true misclassification cost is the cost of classifying an observation into an incorrect class. You can set the true misclassification cost per class by using theCostname-value argument when you create the classifier.Cost(i,j)is the cost of classifying an observation into classjwhen its true...
A = importdata(ngc6543a.jpg); image(A) 4.2 高级文件的输入输出 importdata —从文件中装载数据 * Examples: Import a Text File and Specify Delimiter and Column Header. Using a text editor, create a space-delimited ASCII file with column headers called myfile01.txt. Day1 Day2 Day3 Day4 ...