diff --git a/dat2allan.m b/dat2allan.m
new file mode 100755
index 0000000..5e02b0b
--- /dev/null
+++ b/dat2allan.m
@@ -0,0 +1,42 @@
+#!/usr/bin/octave-cli -q
+
+# 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)
+	ad_all = [];
+	for i = [1:length(col)]
+		data.freq = load(filename)(:,col(i)).*mult(i);
+		if ad_opt(i) == 1
+			data.freq = detrend(data.freq);
+		elseif ad_opt(i) == 2
+			data.freq = data.freq./mean(data.freq);
+		elseif ad_opt(i) == 3
+			data.freq = detrend(data.freq./mean(data.freq));
+		end
+		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);
+		ad_all = horzcat(ad_all, ad', err');
+	end
+end
+dlmwrite(stdout, horzcat(tau', ad_all), '\t')
+exit