Distribution function and quantile function
of the normal distribution.
Usage
cdfnor(x, para = c(0, 1))
quanor(f, para = c(0, 1))
Arguments
x
Vector of quantiles.
f
Vector of probabilities.
para
Numeric vector containing the parameters of the distribution,
in the order $\mu, \sigma$ (location, scale).
Value
cdfnor gives the distribution function;
quanor gives the quantile function.
Details
The normal distribution with
location parameter $\mu$ and
scale parameter $\sigma$
has probability density function
$$f(x)={1\over \sigma\sqrt{2\pi}} \exp(-(x-\mu)^2/(2 \sigma^2)).$$
See Also
pnorm for the standard Rversion of the normal distribution.
cdfgno for the generalized normal distribution,
which generalizes the normal distribution.