How do i bin large data sets?

I am trying to bin a large 2000hz data set into averge bins of 100ms for EMG data.

I have tried to reshape the data but Matlab keeps throwing up the problem that there are "not enough input arguments" currently the script reads

%reshape data by order 100
data_binned= mean(reshape(data,100,length,(data)/100,1));

Answer 1

[Robert]

It looks like you have an extra comma after length, which would cause the error you are seeing.

Answer 2

[Connor]

Thank you, that sorted out the issue however I am now getting the error message

"error in reshape: size arguments must be real integers"

Same code with the comma removed!

Answer 3

[Walter Roberson]

Fs = 2000;
t = 0.100;
blocksize = round(Fs*t);

numsamp = length(data);
num_blocks = floor(numsamp/blocksize);
blocks = blocksize * ones(1, num_blocks));
sampsused = num_blocks * blocksize;
if sampsused ~= numsamp
   blocks(end+1) = numsamp - sampsused;
end

datacell = mat2cell(data(:), blocks, 1);

The above will break the data up into separate cell array entries.

But possibly for your purpose you just need

Fs = 2000;
t = 0.100;
blocksize = round(Fs*t);
data_binned = buffer(data(:), blocksize);