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preface.qmd
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preface.qmd
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# Preface {#preface .unnumbered}
Why write this book
- an introduction to modern statistical methods through the lens of visualisation
- focus on data analysis and computing over mathematics
- intuit high dimensional data through dynamic graphics
- use R + graphics as tool for augmenting understanding of data, models and inferences(?)
## Audience {.unnumbered}
- researchers/students who need to analyse multivariate data
- data scientists looking to expand their approaches and not just run to a model straight away
## How to use the book? {.unnumbered}
- How does the material fit together - some diagrams
### What do we assume about you? {.unnumbered}
- already knows a bit of R and a bit of stats already (?)
- expect you to have work through the code examples
- be actively involved with the text through excercies and examples
## Setting up your workflow {.unnumbered}
- Setting up R and Rstudio
- What packages to install
- tidyverse style?
```{r eval=FALSE}
install.packages("mulgar")
# or the development version
# devtools::install_github("dicook/mulgar")
```
```{r include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
.packages(), 'bookdown', 'knitr', 'rmarkdown'
), 'packages.bib')
```