Gnuplot With Standard Deviation Error Bars
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Gnuplot Error Bars And Lines
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Gnuplot Set Bars
each other. Join them; it only takes a minute: Sign up gnuplot with errorbars plotting up vote 9 down vote favorite 4 The data in my "file.txt" file are as in the following (sample row shown) 31 1772911000 6789494.2537881 Note that the second column is the mean and the third is the standard deviation of my input sample.
Gnuplot Boxerrorbars
So, for the error bar, I would need the bar at the x axis value 31, with the error bar start at (second column value)-(third column value), and end at (second column value)+(third column value). I tried the following: plot "file.txt" using ($1-$2):1:($2+$1) with errorbars but the result is inappropriate. Any help? plot gnuplot share|improve this question asked May 21 '12 at 11:16 user506901 3343613 add a comment| 2 Answers 2 active oldest votes up vote 16 down vote accepted You need x:y:err, so try plot "file.txt" using 1:2:3 with yerrorbars You may instead want candlesticks. These are generally a box with error bars extending out of the top and bottom, but setting the mins and maxes the same should give you boxes of the required size: plot "file.txt" using 1:($2-$3):($2-$3):($2+$3):($2+$3) with candlesticks share|improve this answer edited May 21 '12 at 14:13 answered May 21 '12 at 11:38 Phil H 12.6k54083 Thanks. The first worked, but the second produced gnuplot> set style boxplot candlesticks ^ expecting 'data', 'function', 'line',
ylow and yhigh, default format)" plot "err.dat" with errorbars will result in (gif mode) # this gnuplot xyerrorbars should look the same set title "Demonstration of error bars (both
Gnuplot Error Bars Color
ylow and yhigh)" plot "err.dat" using 1:2:3:4 with errorbars will result in (gif mode) set title "Demonstration gnuplot boxerrorbars example of boxes" plot "err.dat" with boxes will result in (gif mode) set title "Demonstration of boxerrorbars" plot "err.dat" with boxerror will result in (gif mode) set title http://stackoverflow.com/questions/10684182/gnuplot-with-errorbars-plotting "Demonstration of xybars" plot "err.dat" using 1:2:3:4:5 with xybars will result in (gif mode) set autoscale set title "Demonstration of error bars (both ylow and yhigh)" set xlabel "Date\nTime" set timefmt "%y%m%d" set xdata time set key right set format x "%m/%d\n%y" plot "futures.dat" using 2:3:4:5 with errorbars will result in (gif mode) set title http://www.csse.uwa.edu.au/programming/gnuplot_demos/errorbar/errorbar.html "Demonstration of financebars" plot "futures.dat" using 2:3:4:5:6 with financebars will result in (gif mode) set title "Demonstration of candlesticks" plot "futures.dat" using 2:3:4:5:6 with candlesticks will result in (gif mode) set xrange [-3:65] set yrange [ 4:14] set timefmt "" set xdata "" set xlabel "" set format x "" set tics set title "Demonstration of error bars (only ydelta)" plot "err.dat" using 1:2:5 with errorbars will result in (gif mode) set title "Plot data file twice to get lines and errorbars" plot "err.dat" with lines, "err.dat" using 1:2:3:4 with errorbars will result in (gif mode) set logscale y set title "Demonstration of error bars (only ydelta) with y logscale" plot [-3:65] [1:100] "err.dat" using 1:2:5 with errorbars set nologscale y will result in (gif mode) set logscale x set title "Demonstration of error bars (only ydelta) with x logscale" plot [1:100] [4:14] "err.dat" using 1:2:5 with errorbars set nologscale x will result in (gif mode) set autoscale set nologscale set title "" woo@playfair.stanford.edu
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the trouble of compiling gnuplot for yourself, it is no use. However, for most things contained in the patch, there is a work-around that should work in gnuplot 4.2. I will discuss those now. Determining the minimum, maximum, and the mean The first thing we will do is to plot the mean, minimum and maximum of a data set. This can easily done in the following way. reset # Produce some dummy data set sample 200 set table 'stats2.dat' plot [0:10] 0.5+rand(0) unset table set yrange [0:2] unset key # Retrieve statistical properties plot 'stats2.dat' u 1:2 min_y = GPVAL_DATA_Y_MIN max_y = GPVAL_DATA_Y_MAX f(x) = mean_y fit f(x) 'stats2.dat' u 1:2 via mean_y # Plotting the minimum and maximum ranges with a shaded background set label 1 gprintf("Minimum = %g", min_y) at 2, min_y-0.2 set label 2 gprintf("Maximum = %g", max_y) at 2, max_y+0.2 set label 3 gprintf("Mean = %g", mean_y) at 2, max_y+0.35 plot min_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ max_y with filledcurves y1=mean_y lt 1 lc rgb "#bbddbb", \ 'stats2.dat' u 1:2 w p pt 7 lt 1 ps 1 At the beginning of our script, we just produce some dummy data, and call a dummy plot. This plot does nothing but fills in the values of the minimum and maximum of the data set. Then we fit a constant function. You can convince yourself that this returns the average of the data set. In the plotting section, we produce three labels, that tell us something about the data set, and plot the data range with shaded region. Easy enough, and in just a couple of lines, we created this figure Calculating the standard deviation Now, what should we do, if we were to calculate the standard deviation? We have already learnt how to calculate the average, so we will use that. Here is the script: reset set sample 200 set table 'stats2.dat' plot [0:10] 0.5+rand(0) unset table set yrange [0:2] unset key f(x) = mean_y fit f(x) 'stats2.dat' u 1:2 via mean_y stddev_y = sqrt(FIT_WSSR / (FIT_NDF + 1 )) # Plotting the range of standard deviation with a shaded background set label 1 gprintf("Mean = %g", mean_y) at 2, min_y-0.2 set label 2 gprintf("Standard deviation = %g", stddev_y) at 2, min_y-0.35 plot mean_y-stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ mean_y+stddev_y with filledcurves y1=mean_y lt 1 lc rgb "#bbbbdd", \ mean_y w l lt 3, 'stats2.dat' u 1:2 w p pt 7 lt 1 ps 1 What we utilise here is the fact that the fit function also sets a couple of variables. One of them is the sum