% sort A in descending order (decreasing A values) % and keep the sort index in "sortIdx" [A,sortIdx] = sort(A,'descend'); % sort B using the sorting index B = B(sortIdx); Try consulting thedocumentation for sortif you have other questions...
13 function m = mymedian(v,n) 14 % MYMEDIAN Another example of a local function. 15 16 w = sort(v); 17 if rem(n,2) == 1 18 m = w((n + 1)/2); 19 else 20 m = (w(n/2) + w(n/2 + 1))/2; 21 end 22 end 另外,还有嵌套函数(Nested Functions),顾名思义,它定义在...
I have some functions defined inside a array like this. And I can call it like this options.checkInput($(this));. This is working. Now I want to call any of those defined functions dynamically. So I h... word转pdf后保证图片清晰的方法 ...
I have 2 separate files in this case, where 1 is for the main file, and another is a file containing functions(not in a Cog). I want to have a user respond to the message that a bot outputs and then t... 当你「ping 一下」的时候,你知道它背后的逻辑吗?
However, a copy is made in this scenario because the array is referenced by another variable. The arraysA1andA2can no longer share the same data once the edit is made: A1 = magic(4) A2 = A1 A1(4,4) = 32 Similarly, if you pass the array to a function and edit the array within...
14 % MYMEDIAN Another example of a local function. 15 16 w = sort(v); 17 if rem(n,2) == 1 18 m = w((n + 1)/2); 19 else 20 m = (w(n/2) + w(n/2 + 1))/2; 21 end 22 end 另外,还有嵌套函数(Nested Functions),顾名思义,它定义在别的函数内,如下例子(取自Matlab R...
14 % MYMEDIAN Another example of a local function. 15 16 w = sort(v); 17 if rem(n,2) == 1 18 m = w((n + 1)/2); 19 else 20 m = (w(n/2) + w(n/2 + 1))/2; 21 end 22 end 1. 2. 3. 4. 5. 6. 7. ...
(unfiltered)% default is 1% ms - uses this marker size for filled circles% default is 4%% OUTPUT VARIABLE:% out - structure array that contains the following fields:% dd - unfiltered data densities at (x,y)% ddf - filtered data densities at (x,y)% radius - area used in 'circles' ...
Train another classification tree, but set the maximum number of splits at 7, which is about half the mean number of splits from the default classification tree. Cross-validate the model by using 10-fold cross-validation. Get Mdl7 = fitctree(X,Y,'MaxNumSplits',7,'CrossVal','on'); ...