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: PART_I.m
    path of file: ./repos/OPEN_FPE_IFT/Functions_v5-MATLAB
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
% PART I: Standard turbulence analysis
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [data,ikx,bar,tmp_bar,save_path,save_name,Fs,m_data,kin_vis,increment_bin,f, E_f_no_filter, f_avg_no_filter, E_avg_no_filter, P_avg_no_filter,filter,...
    low_freq,data_filter,f_avg_filter,E_f_avg_filter,k_avg_filter,Ek_avg_filter,r_avg_filter,Dr_avg_filter,Dk_avg_filter,...
    lenght_scales,C2,int_L,taylor_L,int_L_calc, taylor_L_calc,epsi,epsi_calc,diss_scale,Ce, Ce_calc, Re, Re_lambd
    
function to plot the mean, std, skewness and kurtosis of sections of a length of 5% of the data  
waitbar(2/ikx,bar,'Check: Stationarity');
[data] = plot_stationarity(data,save_path,save_name);

%% plot_pdf is the function to plot probability density function(PDF) of the data - For more details open this function script
waitbar(3/ikx,bar,'Plot: PDF');
plot_pdf(data,increment_bin,save_path,save_name) 

%% Spectrum of raw data - For more details open this function script
waitbar(4/ikx,bar,'Plot: Spectrum of raw data');
[f, E_f_no_filter, f_avg_no_filter, E_avg_no_filter, P_avg_no_filter,K41_index] = spectrum(data,Fs,increment_bin);

%% lowpass filter of data
filter     = askYesno('Do you want to filter (Low-pass filter) the data?', 'Yes');
if filter==1
    waitfor(msgbox('Use interactive data cursor to select a cut-off Frequency.'));
    uicontrol('Position',[10 10 100 40],'String','Continue','Callback','uiresume(gcbf)');
    uiwait(gcf);
    uicontrol('Position',[10 10 100 40],'String','Processing','Callback','uiresume(gcbf)');
    %Choose the frequency from figure(1): ESD at which you want to use low pass filter
    low_freq = str2double(inputdlg({'Cut-off Frequency (Low-pass filter) in Hz (less than Fs/2):'}));
    close
    waitbar(5/ikx,bar,'Lowpass filter of data');
    % Filter the actual data in order to elliminate unwanted experimental noise at higher frequency
    [data_filter,f_avg_filter,E_f_avg_filter,k_avg_filter,Ek_avg_filter,r_avg_filter,Dr_avg_filter,Dk_avg_filter] = frequency_filter(data,Fs,low_freq,K41_index,kin_vis,filter,save_path,save_name); 
else
	data_filter = data;
    low_freq    = Fs/2;
    close
    [data_filter,f_avg_filter,E_f_avg_filter,k_avg_filter,Ek_avg_filter,r_avg_filter,Dr_avg_filter,Dk_avg_filter] = frequency_filter(data,Fs,low_freq,K41_index,kin_vis,filter,save_path,save_name); 
end