knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE, dpi = 600, fig.width = 6, fig.height = 5)
# Name of subfolder: pktable Observedincluded <- any(str_detect(MyPKResults$Statistic, "S/O"))
if(FromCalcPKRatios){ highlight_so_cutoffs = NA highlight_so_colors = "yellow to red" if(paired){ OptionalSection <- knitr::knit_child( system.file("rmarkdown/templates/pairedci/skeleton/skeleton.Rmd", package="SimcypConsultancy"), envir = environment(), quiet = TRUE) cat(OptionalSection, sep = "\n") } else { OptionalSection <- knitr::knit_child( system.file("rmarkdown/templates/unpairedci/skeleton/skeleton.Rmd", package="SimcypConsultancy"), envir = environment(), quiet = TRUE) cat(OptionalSection, sep = "\n") } tissues <- str_comma(unique(PKparameters$Tissue)) compoundsToExtract <- str_comma(unique(PKparameters$CompoundID)) }
r Annotations[["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(any(str_detect(CheckDoseInt$message, "mismatch")) & single_table){ DoseIntWarning <- list( "***WARNING: There was a mismatch between the dosing interval and the AUC interval for the following files and compounds:***\n", CheckDoseInt$interval[which(str_detect(CheckDoseInt$message, "mismatch")), ] %>% mutate(TimeLastInterval = ifelse(OneDoseIntRemaining == TRUE, 0, SimDuration - LastDoseTime)) %>% select(File, Sheet, CompoundID, DoseInt_X, UserIntervalRemaining, TimeLastInterval) %>% rename("Dosing interval" = DoseInt_X, "Last-dose interval (h)" = TimeLastInterval, "User-defined interval (h)" = UserIntervalRemaining) %>% flextable::flextable() %>% flextable::width(j = 1:2, width = 1.5) %>% flextable::width(j = 3, width = 1), "***Please check these results carefully.***") } else { DoseIntWarning <- list( c(), c(), c() ) }
r DoseIntWarning[[1]]
r DoseIntWarning[[2]]
r DoseIntWarning[[3]]
# Setting things up for nonstandard evaluation shading_column <- rlang::enquo(shading_column) if("File" %in% names(MyPKResults)){ MyPKResults <- MyPKResults %>% relocate(File, .after = last_col()) } if(single_table){ # If they only wanted 1 tissue, don't include a column for that in the table. # It'll be listed in the text and takes up room needlessly. if(length(unique(MyPKResults$Tissue)) == 1 && str_detect(unique(MyPKResults$Tissue), " / ") == FALSE){ MyPKResults <- MyPKResults %>% select(-any_of("Tissue")) } # Similarly, if they only wanted 1 compoundID, don't include a column for that # in the table. if(length(unique(MyPKResults$CompoundID)) == 1 && str_detect(unique(MyPKResults$CompoundID), " / ") == FALSE){ MyPKResults <- MyPKResults %>% select(-any_of("CompoundID")) } # If the column names were prettified, then they will include the dosing # interval and there is thus no need for the "Sheet" column. Similarly, # regardless of whether they prettified the column names, if there is only # one value present for the Sheet column, remove it. if(prettify_columns | length(unique(MyPKResults$Sheet)) == 1){ MyPKResults <- MyPKResults %>% select(-any_of("Sheet")) } include_dose_num <- check_include_dose_num(MyPKResults, include_dose_num) if(include_dose_num == FALSE){ names(MyPKResults) <- sub("Dose 1 |Last dose |_dose1|_last", "", names(MyPKResults)) } if(as_label(shading_column) == "<empty>"){ formatTable_Simcyp(MyPKResults, shading_column = File, merge_shaded_cells = TRUE, fontsize = fontsize, prettify_columns = prettify_columns, add_header_for_DDI = add_header_for_DDI, highlight_gmr_colors = highlight_gmr_colors, highlight_so_cutoffs = highlight_so_cutoffs, highlight_so_colors = highlight_so_colors) } else { formatTable_Simcyp(MyPKResults, shading_column = !!shading_column, merge_shaded_cells = TRUE, fontsize = fontsize, prettify_columns = prettify_columns, add_header_for_DDI = add_header_for_DDI, highlight_gmr_colors = highlight_gmr_colors, highlight_so_cutoffs = highlight_so_cutoffs, highlight_so_colors = highlight_so_colors) } }
if(single_table == FALSE){ MyPKResults <- split(MyPKResults, f = list(MyPKResults$File, MyPKResults$CompoundID, MyPKResults$Tissue)) PKparameters <- split(PKparameters, f = list(PKparameters$File, PKparameters$CompoundID, PKparameters$Tissue)) CheckDoseInt_list <- split(CheckDoseInt$interval, f = list(CheckDoseInt$interval$File, CheckDoseInt$interval$CompoundID, CheckDoseInt$interval$Tissue)) MyPKResults <- MyPKResults[which(lapply(MyPKResults, nrow) > 0)] for(i in names(MyPKResults)){ # assign("ITERATION_STEP", value = i, envir = global_env()) Heading <- paste0( str_to_title(unique(MyPKResults[[i]]$Tissue)), " PK for the ", unique(MyPKResults[[i]]$CompoundID), " for the file '", unique(MyPKResults[[i]]$File), "'") Heading <- ifelse(FromCalcPKRatios, sub("for the file", "for the file pair", Heading), Heading) TableSection <- knitr::knit_child( system.file("rmarkdown/templates/pktableindiv/skeleton/skeleton.Rmd", package="SimcypConsultancy"), envir = environment(), quiet = TRUE) cat(TableSection, sep = "\n") rm(Heading, Deets, MyPerpetrator, MyFiles, MyAnnotations) } MyPKResults <- bind_rows(MyPKResults) }
r Annotations[["table_caption"]]
if(any(complete.cases(highlight_gmr_colors))){ TableKeyText_gmr <- "**Key for color-coded GMR values:**" } else { TableKeyText_gmr <- "" }
r TableKeyText_gmr
if(any(complete.cases(highlight_gmr_colors))){ make_gmr_highlight_key(highlight_gmr_colors = highlight_gmr_colors) }
if(any(complete.cases(highlight_so_cutoffs))){ TableKeyText_so <- "**Key for color-coded S/O values:**" } else { TableKeyText_so <- "" }
r TableKeyText_so
if(any(complete.cases(highlight_so_cutoffs))){ make_so_highlight_key(highlight_so_cutoffs = highlight_so_cutoffs, highlight_so_colors = highlight_so_colors) }
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