AnalysisPageServer datasets can be embedded within other (HTML) documents.
AnalysisPageServer datasets can be embedded within knitr documents such as the one you are reading.
To do so, first call setup.APS.knitr()
to set things up.
The main purpose of this call is to include some javascript and CSS
that makes the interactivity work.
See the documentation
of that function for more details:
library(AnalysisPageServer)
setup.APS.knitr()
A few notes about setup.APS.knitr()
:
include.toc=FALSE
.include.css
argument.message=FALSE, echo=FALSE
for this setup block.Whether you use default or custom styling, after your call to setup.APS.knitr()
at the
top of your document you can proceed as you normally would. At the point you want
to insert an AnalysisPageServer dataset, make a call to embed.APS.dataset()
.
In typical usage the first argument is a code block wrapped in {
curly brackets}
that contains
your plotting code. You also have to
pass the data. This can either be the return value of the code block, or you can provide
it explicity as the second argument:
x <- seq(0, 2*pi, length = 100)
y <- sin(x) + rnorm(100)/10
col <- adjustcolor(heat.colors(100), alpha.f = 0.6)
embed.APS.dataset({
plot(x, y, col = col, pch = 19)
},
df = data.frame(x=x, y=y, X=x, Y=y),
title = "A shaky sine curve",
data.subdir = "embed-example")
You can have two datasets on the same page. In the next example we also hide the sidebar
and data table with show.sidebar = FALSE
and show.table = FALSE
, and pass in a little extra
styling to get some margins on the sides.
x <- rep(1:nrow(volcano), each = ncol(volcano))
y <- rep(1:ncol(volcano), nrow(volcano))
volcano.cells <- data.frame(x = x, y = y, Height = as.vector(t(volcano)))
embed.APS.dataset({
image(volcano, xaxt = "n", yaxt = "n", main = "Maunga Whau Volcano")
},
df = volcano.cells,
title = "", data.subdir = "embed-example",
show.table = FALSE, show.sidebar = FALSE,
show.xy = TRUE,
extra.div.attr = c(style = "width:60%; margin:0 auto"))
The <div>
element to which the extra attributes, such as styling, are applied is the outer container that holds the plot, the
sidebar, and the table. The current version does not support custom styling of the sub-elements.
Omit the first argument to just show the table:
embed.APS.dataset(df = iris,
title = "Iris data with no plot", data.subdir = "embed-example")
In order to embed an AnalysisPageServer dataset into an HTML document
you first have to copy the "front end" files, including CSS, Javascript
other resources, into the directory where your HTML document will live.
If you are going to write more than one HTML document to the same directory
then you only have to do this once. The copy.front.end()
function
does this for you. For example,
basedir <- dirname(html.file)
copy.front.end(basedir)
Next you must include header lines in your HTML file to bring in the CSS, Javascript and other resources required by the front end. These are returned by this function call:
cat(custom.html.headers())
## <meta name="viewport" content="width=device-width, initial-scale=1.0">
## <link href="css/concatenated.css" rel="stylesheet" type="text/css" />
## <link id="ep-svg-styles" href="css/svg.css" type="text/css" rel="stylesheet">
## <script id="ep-entry-script" data-main="js/requirejs-webconfig" src="js/require.js"></script>
Normally they would appear within the <head>
section of your document.
After that, use the embed.APS.dataset()
function as described above
to make plots or datasets. Be careful to include outdir = basedir
so it
knows where to write the SVG and JSON files. Otherwise they would end up in the
current directory, which might not work. Aside from writing those files, embed.APS.dataset
returns a <div>
each time you call it, and
you can then lay these elements out as you like within your HTML document.
Here is an example of what that looks like:
## <div class="ep-analysis-page-data-set container-fluid"
## data-sidebar-visible="yes"
## data-table-visible="yes"
## data-table-rows="10"
## data-svg="embed-example/dataset-7-4AlQDS.svg"
## data-set="embed-example/dataset-7-4AlQDS.json"></div>
The embed.APS.dataset()
accepts a few arguments
that allow you to control the inclusion of the table, of
the sidebar, or to add extra HTML classes or attributes to the <div>
.