#!/usr/bin/octave-cli --persist

  # allanplot.m computes Allan deviation from temporal dataset
  #
  # use :	allanplot.m file.dat column_i gain_i ad_opt
  #		allanplot.m file.dat [column_i,column_j] [gain_i,gain_j] [ad_opt_i,ad_opt_j]
  #
  # inputs:
  #	file.dat : [string]			file to load
  #	columns : int or [int]		columns to load

  #	fs : int or [int]			sampling frequency

  #	gains : float or [float]	gains to apply
  #	ad_opt : int or [int]		ad options :
  #										0 direct allan computation
  #										1 drift removed ad
  #										2 relative ad
  #										3 relative drift removed ad

  filename = argv(){1};
  col = eval(argv(){2});

  fs = eval(argv(){3});
  mult = eval(argv(){4});
  ad_opt = eval(argv(){5});

  if length(col) == length(mult)

  	figure
  	hold all
  	grid on
  	cc = 'bkcgmry';
  	for i = [1:length(col)]
  		data.freq = load(filename)(:,col(i)).*mult(i);

  		if nargin == 5

  			if ad_opt(i) == 1

  				printf(strcat(filename, ' col', num2str(col(i)), ' drift removed
  
  '))
  				data.freq = detrend(data.freq);

  			elseif ad_opt(i) == 2

  				printf(strcat(filename, ' col', num2str(col(i)), ' relative ad : mean=', num2str(mean(data.freq)), '
  
  '))

  				data.freq = data.freq./mean(data.freq);
  			elseif ad_opt(i) == 3
  				printf(strcat(filename, ' col', num2str(col(i)), ' drift removed relative ad
  
  '))
  				data.freq = detrend(data.freq./mean(data.freq));

  			end
  		endif

  		data.rate = fs(i);

  		[ad, S, err, tau] = allan(data, horzcat(reshape([1:0.1:9]'.*10.^[0:round(log10(length(data.freq)))-1],1,[]), 10^(round(log10(length(data.freq)))-1))./data.rate, strcat(strsplit(filename, '/'){end}, num2str(i)), 0);

  		loglogerr(tau, ad, err, strcat(cc(mod(i, length(cc))), '-s'))
  		leg{i} = strcat(filename, ' col', num2str(col(i)));
  		axis(10.^ceil(log10([tau(1), tau(end)])))
  		hold on
  	end
  	legend(leg)
  	input("Press to continue...");

  end

  exit