[R] Kolmogorov-Smirnov test and the plot of max distance between two ecdf curves

[maxbre]

Hi all, 

given this example 

#start 

a<-c(0,70,50,100,70,650,1300,6900,1780,4930,1120,700,190,940, 
   
760,100,300,36270,5610,249680,1760,4040,164890,17230,75140,1870,22380,5890,2430) 
length(a)

b<-c(0,0,10,30,50,440,1000,140,70,90,60,60,20,90,180,30,90, 
     3220,490,20790,290,740,5350,940,3910,0,640,850,260) 
length(b)

out<-ks.test(log10(a+1),log10(b+1)) 

# max distance D 
out$statistic 

f.a<-ecdf(log10(a+1)) 
f.b<-ecdf(log10(b+1)) 

plot(f.a, verticals=TRUE, do.points=FALSE, col="red") 
plot(f.b, verticals=TRUE, do.points=FALSE, col="green", add=TRUE) 

#inverse of ecdf a
x.a<-get("x", environment(f.a))
y.a<-get("y", environment(f.a))

# inverse of ecdf b
x.b<-get("x", environment(f.b))
y.b<-get("y", environment(f.b))


#end

I want to plot the max distance between the two ecdf curves as in the above
given chart

Is that possible and how? 


Thanks for your help

PS: this is an amended version of a previous thread (but no reply followed)
that I’ve deleted from Nabble repository because I realised it was not
enough clear (now I hope it’s a little better, sorry for that)


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