Nothing
foreNCA = function(NCAres="", PPTESTCD="", PCTESTCD="", title="", ...)
{
cPara = PPTESTCD
MOLEs = sort(as.character(unique(NCAres[,"PCTESTCD"]))) ; nMOLE = length(MOLEs)
STUDYs = sort(as.character(unique(NCAres[,"STUDYID"]))) ; nSTUDY = length(STUDYs)
DOSEs = sort(unique(NCAres[,"Dose"])) ; nDOSE = length(DOSEs)
ForRes = c("Molecule", "Study", "Dose", "Mean", "SD")
for (i in 1:nMOLE) {
cMOLE = MOLEs[i]
for (j in 1:nSTUDY) {
cSTUDY = STUDYs[j]
for (k in 1:nDOSE) {
cDOSE = DOSEs[k]
cData = NCAres[NCAres[,"PCTESTCD"]==cMOLE & NCAres[,"STUDYID"]==cSTUDY & NCAres[,"Dose"] == cDOSE, cPara]
if (length(cData) > 0) {
cMean = mean(cData, na.rm=TRUE)
cSD = sd(cData, na.rm=TRUE)
ForRes = rbind(ForRes, c(cMOLE, cSTUDY, cDOSE, cMean, cSD))
}
}
}
}
unitDose = unique(as.character(NCAres[,"UnitDose"]))
unitConc = unique(as.character(NCAres[,"UnitConc"]))
unitPara = as.character(Unit(code=PPTESTCD, timeUnit="h", concUnit=unitConc, doseUnit=unitDose)[1])
For1 = ForRes[ForRes[,1] == PCTESTCD,]
cMean = c(NA, NA, as.numeric(For1[,4]))
cLL = c(NA, NA, as.numeric(For1[,4]) - 2*as.numeric(For1[,5]))
cUL = c(NA, NA, as.numeric(For1[,4]) + 2*as.numeric(For1[,5]))
For1[,4] = Round(as.numeric(For1[,4]),2)
For1[,5] = Round(as.numeric(For1[,5]),2)
For1 = rbind(ForRes[1,], c("", "", unitDose, unitPara, ""), For1)
if (title == "") {
Synonym = RptCfg[RptCfg[,"PPTESTCD"]==toupper(Trim(PPTESTCD)), "NCI"]
} else {
Synonym = title
}
xlbl = paste0(Synonym, " (", unitPara,")")
# require(forestplot)
forestplot::forestplot(For1[,2:5], cMean, cLL, cUL, txt_gp=forestplot::fpTxtGp(ticks=grid::gpar(cex=1), xlab=grid::gpar(cex=1), title=grid::gpar(cex=2)), title=Synonym, xlab=xlbl, ...)
}
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