ggplot2 Mappings And Geoms

I continue my ggplot2 series:

We have used a new geom here, geom_smooth.  The geom_smooth function creates a smoothed conditional mean.  Basically, we’re drawing some line as a result of a function based on this input data.  Notice that there are two parameters that I set:  method and se.  The method parameter tells the function which method to use.  There are five methods available, including using a Generalized Additive Model (gam), Locally Weighted Scatterplot Smoothing (loess), and three varieties of Linear Models (lm, glm, and rlm).  The se parameter controls whether we want to see the standard error bar.

I don’t cover all of the mapping options and all of the geoms, but I think it’s enough to get a grip on the concept.

Related Posts

Connecting To Elasticsearch With R

Jerod Johnson has a sample of connecting to Elasticsearch with R: You will need the following information to connect to Elasticsearch as a JDBC data source: Driver Class: Set this to cdata.jdbc.elasticsearch.ElasticsearchDriver. Classpath: Set this to the location of the driver JAR. By default, this is the lib subfolder of the installation folder. The DBI functions, […]

Read More

Voice Control For Shiny Apps

Over at Jumping Rivers, an example of using a Javascript library to control a page using voice commands: I have found that performance across all devices and browsers is definitely not equal. By far the best browser I have found for viewing the apps is Google Chrome. I have also tended to find that my […]

Read More


February 2018
« Jan Mar »