I have a generated a data set with power law distribution using poweRlaw
package with the following code:
library("poweRlaw")
xmin = 1; alpha = 1.5
con_rns = rplcon(1000, xmin, alpha)
How can I get a log-log plot where x-axis is showing log(m)
and y-axis showing log(freq(m))
for all m in the dataset?
I got the solution:
library("poweRlaw")
xmin = 1; alpha = 1.5
x = rplcon(1000, xmin, alpha)
h <- hist(x, plot=F, breaks=c(seq(0,max(x)+1, .1)))
plot(h$counts, log="xy", pch=20, col="blue",xlab="Value", ylab="Frequency")