r Heading
# Name of subfolder: pktableindiv if(FromCalcPKRatios){ MyFiles <- str_split_1(unique(MyPKResults[[i]]$File), " / ") } else { MyFiles <- unique(MyPKResults[[i]]$File) } if("logical" %in% class(existing_exp_details)){ # This is when existing_exp_details is NA. Deets <- data.frame(Inhibitor1 = "UNKNOWN INHIBITOR", File = MyFiles) } else { Deets <- existing_exp_details$MainDetails %>% filter(File %in% MyFiles) } MyPerpetrator <- determine_myperpetrator(Deets = Deets, prettify_compound_names = prettify_compound_names) DosesIncluded <- c("Dose1" = any(str_detect(PKparameters[[i]]$PKparameter, "_dose1")), "Last" = any(str_detect(PKparameters[[i]]$PKparameter, "_last")), "User" = any(complete.cases(PKparameters[[i]]$Sheet))) DosesIncluded <- str_c(names(DosesIncluded)[DosesIncluded], collapse = " ") if(FromCalcPKRatios){ IndivAnnotations <- list("table_heading" = paste0( "***Table XXX.*** *Simulated ", MeanType, " mean ", unique(MyPKResults[[i]]$Tissue), " PK parameters for the file pair ", str_comma(MyFiles), "*"), "table_caption" = paste0("*Simulated values listed are the ", MeanType, " means. CV: coefficient of variation; CI: confidence interval. Source simulated data: ", str_comma(MyFiles), "*")) } else { IndivAnnotations <- make_table_annotations( MyPKResults = MyPKResults[[i]] %>% purrr::discard(~all(is.na(.))), MyFile = unique(MyPKResults[[i]]$File), MyCompoundID = unique(MyPKResults[[i]]$CompoundID), prettify_compound_names = prettify_compound_names, existing_exp_details = existing_exp_details, mean_type = mean_type, DosesIncluded = case_match(DosesIncluded, "Dose1 User" ~ "Dose1 Last", "Last User" ~ "Last", .default = DosesIncluded), tissue = unique(MyPKResults[[i]]$Tissue), name_clinical_study = name_clinical_study) IndivAnnotations[["table_heading"]] <- paste0("***Table XXX.*** *", IndivAnnotations[["table_heading"]], "*") IndivAnnotations[["table_caption"]] <- paste0("*", IndivAnnotations[["table_caption"]], "*") }
r IndivAnnotations[["table_heading"]]
# Adding a warning if there was a mismatch between the last dosing interval and # the AUC interval if any of the PK included last dose. if(str_detect(DosesIncluded, "Last") & any(CheckDoseInt_list[[i]]$IntervalRemaining != CheckDoseInt_list[[i]]$DoseInt_X)){ Problems <- CheckDoseInt_list[[i]] %>% filter(DoseInt_X != IntervalRemaining) DoseIntWarning_last <- list( "***WARNING: The time used for integrating the AUC for the last dose was not the same as the dosing interval.***", paste0("**Dosing interval: ", unique(Problems$DoseInt_X), " h**"), paste0("**Last dose start time: ", unique(Problems$LastDoseTime), " h**"), paste0("**Simulation end time: ", unique(Problems$SimDuration), " h**"), paste0("**Time used for integrating the last-dose AUC: ", unique(Problems$IntervalRemaining), " h**"), "***Please check these results carefully.***") rm(Problems) } else { DoseIntWarning_last <- list(c(), c(), c(), c(), c(), c()) } if(str_detect(DosesIncluded, "User") & any(CheckDoseInt_list[[i]]$UserIntervalRemaining != CheckDoseInt_list[[i]]$DoseInt_X, na.rm = T)){ Problems <- CheckDoseInt_list[[i]] %>% filter(DoseInt_X != UserIntervalRemaining) DoseIntWarning_user <- list( "***WARNING: The time used for integrating the AUC for the user-defined interval was not the same as the dosing interval.***", paste0("**Dosing interval: ", unique(Problems$DoseInt_X), " h**"), paste0("**User-defined interval start time: ", unique(Problems$UserIntervalStart), " h**"), paste0("**User-defined interval end time: ", unique(Problems$UserIntervalEnd), " h**"), paste0("**Time used for integrating the user-defined AUC: ", unique(Problems$UserIntervalRemaining), " h**"), "***Please check these results carefully.***") rm(Problems) } else { DoseIntWarning_user <- list(c(), c(), c(), c(), c(), c()) }
r DoseIntWarning_last[[1]]
r DoseIntWarning_last[[2]]
r DoseIntWarning_last[[3]]
r DoseIntWarning_last[[4]]
r DoseIntWarning_last[[5]]
r DoseIntWarning_last[[6]]
r DoseIntWarning_user[[1]]
r DoseIntWarning_user[[2]]
r DoseIntWarning_user[[3]]
r DoseIntWarning_user[[4]]
r DoseIntWarning_user[[5]]
r DoseIntWarning_user[[6]]
if(is.na(include_dose_num_orig)){ include_dose_num <- check_include_dose_num(MyPKResults[[i]], include_dose_num) } if(include_dose_num == FALSE){ names(MyPKResults[[i]]) <- sub("Dose 1 |Last dose |_dose1|_last", "", names(MyPKResults[[i]])) } TempTable <- MyPKResults[[i]] %>% ungroup() %>% purrr::discard(~all(is.na(.))) %>% select(-any_of(c("CompoundID", "Tissue", "File", "Compound"))) names(TempTable) <- sub("perpetrator", MyPerpetrator, names(TempTable)) if(as_label(shading_column) == "<empty>"){ formatTable_Simcyp(TempTable, merge_shaded_cells = TRUE, perpetrator_name = MyPerpetrator, fontsize = fontsize, prettify_columns = prettify_columns, add_header_for_DDI = add_header_for_DDI, highlight_so_cutoffs = highlight_so_cutoffs, highlight_so_colors = highlight_so_colors, highlight_gmr_colors = highlight_gmr_colors) } else { formatTable_Simcyp(TempTable, shading_column = !!shading_column, merge_shaded_cells = TRUE, perpetrator_name = MyPerpetrator, fontsize = fontsize, prettify_columns = prettify_columns, add_header_for_DDI = add_header_for_DDI, highlight_so_cutoffs = highlight_so_cutoffs, highlight_so_colors = highlight_so_colors, highlight_gmr_colors = highlight_gmr_colors) }
r IndivAnnotations[["table_caption"]]
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