Displaying 1 result from an estimated 1 matches for "9ucmkx3bf".
2012 Mar 19
1
fitting a histogram to a Gaussian curve
...<- 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