| Normal {base} | R Documentation |
The Normal Distribution
Description
These functions provide information about the normal distribution with
mean equal to mean and standard deviation equal to sd.
dnorm gives the density, pnorm gives the distribution
function qnorm gives the quantile function and rnorm
generates random deviates.
If mean or sd are not specified they assume the default
values of 0 and 1, respectively.
The normal distribution has density
f(x) =
\frac{1}{\sqrt{2\pi}\sigma} e^{-(x-\mu)^2/2\sigma^2}
where \mu is the mean of the distribution and
\sigma the standard deviation.
Usage
dnorm(x, mean=0, sd=1)
pnorm(q, mean=0, sd=1)
qnorm(p, mean=0, sd=1)
rnorm(n, mean=0, sd=1)
Arguments
x, q |
vector of quantiles. |
p |
vector of probabilites. |
n |
number of observations. |
mean |
vector of means. |
sd |
vector of standard deviations. |
See Also
dlnorm for the Lognormal distribution.
Examples
dnorm(0) == 1/ sqrt(2*pi)
dnorm(1) == exp(-1/2)/ sqrt(2*pi)
dnorm(1) == 1/ sqrt(2*pi*exp(1))