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#-------------------------------------------------------------------------------
# tcplMultiplot: Plot fits based on mc4/5 and mc4_agg
#-------------------------------------------------------------------------------
#' @title Plot summary fits based on fit and dose-response data
#'
#' @description
#' \code{tcplMultiplot} takes the dose-response and fit data and produces
#' summary plot figures.
#'
#' @param dat data.table, level 4 or level 5 data, see details.
#' @param agg data.table, concentration-response aggregate data, see details.
#' @param flg data.table, level 6 data, see details.
#' @param hitc.all Logical, if FALSE, only plots with hitc==1 will be displayed
#' @param browse Logical, should \code{browser()} be called after every plot?
#' @param boot data.table, level 7 data, see details.
#'
#' @details
#' The data for 'dat', 'agg', and 'flg' should be loaded using the
#' \code{\link{tcplLoadData}} function with the appropriate 'lvl' parameter.
#' See help page for \code{tcplLoadData} for more information.
#'
#' If dat contains only one aeid, plots will be ordered by chemical name (chnm).
#' Otherwise, plots are ordered by assay endpoint name (aenm).
#' ## While it is most likely the user will want to just save all of the plots
#' ## to view in a PDF, the 'browse' parameter can be used to quickly view
#' ## some plots.
#' @import data.table
#' @export
tcplMultiplot <- function (dat, agg, flg = NULL, boot = NULL, browse = FALSE, hitc.all) {
chid <- chnm <- spid <- aenm <- aeid <- m4id <- fitc <- fval <- modl <- hitc <- NULL
flgo <- mc6_mthd_id <- J <- NULL
if (!is.null(flg) & !"m5id" %in% names(dat)) {
stop("Must supply level 5 data with a non-null 'flg' input.")
}
dat <- tcplPrepOtpt(dat)
#the following line only works if lvl is >5
#dat <- dat[!is.na(modl)]
dat[is.na(chid), `:=`(chnm, paste(spid, "(spid not in DB)"))]
dat[, `:=`(aenm, paste0(aenm, " (", "AEID:",aeid, ")"))]
setkey(dat, m4id)
setkey(agg, m4id)
if (!hitc.all) dat <- dat[hitc==1]
#Setting plotting order
if (length(unique(dat$aenm)) == 1){
m4ids <- dat[order(chnm), unique(m4id)]
} else{
m4ids <- dat[order(aenm), unique(m4id)]
}
if (!is.null(flg)) {
if (nrow(flg) > 0) {
flg[is.na(fval), `:=`(flgo, as.character(mc6_mthd_id))]
flg[!is.na(fval), `:=`(flgo, paste0(mc6_mthd_id,
" (", signif(fval, 3), ")"))]
flg <- flg[, list(flgo = paste(unique(flgo), collapse = "; ")),
by = m4id]
setkey(flg, m4id)
dat <- flg[dat]
} else {
dat[, `:=`(flgo, NA)]
}
}
if (!is.null(boot)) {
setkey(boot, m4id)
dat <- boot[dat]
dat$toxboot <- 1
}
for (i in m4ids) {
resp <- agg[J(i), resp]
logc <- agg[J(i), logc]
pars <- as.list(dat[J(i)])
try(multiPlotfit(resp = resp, logc = logc, pars = pars))
if (browse)
browser(skipCalls = 4)
}
}
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