visualizer is a webpage (a tool) that takes data as input and display them according to a customizable layout (a view, or vista in spanish).
visualizer needs two files, a data.json file that contains the data or result to be displayed in json format and a view.file that contains the description of how to display the data.
Both those files can be produced by an R script and pushed to the webpage. This is what
First install the latest release of using devtools.
check your install
You can check that installation has been successful by loading demo files.
In this case, no computation is performed, but R will push two files test.data.json and test.view.json that are available with the package. In case of success, you should see this:
Beware that it may take some while to load the first time. Be patient!
Hovering over the data points in the plot will display information about them. This is a first example of interactive display.
how does it works?
as a simple example we can display a sine and a cosine function. With the result we create a data.frame structure that contains the following elements: x, y, _highlight and info. It is important to respect these names, since they will be used to create JSON object that will be read and interpreted by the vista (view.json).
Each data.frame will be added to a list structure. This list is later converted into a single JSON object that contains all the variables needed for display. Each variable will be converted into an object in the JSON file (data.json).
The above command will add the data.frames “chart” to the list with name “multiChart”. The
type = "multiChart" ensures that the information in the data.frame is converted into a chart object to be interpreted by the module “spectra displayer” of the visualizer package.
Once the results are all stored into the list structure, a visualization object is created as described below:
The first line create the object, while the second and third lines defines names for the files to be served. The file “test.data.json” will be created with the
push(v, 'data', d) command. The
[email protected] allows to tell what vista to use. This file must exist.
The last line
visualize(v) will start a webserver (based on servr package) and point your default browser to the correct URL.
print(v) allows to print that URL for later use, to avoid having to recompute the analysis.
A closer look to this URL shows it is composed of three parts:
The first part
http://127.0.0.1:5474/ must point to the visualizer root directory. This folder visu is placed inside the package system folder that can be found using the command
path.package("hastaLaVista"). The webserver will use this folder rootDirectory/visu/ to serve information, which means that all the files that are placed in there could be served.
The second part
?viewURL=http://127.0.0.1:5474/view/test.view.json is a parameter passed to the visualizer and it tells where to find the vista. In this case the file is to be found in rootDirectory/visu/view/
The third part
dataURL=http://127.0.0.1:5474/data/test.data.json tells where to find the data. In this case in rootDirectory/visu/data/