If you need to display a graph of a varible for different configurations, lattice package comes in handy. R code and results are given below.
library("lattice")
# prepare data vectors for different k values
k5x=c(0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.07627765064836003)
k5y=c(0, 0.047619047619047616, 0.047619047619047616, 0.09523809523809523, 0.2857142857142857, 0.3333333333333333)
k10x=c(0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.06102212051868802, 0.09153318077803203)
k10y=c(0, 0.047619047619047616, 0.047619047619047616, 0.09523809523809523, 0.2857142857142857, 0.3333333333333333)
k25x=c(0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.04576659038901602, 0.09153318077803203, 0.13729977116704806)
k25y=c(0, 0.047619047619047616, 0.047619047619047616, 0.19047619047619047, 0.3333333333333333, 0.3333333333333333)
# combine vector values, with group data
df=data.frame(falsep=c(k5x,k10x,k25x),detected=c(k5y,k10y,k25y),grp=c(rep("k5",6),rep("k10",6),rep("k25",6)))
xyplot(detected~falsep,data=df,groups = grp,type = "l",auto.key = TRUE)
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