choroplethr 1.6.0
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FEATURE
  -Add a flag to the choroplethr() function, renderAsInsets.  If TRUE and user asked to view all 
states, then AK and HI will be rendered as insets, which is the standard way of rendering a map of
all 50 US states. 
  -Create a data.frame, map.states, which contains a map for all 50 states plus the District of Columbia.  See ?map.states for details.
  -Create a data.frame, state.names, which contains naming information for each state in map.states. See ?state.names for more information.
  -Create a data.frame, map.counties, which contains a map for the counties of all 50 states plus the District of Columbia.  See ?map.counties for details.
  -Create a data.frame, county.names, which contains naming information for each county in map.counties. See ?county.names for more information.

BUG FIXES

choroplethr 1.5.0
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FEATURE
  -Make NA values appear black on the map.  The default value for NA values in ggplot2, grey50, was difficult to distinguish from the light values in the brewer scale.
  -Create function clip_df(data.frame, lod) that clips a data.frame to a map.  This is useful
when you want to do statistics on a data.frame (such as above/below median values), and have your computations match the map.  For example, maps in choroplethr do not contain Alaska or Hawaii.
  -Rename vignettes so that they appear in proper order on CRAN website.
  -Export format_levels function

BUG FIXES
  -handle counties with leading zeroes.

choroplethr 1.4.0
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FEATURE
  -New choroplethr_animate function for animating choropleth maps.  See ?choroplethr_animate
  -Handle string data as values
  -add example datasets and update help
  -Add commas to scales.

BUG FIXES
  -Choropleths of state, county and zip data with factor values were broken

choroplethr 1.3.0
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BUG FIXES
  -Subsetting by state was broken for state and county choropleths
  -Fix a bug where ACS state choropleths were not displaying titles
  
FEATURES
  -Some features to support integration with shiny - requested by pssguy via github.  
    -New function get_acs_column_names 
    -New parameter column_idx parameter to function get_acs_df
  -Improve formatting of discrete scales
  
choroplethr 1.2.0
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FEATURES
-Create 3 new functions which support a workflow of giving users more control of choropleths
  -get_acs_df, which gets an ACS table as a data.frame.  You can then use, for example, cut2 to discretize the values as you see fit.
  -bind_df_to_map, which binds a data.frame of (region, value) pairs to a state, county or zip map.
  -render_choropleth, which renders a choropleth from (map, value) pairs.

-Improve documentation

choroplethr 1.1.0
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FEATURES
  -Allow users to specify choropleths of a subset of states.  See the "states" parameter in ?choroplethr and ?choroplethr_acs.
  -choroplethr_acs now supports year and span fields.  See http://1.usa.gov/1geFSSj for a list of all ACS years with spans.  However, see http://www.census.gov/developers/data/ for a list of which ACS are available via the Census API.  Currently it is the 5-year surveys ending in 2010, 2011, 2012.  Thanks to Ezra Haber Glenn for clarifying this.

choroplethr 1.0.1
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  -Add requirement of minimum R version of 3.0.0 in the DESCRIPTION file.  See https://groups.google.com/forum/#!topic/choroplethr/Owv7NgAacGE for details.
