ppPositions {ppcc} | R Documentation |
Plotting Point Positions
Description
Calculates plotting point positions according to different authors
Usage
ppPositions(
n,
method = c("Gringorton", "Cunane", "Filliben", "Blom", "Weibull", "ppoints")
)
Arguments
n |
numeric, the sample size |
method |
a character string naming a valid method (see Details) |
Details
The following methods can by selected:
"Gringorton"
the plotting point positions are
calculated as
m_i = \left(i - 0.44\right) / \left(n + 0.12\right)
"Cunane"
the plotting point positions are
calculated as
m_i = \left(i - 0.4\right) / \left(n + 0.2\right)
"Blom"
the plotting point positions are
calculated as
m_i = \left(i - 0.3175\right) / \left(n + 0.25\right)
"Filliben"
the order statistic medians are calculated as:
m_i = \left\{
\begin{array}{l l}
1 - 0.5^{1/n} & i = 1 \\
\left(i - 0.3175\right)/\left(n + 0.365\right) & i = 2,\ldots, n - 1 \\
0.5^{1/n} & i = n \\
\end{array}\right.
"ppoints"
R core's default plotting point positions
are calculated (see ppoints
).
Value
a vector of class numeric that contains the plotting positions