clt | R Documentation |
Central Limit Theorem simulation
clt(
dist,
n = 100,
m = 100,
norm_mean = 0,
norm_sd = 1,
binom_size = 10,
binom_prob = 0.2,
unif_min = 0,
unif_max = 1,
expo_rate = 1
)
dist |
Distribution to simulate |
n |
Sample size |
m |
Number of samples |
norm_mean |
Mean for the normal distribution |
norm_sd |
Standard deviation for the normal distribution |
binom_size |
Size for the binomial distribution |
binom_prob |
Probability for the binomial distribution |
unif_min |
Minimum for the uniform distribution |
unif_max |
Maximum for the uniform distribution |
expo_rate |
Rate for the exponential distribution |
See https://radiant-rstats.github.io/docs/basics/clt.html for an example in Radiant
A list with the name of the Distribution and a matrix of simulated data
clt("Uniform", 10, 10, unif_min = 10, unif_max = 20)
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