You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: getMeanMSD.m
    path of file: ./repos/msdanalyzer/@msdanalyzer
    
    the code of the file until where you have to start completion: function msmsd = getMeanMSD(obj, indices)
%%GETMEANMSD Compute the weighted mean of all MSD curves.
%
% msd = obj.getMeanMSD computes and return the weighted mean of all
% MSD curves stored in this object. All possible delays are first
% derived, and for each delay, a weighted mean is computed from all
% the MSD curves stored in this object. Weights are set to be the
% number of points averaged to generate the mean square
% displacement value at the given delay. Thus, we give more weight
% to MSD curves with greater certainty (larger number of elements
% averaged).
%
% Results are returned as a N x 4 double array, and ordered as
% following: [ dT M STD N ] with:
% - dT the delay vector
% - M the weighted mean of MSD for each delay
% - STD the weighted standard deviation
% - N the number of degrees of freedom in the weighted mean
% (see http://en.wikipedia.org/wiki/Weighted_mean)
%
% msd = obj.getMeanMSD(indices) only takes into account the MSD

    
function msmsd = getMeanMSD(obj, indices)
%%GETMEANMSD Compute the weighted mean of all MSD curves.
%
% msd = obj.getMeanMSD computes and return the weighted mean of all
% MSD curves stored in this object. All possible delays are first
% derived, and for each delay, a weighted mean is computed from all
% the MSD curves stored in this object. Weights are set to be the
% number of points averaged to generate the mean square
% displacement value at the given delay. Thus, we give more weight
% to MSD curves with greater certainty (larger number of elements
% averaged).
%
% Results are returned as a N x 4 double array, and ordered as
% following: [ dT M STD N ] with:
% - dT the delay vector
% - M the weighted mean of MSD for each delay
% - STD the weighted standard deviation
% - N the number of degrees of freedom in the weighted mean
% (see http://en.wikipedia.org/wiki/Weighted_mean)
%
% msd = obj.getMeanMSD(indices) only takes into account the MSD
% curves with the specified indices.

if ~obj.msd_valid
    obj = obj.computeMSD(indices);
end