interpolating row data in a matrix

I have a large set of data that I need to linearly interpolate evenly by a factor of 22. The way that the data is organised means that the each row of data needs to be interpolated instead of each column, how do I make it so that rows of data are interpolated instead of columns?

Answer 1

[Natalie]

Sat down with someone and worked it out together:

num_rows = length(a); num_columns = 22;

b = zeros(num_rows,num_columns); c = zeros(num_rows,num_columns);

for i = 1:num_rows

        count = a(i,13); 
        int_c(i,:) = (0:1/(num_columns - 1):1)*c(i,count);
        int_b(i,:) = interp1(b(i,1:count), b(i,1:count), new_thick(i,:),'spline');
    end
end

Answer 2

[Walter Roberson]

newV = interp1(X, V.', newX) .';

[Natalie]

Sorry, forgot to mention that there are a bunch of Nan values so this doesn't work

Answer 3

[Youssef Khmou]

large data means down sampling?

If it is the other case, you can interpolate row by row as in this example :

 r=randn(30);

 for n=1:30
  G(n,:)=interp(r(n,:),22);
 end

[Natalie]

Sorry what I meant by large data I meant large in size, about 1000 rows and 100 columns. I wish to interpolate the data along the rows not columns, so interpolate the data present in each column of a row. Also I forgot to mention that there is also the problem of a lot of Nan values