{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE)  # Introduction Welcome! I would like to get to you a bit. But first * Download/Install [R](https://www.r-project.org/) * Download/Install [R studio](https://rstudio.com/) * Download/Install [R markdown](https://rmarkdown.rstudio.com/) * Install [R bookdown](https://bookdown.org/yihui/bookdown/get-started.html) * Install [Tinytex](https://yihui.org/tinytex/) Not only can you type run R code, you can produce html and pdf files with math and R code together! Roughly speaking R studio is an easy way to use R, and R markdown is a language easily generates html files with R code and math symbols, allowing the use of basic [Latex](https://en.wikibooks.org/wiki/LaTeX/Mathematics) code; it is how I generates many of the html pages for our module. # Getting to know you Please send me an *html* file generated using R markdown with the following information. It might be helpful to use this R markdown file as a template (see below). * Name * What programme/course are you in? BSc/Msc? * What year are you in? * Your favourite math/stats equation, say for example:$\sum_{i=1}^n i = \frac{n(n+1)}{2}\$ or $$\mathbb{E} g(X) = \int_{-\infty} ^{\infty} g(x) f_X(x) dx$$ or $$\frac{d}{dx} \int_0 ^x f(u)du = f(x)$$ * Why are you taking this module * What skills do you hope to obtain after taking the module? * Have you taken Stat 0007 at UCL? * Have you taken a module elsewhere that dealt with Markov chains? * Have you used R before? * Are you in London? What time zone are you in? * Do you have a reliable internet connection * Have you used the UCL VPN? * What is your favourite show/movie? For example: [Condor Heroes](https://www.youtube.com/watch?v=jC1rTOLNGBY) * What is your favourite song? For example: [Delicate](https://www.youtube.com/watch?v=tCXGJQYZ9JA) * Do you have any other concerns?
# Version: r format(Sys.time(), '%d %B %Y') [R Markdown source](https://tsoo-math.github.io/ucl2/hello-R-2001.Rmd)