nbinom.simu.plot: Histogram and Q-Q plot of simulated Negative Binomial...
In clttools: Central Limit Theorem Experiments (Theoretical and Simulation)
Description
Usage
Arguments
Value
Examples
Description
Histogram and Q-Q plot of simulated Negative Binomial distribution
Usage
1
nbinom.simu.plot(n, size, prob, times, ylim = NULL, qqplot = FALSE)
Arguments
n
number of observations
size
number of trials (zero or more)
prob
probability of success on each trial
times
number of simulations
ylim
range of y-axis
qqplot
an argument to output Q-Q plot or not, can be TRUE or FALSE
Value
Histogram and Q-Q plot of simulated Negative Binomial distribution, red curve represents theoretical density
Examples
1
nbinom.simu.plot(n = 10, size = 5, prob = 0.2, times = 100)
Example output
clttools documentation built on May 2, 2019, 9:17 a.m.
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Description Usage Arguments Value Examples
Description
Histogram and Q-Q plot of simulated Negative Binomial distribution
Usage
1 | nbinom.simu.plot(n, size, prob, times, ylim = NULL, qqplot = FALSE)
|
Arguments
n |
number of observations |
size |
number of trials (zero or more) |
prob |
probability of success on each trial |
times |
number of simulations |
ylim |
range of y-axis |
qqplot |
an argument to output Q-Q plot or not, can be TRUE or FALSE |
Value
Histogram and Q-Q plot of simulated Negative Binomial distribution, red curve represents theoretical density
Examples
1 | nbinom.simu.plot(n = 10, size = 5, prob = 0.2, times = 100)
|
Example output
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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