resultsUI.Rd
Shiny application to generate, customize, and report diagnostic plots and tables from NLME or NONMEM output files. Create an Rmarkdown file of tagged model diagnostics and render into submission ready report.
resultsUI(model, xpdb = NULL, tagged = NULL, settings = NULL, ...)
A single object, vector, or list of objects of class NlmePmlModel
.
A single object or list of objects of class xpose_data
.
List of tagged objects returned from previous tagged <- resultsUI()
session.
List of settings (e.g., settings.Rds) returned from previous Shiny session.
Additional arguments for Pirana integration.
if (FALSE) {
# RsNLME
library(Certara.RsNLME)
library(Certara.ModelResults)
model1 <- pkmodel(numCompartments = 1,
data = pkData,
ID = "Subject",
Time = "Act_Time",
A1 = "Amount",
CObs = "Conc",
modelName = "OneCpt_IVBolus_FOCE-ELS")
baseFitJob1 <- fitmodel(model1)
model2 <- pkmodel(numCompartments = 2,
data = pkData,
ID = "Subject",
Time = "Act_Time",
A1 = "Amount",
CObs = "Conc",
modelName = "TwCpt_IVBolus_FOCE-ELS")
baseFitJob2 <- fitmodel(model2)
# Run Model Results
resultsUI(model = c(model1, model2))
# NONMEM via xpose
library(Certara.ModelResults)
library(xpose)
xpdb <- xpose_data(runno = "1", prefix = "run", ext = ".lst", dir = "~/Documents/Pirana_Testing/NONMEM/Hands_onB/")
results(xpdb = xpdb)
# Multiple models
xpdb_multiple <- list(run1 = xpose_data(runno = "1", prefix = "run", ext = ".lst", dir ="~/Documents/Pirana_Testing/NONMEM/Hands_onB/"),
run2 = xpose_data(runno = "2", prefix = "run", ext = ".lst", dir ="~/Documents/Pirana_Testing/NONMEM/Hands_onB/"),
run3 = xpose_data(runno = "3", prefix = "run", ext = ".lst", dir ="~/Documents/Pirana_Testing/NONMEM/Hands_onB/"),
run5 = xpose_data(runno = "5", prefix = "run", ext = ".lst", dir ="~/Documents/Pirana_Testing/NONMEM/Hands_onB/"))
}