# devtools::install_github(repo = "MikeKSmith/rspeaksnonmem") # devtools::install_github(repo = "MangoTheCat/RNMImport") library(rspeaksnonmem) setwd(".")
file.copy(from = file.path(system.file("exdata", package = "rspeaksnonmem"), "warfarin_conc_pca.csv"), to = getwd(), overwrite = T ) file.copy(from = file.path(system.file("exdata", package = "rspeaksnonmem"), "warfarin.ctl"), to = getwd(), overwrite = T ) file.rename(from = "warfarin.ctl", "run0.ctl")
Being able to run PsN from within R means that you can easily combine execution
with the PsN output plot markdown files (.Rmd files within the PsN working
directory). Here we're going to run the PsN execute
function with the option
to create diagnostic plots rplots=1
.
We have parameterised this report by including the following parameters in the YAML header for this report:
--- title: "rspeaksnonmem with PsN rplots .Rmd files" author: "Mike K Smith" date: "03 July 2017" output: html_document params: rplots: 1 psnRunDir: "run0" ---
We can then use these parameters within the R code by referencing params$rplots or params$psnRunDir. Having these as parameters of the document means that we can re-run the document and change these parameters without having to change code within the document.
execute_PsN(installPath = "c:/strawberry/perl", version = "4.7.0", modelFile = 'run0.ctl', rplots = params$rplots, working.dir = params$psnRunDir)
We search within the working directory for the .Rmd file and include this as
a child document to this parent markdown file. rplotOutput
contains the name
of the PsN rplots
output .Rmd file. In case we change the option above, we
also create a boolean variable includeRplotOutput
.
rplotOutput <- list.files(path = params$psnRunDir, recursive = TRUE, pattern = "plots.Rmd", full.names = TRUE) includeRplotOutput <- params$rplots > 0
We use the boolean includeRplotOutput
to conditionally execute the chunk below.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.