Hello,
You are fitting a vector other than the vector 'x'.
And you are mistaking the parameter scale for rate.
est <- fitdistr(x,"gamma")$estimate
#plot the gamma curve with the found parameters
hist(x, breaks=Size, freq=FALSE, xlab="Drop Size", ylab="No. of Drops")
curve(dgamma(x, rate=est["rate"], shape=est["shape"]),from=0, to=16,
main="Gamma
distribution", ylab="Probability", add = TRUE, col = "red")
Hope this helps,
Rui Barradas
Em 20-05-2013 16:44, Lorentz, Andrew escreveu:
Good afternoon,
I have some rainfall drop size data (frequency count within drop size) that is
already arranged into specific bins (Size). I am looking to fit a gamma curve
onto a histogram of the data.
At the moment I have been able to create estimate the gamma parameters from the
PDF of the frequencies. And plot the points on the gamma curve. However, the
x-axis is only a count and not the specific drop size values. Nor have I been
able to plot the histogram and the curve together.
Could you advise? Many thanks.
Code:
# Load the probability data from the Drop Size Distribution
PDF=c(0.0941,0.2372,0.2923,0.1750,0.0863,0.0419,0.0207,0.0128,0.0142,0.0071,0.0041,0.0031,0.0032,0.0057,0.0022,0.0001)
Freq =
c(0,0,197284,497395,613062,366975,181037,87926,43432,26889,29728,14877,8691,6457,6778,1926,4543,123,37,0)
Size =
c(0.0625,0.1875,0.3125,0.4375,0.5625,0.6875,0.8125,0.937,1.063,1.188,1.375,1.625,1.875,2.125,2.375,2.75,3.25,3.75,4.25,4.75)
x<-rep(Size, Freq)
# histogram of probability
hist(x, breaks=Size, freq=TRUE, xlab="Drop Size", ylab="No. of Drops")
dev.new()
# Find the parameters of the gamma curve from the PDF
library(MASS)
fitdistr(PDF,"gamma")
# scale=0.4495207, shape=7.1923309
#plot the gamma curve with the found parameters
curve(dgamma(x, scale=.4495207, shape=7.1923309),from=0, to=16, main="Gamma
distribution", ylab="Probability")
# add the points of the PDF from the data
points(PDF)
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