seglines | R Documentation |
Plots the piecewise segmented curve made up of Wald statistics versus estimates, using a colour code for the HDE severity.
seglines(x, y, dy, ddy, lwd = 2, cex = 2, plot.it = TRUE,
add.legend = TRUE, cex.legend = 1,
position.legend = "topleft", eta0 = NA, COPS0 = NA,
lty.table = c("solid", "dashed", "solid", "dashed",
"solid", "dashed", "solid"),
col.table = rainbow.sky[-5], pch.table = 7:1,
severity.table = c("None", "Faint", "Weak", "Moderate",
"Strong", "Extreme", "Undetermined"), FYI = FALSE, ...)
x , y , dy , ddy |
Same as |
lwd , cex |
Graphical parameters: line width, and character expansion. |
plot.it |
Logical, plot it? If |
add.legend , position.legend |
Logical and character; add a legend?
The other argument is fed
into |
cex.legend |
Self-explanatory. |
severity.table , eta0 , COPS0 |
Same as |
lty.table , col.table , pch.table |
Graphical parameters for the 7 different types of segments.
Usually users should not assign anything to these arguments.
Setting |
FYI , ... |
Should be ignored. |
This function was written to
complement hdeffsev
and is rough-and-ready.
It plots the signed Wald statistics as a function of
the estimates, and uses a colour-code to indicate
the severity of the
Hauck-Donner effect (HDE).
This can be obtained from its first two derivatives.
This function returns the severity of the HDE, possibly invisibly.
This function is likely to change in the short future because it is experimental and far from complete.
Thomas W. Yee.
hdeff
,
hdeffsev
.
deg <- 4 # myfun is a function that approximates the HDE
myfun <- function(x, deriv = 0) switch(as.character(deriv),
'0' = x^deg * exp(-x),
'1' = (deg * x^(deg-1) - x^deg) * exp(-x),
'2' = (deg * (deg-1) * x^(deg-2) - 2*deg * x^(deg-1) +
x^deg) * exp(-x))
## Not run:
curve(myfun, 0, 10, col = "white")
xgrid <- seq(0, 10, length = 101)
seglines(xgrid, myfun(xgrid), myfun(xgrid, deriv = 1),
COPS0 = 2,
myfun(xgrid, deriv = 2), pch.table = NULL,
position = "bottom")
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.