poisspdf
statistics: y = poisspdf (x, lambda)
Poisson probability density function (PDF).
For each element of x, compute the probability density function (PDF) of the Poisson distribution with rate parameter lambda. The size of y is the common size of x and lambda. A scalar input functions as a constant matrix of the same size as the other inputs.
Further information about the Poisson distribution can be found at https://en.wikipedia.org/wiki/Poisson_distribution
Input arguments must be double, single, or an integer type;
logical and character arrays are rejected. Integer input is promoted to
double, so the result is always a probability. MATLAB is
inconsistent here: for several of the discrete distributions it returns the
result in the integer class of the input, truncating a probability to
0 or 1.
The density at an infinite abscissa is 0, no proper distribution
placing mass there. MATLAB returns NaN here, as it does for
raylpdf and for no other density, which is an inconsistency there rather
than a convention: it returns 0 at Inf for every other
distribution of the same support.
See also: poisscdf, poissinv, poissrnd, poissfit, poisslike, poisstat
Source Code: poisspdf
Plot various PDFs from the Poisson distribution
x = 0:20;
y1 = poisspdf (x, 1);
y2 = poisspdf (x, 4);
y3 = poisspdf (x, 10);
plot (x, y1, '*b', x, y2, '*g', x, y3, '*r')
grid on
ylim ([0, 0.4])
legend ({'λ = 1', 'λ = 4', 'λ = 10'}, 'location', 'northeast')
title ('Poisson PDF')
xlabel ('values in x (number of occurrences)')
ylabel ('density')