Hello,
I am trying to fit my histogram to a smooth Gaussian curve(the data
closely resembles one except a few bars).
This is my code :
#!/usr/bin/Rscript
out_file = "irc_20M_opencl_test.png"
png(out_file)
scan("my.csv") -> myvals
hist(myvals, breaks = 50, main = "My Distribution",xlab = "My Values")
pdens <- density(myvals, na.rm=T)
plot(pdens, col="black", lwd=3, xlab="My values", main="Default KDE")
dev.off()
print(paste("Plot was saved in:", getwd()))
the problem here is that I a jagged distribution, you can see the result :
http://s15.postimage.org/9ucmkx3bf/foobar.png
this is the original histogram :
http://s12.postimage.org/e0lfp7d5p/foobar2.png
any ideas on how I can smoothen it to a Gaussian curve?
Thanks,
- vihan
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