fplot
is an R
package made for the easy plotting of distributions.
The problem when it comes to distributions is that we often face a variety of data, each requiring a different type of layout: we don't represent the distribution of categorical variables similarly to continuous variables, and regarding the latter heavily skewed data may require a special treatment. The aim of fplot
is to automatically make choices for the user in order to always display meaningful (and hopefully beautiful!) graphs.
This brief description shows a gallery of fplot
possibilities. For a more detailed introduction, please see the walk-through.
The data sets used are us_pub_econ
(from fplot
) relating to publications in economics from US institutions, trade
(from package fixest
) relating to trade value between countries for some products in the European Union, and the iris
data set (from base R
).
One aim of fplot
is to easily export graphs, it therefore includes a tool to relabel the variable names globally (once and for all). The following line is run before plotting the graphs:
setFplot_dict(c(Origin = "Exporting Country", Destination = "Importing Country", Euros = "Exports Value in €",
jnl_top_25p = "Pub. in Top 25% journal", jnl_top_5p = "Publications in Top 5% journal",
journal = "Journal", institution = "U.S. Institution", Petal.Length = "Petal Length"))
The code to run the plots are in the titles of the graphs. You'll notice that the same command line can result in a set of different graphs.
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