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Variance Gamme process 2
n<-1000 dt<-0.1 t<-0 x<-0 g<-rgamma(n, dt, rate = 1) h<-rgamma(n, dt, rate = 1) t<-cumsum(rep(dt,n)) x<-cumsum(g)-cumsum(h) plot(t,x,type='l')
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Adding text to bar plot bars -- elegantly!
Estimate pi with uniform random numbers
G
Data Transformation
BasicPlot
Julia set variant 2
Whole program
Pi estimation
ggplot2 example
Assignment2 Q1