This is essentially the equivalent of a QQ plot for Poisson distribution, which can not use QQ plots since the distribution is of discrete data. Michael Friendly tells you how to use these and gives SAS code on 51 on in his book "Visualizing Categorical Data"

Sample code

Title ' Poissoness Plot: Horskicks';

Data horskicks;

input deaths corpsyrs;

label deaths = 'number of Deaths'

corpsyrs =' Number of Corps years':

datalines;

0 109

1 65

2 22

3 3

4 1

;

%poisplot (data=horskick, count=Deaths, freq=corpsyrs);

Obviously you need to run the macro %poisplot first per the link. Hoaglin created the poissonnees plot. Tukey helped create similar ones for logarithmic, geometric and binomila distributions. That dude got around...

Sample code

Title ' Poissoness Plot: Horskicks';

Data horskicks;

input deaths corpsyrs;

label deaths = 'number of Deaths'

corpsyrs =' Number of Corps years':

datalines;

0 109

1 65

2 22

3 3

4 1

;

%poisplot (data=horskick, count=Deaths, freq=corpsyrs);

Obviously you need to run the macro %poisplot first per the link. Hoaglin created the poissonnees plot. Tukey helped create similar ones for logarithmic, geometric and binomila distributions. That dude got around...

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