normTail {openintro} | R Documentation |
Normal distribution tails
Description
Produce a normal (or t) distribution and shaded tail.
Usage
normTail(
m = 0,
s = 1,
L = NULL,
U = NULL,
M = NULL,
df = 1000,
curveColor = 1,
border = 1,
col = "#CCCCCC",
xlim = NULL,
ylim = NULL,
xlab = "",
ylab = "",
digits = 2,
axes = 1,
detail = 999,
xLab = c("number", "symbol"),
cex.axis = 1,
xAxisIncr = 1,
add = FALSE,
...
)
Arguments
m |
Numerical value for the distribution mean. |
s |
Numerical value for the distribution standard deviation. |
L |
Numerical value representing the cutoff for a shaded lower tail. |
U |
Numerical value representing the cutoff for a shaded upper tail. |
M |
Numerical value representing the cutoff for a shaded central region. |
df |
Numerical value describing the degrees of freedom. Default is
|
curveColor |
The color for the distribution curve. |
border |
The color for the border of the shaded area. |
col |
The color for filling the shaded area. |
xlim |
Limits for the x axis. |
ylim |
Limits for the y axis. |
xlab |
A title for the x axis. |
ylab |
A title for the y axis. |
digits |
The maximum number of digits past the decimal to use in axes values. |
axes |
A numeric value denoting whether to draw both axes ( |
detail |
A number describing the number of points to use in drawing the normal curve. Smaller values correspond to a less smooth curve but reduced memory usage in the final file. |
xLab |
If |
cex.axis |
Numerical value controlling the size of the axis labels. |
xAxisIncr |
A number describing how often axis labels are placed,
scaled by standard deviations. This argument is ignored if |
add |
Boolean indicating whether to add this normal curve to the existing plot. |
... |
Additional arguments to |
Author(s)
David Diez
See Also
Examples
normTail(3, 2, 5)
normTail(3, 2, 1, xLab = "symbol")
normTail(3, 2, M = 1:2, xLab = "symbol", cex.axis = 0.8)
normTail(3, 2, U = 5, axes = FALSE)
normTail(L = -1, U = 2, M = c(0, 1), axes = 3, xAxisIncr = 2)
normTail(
L = -1, U = 2, M = c(0, 1),
xLab = "symbol", cex.axis = 0.8, xAxisIncr = 2
)