choroplethr | choroplethr simplifies the creation of choropleths | Map library

Thank you for using Choroplethr.

I think that there are a few issues here. The first one I'd like to address is that your value column contains numeric data. This by itself is not a problem. But because you are actually using it to code categorical data (i.e. "MD", "OD", etc.) this is a problem. Therefore my first task will be to change the data type from numeric to character data:

Here a solution just with ggplot2.

• Get the polygon data with usmap::us_map. (as you did)
• Left join with your share data (Capitalise Your Region Names First)
• Create centroids for the text annotation.
• Those centroids and the share are best put into a separate data frame
• Draw polygons with geom_polygon
• Draw your labels (State abbreviation and shares) with geom_text, using paste.(you can also use annotate)
• Pass the data separately to each layer. (Empty ggplot main call)

The advantage is the use of ggplot syntax makes control of color/ fill aesthetic very easy and you can also very easily customise line thickness and size of text.

As for the state abbreviations, I only used the first to letters - this may not be the official abbreviation. There is most certainly some vector out there how to convert this easily.

Thank you for using choroplethr. Note that Choroplethr uses R6 Objects. In fact, the state_choropleth function is just a convenience wrapper for the StateChoropleth R6 object:

I'd call this a straight forward example of data wrangling.. you need to find where all your needed data is. That is, map_data("county") is missing the fips, then you need to google where to find it - maps::county.fips, check the format, create a data frame from it and then join it in and use it.

The problem with OP's code is that geom_point and geom_text inherit data and aesthetics from what was used to create test.map

If we want to use a different data set for additional layers we need to specify the data argument in each of them and also set inherit.aes to FALSE.

This is possible. There are a few things you need to understand in order to accomplish it:

1. All choroplethr functions return ggplot2 objects. The scale for these plots is long and lat.
2. You can add another layer to ggplots with the + operator.
3. You need to know the long and lat of all the cities you want to add. According to google, Boston is at long=42.361145, lat=-71.057083.
4. Choroplethr itself has no knowledge of cities and their locations.

Here is demonstration of using geom_point to to add a black dot for Boston:

For Ubuntu with R 3.5 you can use the c2d4u3.5 PPA made available by the same persons that bring you R Ubuntu packages on CRAN, c.f. https://cran.r-project.org/bin/linux/ubuntu/README.html and http://dirk.eddelbuettel.com/blog/2017/12/22/:

It looks like you are installing choroplethrZip version 1.4.0. However, if you go to the choroplethrZip github page you will see that the latest version is actually 1.5.0.

When I run this code:

The error is due to gpclibPermitStatus() returning FALSE.

Unfortunately, this is a common error that comes up when working with choroplethr. I once gave a lengthy answer to the question here.

The short answer is to type the following: