Update docs/source/r.rst

docs/source/r.rst

@@ -13,21 +13,15 @@ QuartzMap supports creating of a number of R HTML applications:
 .. contents:: Table of Contents
 
 
-R Leaflet
+R Publishing
 ===================================
 
-To create an R Leaflet Map, click on "Add New" button.
-
-   .. image:: images/Add-Map.png
-
-
-There are three options for creating a Map.
-
+There are three options for publising your R code.
 
 Option 1: FTP.
 ------------
 
-FTP Uploads are qgis2web maps you have uploaded directly via FTP.
+FTP Uploads are R files you have uploaded directly via FTP.
 
 It can also maps you uploaded via any FTP client.
 
@@ -44,7 +38,7 @@ Archive is a zipped archive file you can upload.
 
 
 Option 3: Paste
-------------
+-----------------
 
 Paste your R Leaflet code into the code box.
 
@@ -52,18 +46,23 @@ Paste your R Leaflet code into the code box.
    .. image:: images/R-Paste.png
 
 
-Options:
 
-Name
+R Leaflet
+===================================
+
+To create an R Leaflet Map, click on "Add New" button.
+
+   .. image:: images/Add-Map.png
+
+
+FTP, Upload, or Paste your code.
+
+Give your R code a Name and Description.
+
+
+Example
 --------------
 
-Give your map a name.  The name will appear as the map title on the dashboard.
-
-.. image:: images/Name-Desc.png
-
-
-Example:
-
 The two main components are the libraries and saveWidget function
 
 .. code-block:: R
@@ -136,18 +135,51 @@ An example Choropleth map is included in the installation.
 
 
 
-Description
---------------
-
-The Description is the text that will appear at the bottom of the map link
-
-.. image:: images/Name.png
-
-
-
 R Plotly
 ===================================
 
+To create an R Leaflet Map, click on "Add New" button.
+
+   .. image:: images/Add-Map.png
+
+
+FTP, Upload, or Paste your code.
+
+Give your R code a Name and Description.
+
+
+Example
+--------------
+
+The three main components are the plotly, ggplot2, and htmlwidgets function
+
+.. code-block:: R
+   
+   # Main libraries for Plotly
+   library(plotly)
+   library(ggplot2)
+   library(htmlwidgets)
+
+   # Your R Code Here
+
+   #saveWidget
+   htmlwidgets::saveWidget(as_widget(p), file="index.html")
+
+An example of a Plotly app is included in the installation.
+
+
+.. code-block:: R
+
+   library(plotly)
+   library(ggplot2)
+   library(htmlwidgets)
+
+   set.seed(100)
+   d <- diamonds[sample(nrow(diamonds), 1000), ]
+   p <- plot_ly(d, x=~carat, y=~price, text=~paste("Clarity: ", clarity), mode="markers", color=~carat, size=~carat)
+   htmlwidgets::saveWidget(as_widget(p), file="index.html")
+
+
 There are three options for creating a Map.