Excluding rows of data with NaN and writing to a new matrix, using indexing

I have a data matix of 84761 x 8 (an example is attached: EditedWindTempMatrix_eg.txt).

I would like to remove the rows that have any NaNs in and re-write the rows with no NaNs to a new matrix (QCMat).

I have used 'isfinite' to determine where there is data. This returns a 84761 x 8 logical matrix (an example is attached: idx_eg.txt)

When I run the script, I receive an error (Subscripted assignment dimension mismatch.) associated with line:

QCMat(Rowassign,:)=EditedWindTempMatrix(i,:);

How do I assign the rows of data to the new matrix?

Thank you, Jenny

%%remove the NaNs from the data and write out the data to a new matrix QCMat
idx = isfinite(EditedWindTempMatrix); % returns a matrix with 8 columns with 1 = true; 0 = false

% Check each row of data to see whether it has data - using isfinite - and write the rows with data to a new matrix
[NrRows, NrCols]=size(EditedWindTempMatrix);
Rowassign=1;
for i = 1:NrRows;
    Datacheck=sum(idx(i,:)); % add the results along a row from the isfinte command.  If the ans <NrCols then there is a NaN in that row so we leave it out of the new matrix.
    if Datacheck==NrCols;
        QCMat(Rowassign,:)=EditedWindTempMatrix(i,:);
        Rowassign=Rowassign+1;
    end
end

Answer 1

[Jos (10584)]

    A = [ 1 2 3 ; 4 5 NaN ; 6 7 8 ; NaN NaN 9 ; 10 NaN 11 ; 12 13 14] ; % a matrix with  NaNs in some rows

    tf1 = isnan(A) % where are the NaNs
    tf2 = any(tf1,2) % where are the rows with NaN
    tf3 = ~tf2  % where are the rows with no NaNs

    B = A(tf3,:) % select those rows

% or use all (with a little different approach and in one big step)

C = A(all(~isnan(A),2),:)

[Jenny]

Thank you