gnuplot logscale looks the same with every base -
i using gnuplot plot measured data , want focus on smaller values of x. x between 0 , ~65 interesting things happen between x = 0 , x = 1. use logscale.
but looks same every base choose:
f(x) = x**2 p(l) = (1-(l/100))**2 e(l) = p(l)**50 g(l) = e(l)*1000*100 set key bottom left set xtics ("0" 0.001, 0.01, 0.05, 0.1, 0.2, 0.3, 0.5, 0.7, 1, 2, 5, 10, 15, 25, 40, 50, 60) set yrange [0:f(100.5)] set xlabel "loss rate in %" set ylabel "successful requests (100% of expected results) in %" set ytics ("0" f(0), "50" f(50), "75" f(75), "80" f(80), "90" f(90), "100" f(100)) set logscale x 10 plot "collected_$intv.table" using 1:(f(\$2/10)) title "maximum 1 try" lc rgb "red" pt 1 lw 1, \ "collected_$intv.table" using 1:(f(\$2/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$3/10)) title "maximum 2 tries" lc rgb "blue" pt 2 lw 1, \ "collected_$intv.table" using 1:(f(\$3/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$4/10)) title "maximum 3 tries" lc rgb "green" pt 3 lw 1, \ "collected_$intv.table" using 1:(f(\$4/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$5/10)) title "maximum 4 tries" lc rgb "black" pt 5 lw 1, \ "collected_$intv.table" using 1:(f(\$5/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$6/10)) title "maximum 5 tries" lc rgb "red" pt 7 lw 1, \ "collected_$intv.table" using 1:(f(\$6/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$7/10)) title "maximum 6 tries" lc rgb "blue" pt 9 lw 1, \ "collected_$intv.table" using 1:(f(\$7/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$8/10)) title "maximum 7 tries" lc rgb "green" pt 13 lw 1, \ "collected_$intv.table" using 1:(f(\$8/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$9/10)) title "maximum 8 tries" lc rgb "black" pt 17 lw 1, \ "collected_$intv.table" using 1:(f(\$9/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$10/10)) title "maximum 9 tries" lc rgb "red" pt 19 lw 1, \ "collected_$intv.table" using 1:(f(\$10/10)) notitle w lines ls 27, \ "collected_$intv.table" using 1:(f(\$11/10)) title "maximum 10 tries" lc rgb "blue" pt 12 lw 1, \ "collected_$intv.table" using 1:(f(\$11/10)) notitle w lines ls 27, \ g(x)/10 title "calculated probability 1 try" 
what want is: x = 0.01 should nearer x = 0 , x = 0.05 should nearer x = 0.01 , on. distance between increasing x should decrease x grows (that's why use logarithmic scale)
the strange thing when use
set logscale x 2 or
set logscale x 100 it looks same!
how can desired result?
it no wonder looks same. switching log scale means applying log function (to base of 10 default) original data:
x_toplot = log_10( x_data ) if choose arbitrary base, logarithmic laws used conversion standard bases:
x_toplot = log_b( x_data ) = log_10( x_data ) / log_10( b ) the difference factor 1 / log_10( b ), data stretched without changing relative position of points respect each other. gnuplot applies factor fit data graph, won't notice visible difference.
the thing affected specifying arbitrary base log scale tick marks, change 1, 10, 100, ..., 10n 1, b, b², ...bn
you can try axis conversion. have idea on how x-position of... e.g. y=75% depends on number of tries? reverse function candidate own conversion. how implement that, i wrote, well, you!
as said there, difficult interpret non-linear axes correctly, don't use much
finally, plot doesn't bad. fit probability function (blue) each of datasets , plot x-position versus number of tries in second plot.
Comments
Post a Comment