--- title: "Simulation of outbreak data" author: "Xavier Didelot" date: '`r Sys.Date()`' output: html_vignette vignette: > %\VignetteEngine{knitr::rmarkdown} %\VignetteIndexEntry{Simulation of outbreak data} %\usepackage[utf8]{inputenc} --- ```{r echo=F} knitr::opts_chunk$set(fig.width=6, fig.height=4) ``` If you want to reproduce exactly the same results as the ones shown in this tutorial, you need to set the seed of your random number generator to zero: ```{r} library(TransPhylo) set.seed(0) ``` A pathogen has an effective within-host population size of $N_e=100$ and a generation time $g=1$ day, so that $N_e g=100/365$ year. The offspring distribution is negative binomial with mean equal to the basic reproduction number $R=5$. Both the generation time and the sampling time are Gamma distributed with parameters (10,0.1) which has a mean of 1 year. The density of sampling is $\pi=0.25$. The following commands specify these parameters: ```{r} neg=100/365 off.r=5 w.shape=10 w.scale=0.1 pi=0.25 ``` We simulate an outbreak that starts in 2005 and which and is observed up to 2008: ```{r} simu <- simulateOutbreak(neg=neg,pi=pi,off.r=off.r,w.shape=w.shape, w.scale=w.scale,dateStartOutbreak=2005,dateT=2008) ``` This simulation contains both the transmission tree between infected hosts and the within-host phylogenetic tree of each host. This can be visualised as a colored phlogenetic tree, where each host is represented by a unique color: ```{r} plot(simu) ``` The transmission tree can be extracted and plotted separately from the phylogeny: ```{r} ttree<-extractTTree(simu) plot(ttree) ``` A more detailed plot can be displayed as follows: ```{r} plot(ttree,type='detailed',w.shape,w.scale) ``` The phylogenetic tree can be extracted and plotted separately from the transmission tree: ```{r} ptree<-extractPTree(simu) plot(ptree) ``` The extracted phylogenetic tree can also be converted into a phylo object from the ape package: ```{r} library(ape) p<-phyloFromPTree(ptree) plot(p) axisPhylo(backward = F) ``` You can save this tree into a Newick file for further analysis. This is the tree that is used as the starting poit of the tutorial on inference of a transmission tree from a dated phylogeny. ```{r eval=F} write.tree(p,'tree.nwk') ``` The content of this Newick file is: ```{r} write.tree(p,'') ``` This phylogeny is scaled in years, but time is measured only relatively to the date of the last sample which is at 0 on the x-axis of the figure above. To use this tree again we also need to know exactly when was the last sample taken: ```{r} dateLastSample(simu) ```