I want to remove any of the rows from matrix A whose column 1 is either greater than the max value or less than the min value. I get the following error: What am I doing wrong here? 댓글 수: 0 댓글을 달려면 로그인하십시오...
remove first s and last t rows of a matrix containing NaN, leave lows in the middle containing NaN.There might be smarter solutions to figure out the indices of leading and trailing 1's in nanflag, but this solution works:A
remove row from matrixError using bsxfun Non-singleton dimensions of the two input arrays must match each other.
MATLAB Online에서 열기 I have a matrix A and I want to remove from this matrix each column that contain the value -1. A= [-1.192 -1.020 -1 -1.050 -1 -1 -1.070; -1.213 -1.096 -1 -1.045 -1 -1 -1.102; -1.036 -1.061 -1 -1.085 -1 -1 -1.137; ...
Consider anm-by-ninput matrix array,A: rmmissing(A,1)removes rows ofAthat contain missing data. rmmissing(A,2)removes columns ofAthat contain missing data. Name-Value Arguments Specify optional pairs of arguments asName1=Value1,...,NameN=ValueN, whereNameis the argument name andValueis the...
B= rmoutliers(___,dim)specifies the dimension ofAfor which to remove entries when an outlier is detected using any of the previous syntaxes. For example,rmoutliers(A,2)removes columns instead of rows for a matrixA. example B= rmoutliers(___,Name,Value)specifies additional parameters for det...
You're filling up 2d matrices, and then try to delete single elements of a 2d matrix. Of course, unless you delete whole rows or columns of a 2d matrix, matlab will reshape the matrix into a vector since you can't have 2d matrices with holes in them. Also, if at a step of...
B= rmoutliers(___,dim)specifies the dimension ofAfor which to remove entries when an outlier is detected using any of the previous syntaxes. For example,rmoutliers(A,2)removes columns instead of rows for a matrixA. example B= rmoutliers(___,Name,Value)specifies additional parameters for det...
For example, rmoutliers(A,2) removes columns instead of rows for a matrix A. exampleB = rmoutliers(___,Name,Value) specifies additional parameters for detecting and removing outliers using one or more name-value arguments. For example, rmoutliers(A,"SamplePoints",t) detects outliers in A ...
Given the matrixMin my example, you could Deleterowsthat have M = [1 2 3 4 5 6];%all the other rows have NaN Deleterowsthat areallNaN, this still leaves some NaN, but doesn't delete any number, ending up with: ThemeCopy