There are many types of data, that can be processed with Resonance, some of them sutaible for input and output data streams, other - for internal processing, but there is no limitation of what streams you use for input and output, only limitations of pipes.
Current version of Resonance contatins following stream types: - channels - window - event
Each data block of 'channels' type contains recording of one or more channels of data, collected isochroniously with fixed sampling rate.
Attributes of such type are
- channels
- amount of channels in every block
- samplingRate
- sampling rate of stream
channels
size
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
setion 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)
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