#' @export
FSRSmodel.3dplot<-function(M,response="SHORTS",yr=2015){
RLibrary("ggplot2","glmmADMB","rgl")
idata<-subset(M$frame,fYEAR==yr)
if(response=="SHORTS"){
x = with(idata,seq(min(TEMP),max(TEMP),l=100))
y = with(idata,seq(min(LEGALS),max(LEGALS),1))
pdata = data.frame(fYEAR=factor(yr, levels(M$frame$fYEAR)),expand.grid(TEMP = x, LEGALS = y))
pdata$logTRAPS<-0
Pred <- predict(M, newdata = pdata, se = TRUE)
pdata$mu <- exp(Pred$fit)
pdata$ub <- exp(Pred$fit + 1.96 * Pred$se.fit)
pdata$lb <- exp(Pred$fit - 1.96 * Pred$se.fit)
mu.2d <- matrix(pdata$mu, nrow = length(x), ncol = length(y))
idata$LEGALS.jitter <- jitter(idata$LEGALS)
idata$SHORTS.jitter <- jitter(idata$SHORTS)
idata$SPT.jitter <- idata$SHORTS.jitter/exp(idata$'offset(logTRAPS)')
plot3d(x = idata$TEMP ,
y = idata$LEGALS.jitter ,
z = idata$SPT.jitter,
type = "p",
size = 3,
lit = FALSE,
xlab = "TEMP",
ylab = "LEGALS",
zlab = "SHORTS",
main = M$LFA
)
#Add the surface for the fitted values
surface3d(x, y, mu.2d,
alpha = 0.6,
front = "lines",
back = "lines",
color = "black"
)
}
if(response=="LEGALS"){
x = with(idata,seq(min(TEMP),max(TEMP),l=100))
y = with(idata,seq(min(DOS),max(DOS),1))
pdata = data.frame(fYEAR=factor(yr, levels(M$frame$fYEAR)),expand.grid(TEMP = x, DOS = y))
pdata$logTRAPS<-0
Pred <- predict(M, newdata = pdata, se = TRUE)
pdata$mu <- exp(Pred$fit)
pdata$ub <- exp(Pred$fit + 1.96 * Pred$se.fit)
pdata$lb <- exp(Pred$fit - 1.96 * Pred$se.fit)
mu.2d <- matrix(pdata$mu, nrow = length(x), ncol = length(y))
idata$LEGALS.jitter <- jitter(idata$LEGALS)
idata$LPT.jitter <- idata$LEGALS.jitter/exp(idata$'offset(logTRAPS)')
idata$DOS.jitter <- jitter(idata$DOS)
plot3d(x = idata$TEMP ,
y = idata$DOS.jitter ,
z = idata$LPT.jitter,
type = "p",
size = 3,
lit = FALSE,
xlab = "TEMP",
ylab = "DOS",
zlab = "LEGALS",
main = M$LFA
)
#Add the surface for the fitted values
surface3d(x, y, mu.2d,
alpha = 0.6,
front = "lines",
back = "lines",
color = "black"
)
}
}
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