How to calculate probability of Hypergeometric distribution in R

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Hypergeometric distribution is connected with taking n items (no replacement) from N items, where k items labeled success and N-k items failure. The success number x of n selected items follows hypergeometric distribution. To calculate the probability of x using R, function dhyper() can be applied. The basic form of the function is:

dhyper(x, m, n, k)

Where

m and n represents the success and failure items in total,

k represents k items to select, and

x represent success items from those selected.

Next example show the calculation of probability of white ball, from a group of white ball and black ball urn.

# Specify x-values for dhyper function
#x between 4 and 10, integers
x_dhyper <- seq(4, 10, by = 1)
x_dhyper 
#output
4  5  6  7  8  9 10
# Apply dhyper function, to calculate probability of x white ball
#selecting 16 balls from from 15 white balls, and 10 black balls, 
y_dhyper <- dhyper(x_dhyper, m = 15, n = 10, k = 16)   
# Plot dhyper values
plot(y_dhyper) 

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