This should be simple but its giving me some trouble. I have a matrix of 57 rows and 3 columns. This matrix is a condensed set of data from 3 data sets with 19 rows of data each. The first 9 rows of each individual data sets are unneeded and need to be removed. So in the full matrix I need to remove the first 9 rows of data, move down 10 rows, remove the next 9 rows of data, move down another 10 rows, and the remove the next 9 rows of data. Does anyone know how I can do this?
How about this?
r = 57; % total rows c = 3; % total columns d = 19; % rows in each data set n = 9; % remove first n rows in each data set
A = cumsum(ones(r,c)); % example data A(mod(1:r,d)<=n & mod(1:r,d)>0,:) = ;
A = rand(57,5); s1 = size(A, 1); index = zeros(1, s1); index(1:19:s1) = 1; index(10:19:s1) = -1; R = A(logical(cumsum(index)), :);
So, to confirm, you need to do the following:
I think this should do it:
M = [(1:57)', rand(57,2)]; %random data for illustration npts = size(M,1); nremove = 9; %number of rows to remove at once nretain = 10; %number of rows to retain at once %which removes to remove removeRows = cell2mat(arrayfun(@(k) k:(k+nremove-1), 1:(nremove+nretain):npts, 'UniformOutput', false)); removeRows(removeRows>npts)=; %ignore rows beyond size of M M(removeRows,:) = ; %remove these rows