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#' Function to plot the smooths included in the model specifications.
#'
#' @param x Fitted model object.
#' @param ... Other graphical arguments.
#'
#' @return Plots the smooths.
#'
#' @export plot.fmsm
#' @export
#'
plot.fmsm = function(x, ...){
# sub.edf <- function(lab, edf) {
# pos <- regexpr(":", lab)[1]
# if (pos < 0) {
# pos <- nchar(lab) - 1
# lab <- paste(substr(lab, start = 1, stop = pos),
# ",", round(edf, digits = 2), ")", sep = "")
# }
# else {
# lab1 <- substr(lab, start = 1, stop = pos - 2)
# lab2 <- substr(lab, start = pos - 1, stop = nchar(lab))
# lab <- paste(lab1, ",", round(edf, digits = 2),
# lab2, sep = "")
# }
# lab
# }
if(is.na(match('rug', names(match.call())))) rug = TRUE
suStf = x$suStf
idx.lab = which(t(suStf$whereQ) !=0, arr.ind = T)
for(ii in 1:length(x$msm.post.object$msm.post.object)){
for(jj in 1:length(x$msm.post.object$msm.post.object[[ii]]$smooth)){
mgcv::plot.gam(x$msm.post.object$msm.post.object[[ii]],
select = jj, rug = FALSE,
...)
if(rug & length(x$msm.post.object$msm.post.object[[ii]]$smooth[[jj]]$term) == 1){ # i.e. rugplots only for 1d smooths
pair.states = suStf$data[-nrow(suStf$data), '(state)'] == idx.lab[ii, 2] & suStf$data[-1, '(state)'] == idx.lab[ii, 1]
same.person = suStf$data[-nrow(suStf$data), '(id)'] == suStf$data[-1, '(id)']
act.cov = suStf$data[-1, x$msm.post.object$msm.post.object[[ii]]$smooth[[jj]]$term][pair.states & same.person]
rug(act.cov)
}
}
}
}
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