Hi,

Try

pgamma(amounts,shape_gamma,scale=scale_gamma)

as I am guessing you mean scale_gamma to be the scale of the distribution, but 
are using it as the rate ( = 1 / scale) instead

Martyn

-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Amelia Marsh
Sent: 11 March 2015 09:42
To: r-help@r-project.org
Subject: [R] Gamma Distribution - is there any problem with "pgamma"?

Dear R forum

I have following data

amounts = 
c(928906.144,156091.0576,433798.3404,993425.7224,1323976.364,649106.9339, 
369967.2612,2528872.35,1226093.655,1145446.149,1809624.453,599329.0394,2200955.213,2583318.064,745625.8069,961828.8828,1744841.313,1939390.005,1077873.654,729924.2713,803584.2636,287020.8529,530910.9004,818574.0089,1908133.51,262336.0893,593808.2542,780258.1354)

# Estimating Gamma distribution parameters

shape_gamma             <-              (mean(amounts)/sd(amounts))^2 


scale_gamma      <-             (sd(amounts)^2/mean(amounts))


Fx                              <-              pgamma(amounts, shape_gamma, 
scale_gamma)



I get following values of Fx

> Fx 
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 



I have tried this for different dataset but still each time I am getting values 
of Fx as 1's only.

Is there any problem with pgamma command?

Kindly advise.

Regards

Amelia

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