% My script below attempts this but I get the error % "Subscript indices must either be real positive integers or logicals." meteodat = [date1 DOY SWin_1_1_1];% date1 is serial date to be used to create new array Unrecognized function or variable...
Now that you’re convinced to try out Python, read on to find out how to get it on your computer and how to switch from MATLAB! Note: GNU Octave is a free and open-source clone of MATLAB. In this sense, GNU Octave has the same philosophical advantages that Python has around code ...
2、Quadrature method approximating the integral by using a finite set of points(用有限点集逼近积分的求积法) (十)Numerical Quadrature Rules(数值求积规则) 1、Basic quadrature rules:(基本求积规则) (1)Minpoint rule(zeroth-order approximation)(用矩形预测大小) (2)Trapezoid rule(first-order approximation...
Then imagesc(A) is going to map 2 into the first color in your color map, and is going to map 5 into the last entry in your color map -- the colors for any particular value are going to depend not on the value itself but rather on how wide the range of values is in A. Now,...
The error you are facing is due to accessing the zeroth index of the vector t=[14 6 3]% creating a simple vector t =1×3 14 6 3 firstElement=t(1)% first element of the array is accessed by index "1" firstElement = 14
Error Message: Array indices must be positive integers or logical values.is going to result in an error, since zero is not a positive integer. Matlab uses 1-based indexing convention, so there is no zeroth index in an array. I'm assuming you meant ...
corrcoef(X) is the zeroth lag of the normalized covariance function, that is, the zeroth lag of xcov(x,'coeff') packed into a square array. R = corrcoef(x,y) where x and y are column vectors is the same as corrcoef([x y]). If x and y are not column vectors, corrcoef conver...
The first two ways of indexing work, because I am either telling MATLAB a particular element (by its position) or by applying a logical "mask" to the entire vector. But the third way does not work. What is the "-1" or "zeroth" element of a vector. It makes no sense...
The matrix R = corrcoef(X) is related to the covariance matrix C = cov(X) by corrcoef(X) is the zeroth lag of the normalized covariance function, that is, the zeroth lag of xcov(x,coeff) packed into a square array. R = corrcoef(x,y) where x and y are column vectors is the ...
corrcoef(X)isthezerothlagofthenormalizedcovariancefunction,thatis,thezerothlagofxcov(x,'coeff')packedintoasquarearray. R=corrcoef(x,y)wherexandyarecolumnvectorsisthesameascorrcoef([xy]).Ifxandyarenotcolumnvectors,corrcoefconvertsthemtocolumnvectors.Forexample,inthiscaseR=corrcoef(x,y)isequivalenttoR=...