| my.plotrisk {spgam} | R Documentation |
~~ A concise (1-5 lines) description of what the function does. ~~
my.plotrisk(risk, tp = "range", zlim, clevels = default, tolvals = c(0.025, 0.975), toptitle = NA, pval = F, legend = FALSE)
risk |
~~Describe risk here~~ |
tp |
~~Describe tp here~~ |
zlim |
~~Describe zlim here~~ |
clevels |
~~Describe clevels here~~ |
tolvals |
~~Describe tolvals here~~ |
toptitle |
~~Describe toptitle here~~ |
pval |
~~Describe pval here~~ |
legend |
~~Describe legend here~~ |
~~ If necessary, more details than the description above ~~
~Describe the value returned If it is a LIST, use
comp1 |
Description of 'comp1' |
comp2 |
Description of 'comp2' |
...
....
~~further notes~~
~Make other sections like Warning with section{Warning }{....} ~
~~who you are~~
~put references to the literature/web site here ~
~~objects to See Also as help, ~~~
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function(risk, tp = "range", zlim, clevels = default, tolvals = c(0.025,0.975), toptitle = NA, pval = F,legend=FALSE)
{
#********************************
# inputs:
# risk is a list of (x, y, z, est, poly) where x,y are the spatial
# locations (probably in a regular grid). z is the matrix of the
# proportion of simulated data sets below the observed g(x). est
# is the x,y,z values of the observed rel risk surface from the
# function relrisk.
#
# The whole thing can be the output from the significance or
# tolerance function.
#
# contours of risk$z are plotted on the map of risk$est
#********************************
default <- c(-20, -15, -10, -8, -6, -5, -4, seq(-3, 3, 0.5), 4, 5,
6, 8, 10, 15, 20)
if(missing(zlim)) {
if(tp == "quantile") {
zl <- quantile(as.vector(risk$est$z), c(0.25, 0.75),
na.rm = T)
zlim <- c(2 * zl[1], 10 * zl[2])
}
else if(tp == "range")
zlim <- range(as.vector(risk$est$z), na.rm = T)
}
risk$est$z[(risk$est$z) > (zlim[2])] <- zlim[2]
risk$est$z[(risk$est$z) < (zlim[1])] <- zlim[1]
# print(range(risk$est$z[risk$est$z != "NA"]))
par(pty = "s", font = 3)
my.polymap(risk$poly, add.poly=F, cex = 0.8)
image(risk$est, add = T, zlim = zlim)
if(legend==TRUE) {
aux=locator(2)
image.legend(x.leg=aux$x,y.leg=aux$y, values = zlim)
}
my.polymap(risk$poly, add = T,add.poly=T)
contour(risk$est, lwd = 0.7, cex = 0.5, levels =
clevels, add = T, lty = 2)
if((tolvals[1] == 0.025) & (tolvals[2] ==
0.975)) {
contour(risk, levels = 0.975, cex = 0.001, lwd =
3, add = T, lty = 1)
contour(risk, levels = 0.025, cex = 0.001, lwd
= 3, add = T, lty = 3)
}
else {
contour(risk, levels = tolvals, cex = 0.7,
lwd = 3, add = T, lty = 3)
}
if(is.na(toptitle)) {
toptitle <- " "
}
if(pval) {
toptitle <- paste(toptitle, " (p =", as.character(round(risk$
pval, digits = 3)), ")")
}
title(toptitle, cex = 0.8)
}