SN-Markov-Graphen ausgebaut.

[diplomarbeit.git] / images / markov-comparators-16-pct.gnuplot

diff --git a/images/markov-comparators-16-pct.gnuplot b/images/markov-comparators-16-pct.gnuplot
index 0751469..4e93bc4 100644 (file)
--- a/images/markov-comparators-16-pct.gnuplot
+++ b/images/markov-comparators-16-pct.gnuplot
@@ -13,8 +13,8 @@
 #      faq, bugs, etc:   type "help seeking-assistance"
 #      immediate help:   type "help"
 #      plot window:      hit 'h'
-# set terminal wxt 0
-# set output
+set terminal pdfcairo  size 15.00cm, 9.27cm 
+set output 'markov-comparators-16-pct.pdf'
 unset clip points
 set clip one
 unset clip two
@@ -44,7 +44,7 @@ set format cb "% g"
 set angles radians
 unset grid
 set key title ""
-set key inside right top vertical Right noreverse enhanced autotitles nobox
+set key outside center bottom horizontal Right noreverse enhanced autotitles box linetype -1 linewidth 1.000
 set key noinvert samplen 4 spacing 1 width 0 height 0 
 unset label
 unset arrow
@@ -214,6 +214,6 @@ GPFUN_gamma = "gamma(x) = x**(gamma_k - 1) * exp((-1.0) * x / gamma_theta) / (ga
 GPFUN__ln_dgamma = "_ln_dgamma(x, a, b) = a*log(b) - lgamma(a) + (a-1)*log(x) - b*x"
 GPFUN_pgamma = "pgamma(x, shape, rate) = (x<0)? 0 : igamma(shape, x*rate)"
 GPFUN_dgamma = "dgamma(x, shape, rate) = (x<0)? 0 : (x==0)? ((shape<1)? 1/0 : (shape==1)? rate : 0) : (rate==0)? 0 : exp(_ln_dgamma(x, shape, rate))"
-plot [x=63:116] 'images/markov-comparators-16-pct.data' title 'Gemessene Daten', gamma_fit(x) title "Gamma-Verteilung"
-## fit gamma_fit(x) 'images/markov-comparators-16-pct.data' via gamma_k, gamma_theta
+plot [x=63:116] 'markov-comparators-16-pct.data' title 'Gemessene Daten', gamma_fit(x) title "Gamma-Verteilung"
+## fit gamma_fit(x) 'markov-comparators-16-pct.data' via gamma_k, gamma_theta
 #    EOF