I have the following script to plot histograms:
set terminal postscript eps enhanced color
set title "Histogram\_CreatesFile"
colour1="#00A0ff"
colour2="navy"
colour3="#ffA000"
colour4="#800000"
set output 'Histogram_CreatesFile.eps'
set yrange [0:]
set style fill solid 0.8 border -1
bin_width = 0.2
set boxwidth bin_width
bin_number(x) = floor(x/bin_width)
rounded(x) = bin_width * ( bin_number(x) + 0.5 )
plot 'Histogram_CreatesFile.txt' using (rounded($1)):(1) smooth frequency with boxes lc rgb colour1 notitle
This is supposed to be empirical realisation of some distribution, so to make it more clear I would like to:
- Normalize the bars appropriately so that they can be compared to a density function (I guess the sum of the areas of the bars should sum-up to unity? That would mean that the height of each bar should be divided by barWidth*numberOfElements)
- On the same picture plot the theoretical distribution function, given by a closed form formula (e.g. Gaussian)
How can I achieve this?