![]() ![]() Obviously, these distinctions make sense only, if there are more than one minimum or maximum. That would have given the position of the last minimum of the data file. The minimum of this plot is nothing, but the x position of the first minimum. What this line does is substitute min_y, when the second column (whose minimum we extracted before) is equal to the minimum, and an undefined value, 1/0, otherwise. Having done that, we retrieve the positions of the minimum and maximum, by calling a dummy plot on the columns Set label 2 'Maximum' at max_pos_x, max_y 0.3 centreįirst, we retrieve the values of the minimum and the maximum by using a dummy plot. Set label 1 'Minimum' at min_pos_x, min_y-0.3 centre Set arrow 2 from max_pos_x, max_y 0.2 to max_pos_x, max_y 0.02 lw 0.5 Set arrow 1 from min_pos_x, min_y-0.2 to min_pos_x, min_y-0.02 lw 0.5 ![]() # Automatically adding an arrow at a position that depends on the min/max The rest of the plot is trivial, and this script results in the following graph: Therefore, if we take the square root of the sum of residuals divided by the number of degrees of freedom plus one, we get the standard deviation. ![]() However, we know that the number of degrees of freedoms is one less, than the number of data points, for we fit a function with a single parameter. One of them is the sum of the residuals, which is called FIT_WSSR, while another is the number of degrees of freedom, FIT_NDF. What we utilise here is the fact that the fit function also sets a couple of variables. Mean_y w l lt 3, 'stats2.dat' u 1:2 w p pt 7 lt 1 ps 1 Mean_y stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Plot mean_y-stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Set label 2 gprintf("Standard deviation = %g", stddev_y) at 2, min_y-0.35 Set label 1 gprintf("Mean = %g", mean_y) at 2, min_y-0.2 # Plotting the range of standard deviation with a shaded background Stddev_y = sqrt(FIT_WSSR / (FIT_NDF 1 )) Easy enough, and in just a couple of lines, we created this figure In the plotting section, we produce three labels, that tell us something about the data set, and plot the data range with shaded region. You can convince yourself that this returns the average of the data set. This plot does nothing but fills in the values of the minimum and maximum of the data set. Max_y with filledcurves y1=mean_y lt 1 lc rgb "#bbddbb", \Īt the beginning of our script, we just produce some dummy data, and call a dummy plot. Plot min_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ Set label 3 gprintf("Mean = %g", mean_y) at 2, max_y 0.35 Set label 2 gprintf("Maximum = %g", max_y) at 2, max_y 0.2 Set label 1 gprintf("Minimum = %g", min_y) at 2, min_y-0.2 (.) | gnuplot and get this in output.# Plotting the minimum and maximum ranges with a shaded background Plot "$data" using 0:2:xtic(1) with boxes, "" using 0:($2 .01):2 with labels notitle Would produce this gnuplot script: $data << 0.3323 Set term pngcairo size 1280,960 font ",20" Within my bash workflow the script looks like for file in "$' infile Plot " 0.05' $file" using 0:5:xtic(3) with boxes My script takes the data from the third and 5th columns considering only the lines where the value from the 5th column > 0.05, producing bar graph cat graph.png ![]()
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