library(CausalImpact) #library(livingwage) #data(bls) #example data set.seed(1) x1 <- 100 + arima.sim(model = list(ar = 0.999), n = 100) x2 <- 100 + arima.sim(model = list(ar = 0.999), n = 100) y <- 1.2 * x1 + rnorm(100) y[71:100] <- y[71:100] + 10 dat <- cbind(y, x1) #pre and post periods pre_period <- c(1, 70) post_period <- c(71, 100) #analysis #here x1 is the comparison and y is the time series that would have changed impact <- CausalImpact(dat, pre_period, post_period) plot(impact)
Vignettes are long form documentation commonly included in packages. Because they are part of the distribution of the package, they need to be as compact as possible. The html_vignette
output type provides a custom style sheet (and tweaks some options) to ensure that the resulting html is as small as possible. The html_vignette
format:
Note the various macros within the vignette
section of the metadata block above. These are required in order to instruct R how to build the vignette. Note that you should change the title
field and the \VignetteIndexEntry
to match the title of your vignette.
The html_vignette
template includes a basic CSS theme. To override this theme you can specify your own CSS in the document metadata as follows:
output: rmarkdown::html_vignette: css: mystyles.css
The figure sizes have been customised so that you can easily put two images side-by-side.
plot(1:10) plot(10:1)
You can enable figure captions by fig_caption: yes
in YAML:
output: rmarkdown::html_vignette: fig_caption: yes
Then you can use the chunk option fig.cap = "Your figure caption."
in knitr.
You can write math expressions, e.g. $Y = X\beta + \epsilon$, footnotes^[A footnote here.], and tables, e.g. using knitr::kable()
.
knitr::kable(head(mtcars, 10))
Also a quote using >
:
"He who gives up [code] safety for [code] speed deserves neither." (via)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.