Description Usage Arguments Value Examples
Plots two of the years side by side to better compare the diversity of Williams College's geographical distribution of students. There is an international options, and a statemap option.
1 2 | sidebyside(year1, year2, title1 = "", title2 = "", savename = "plot",
US = TRUE, save = FALSE, interactive = FALSE, change = FALSE)
|
year1 |
The vector for a year of data. It is important to note that you can also plot sidebyside data of differences |
year2 |
The vector for a year of data |
title1 |
The title of the plot and the name which it will be saved to |
title2 |
The title of the second plot |
savename |
The name the plot is saved to |
US |
choice of mapping US territories or mapping international countries |
save |
TRUE to save, FALSE to not |
interactive |
TRUE to choose the interactive mode in viewer, FALSE to view in just the default plot |
change |
Selects whether the year vectors given are differences between years, or just comparing dirrect yearly geographical distributions |
sidebyside S4 object that has the different year datasets mapped to it
1 2 3 4 5 6 7 8 9 10 11 | ##Creating a state map of the data with data from 2001
usmap2001 <- sidebyside(yearsdata$X2001, yearsdata$X2002, title1 = "2001", title2 = "2002")
##Creating an international map with interactive view
worldmap <- sidebyside(yearsdata$X2001, yearsdata$X2002, title1 = "2001", title2 = "2002", US = FALSE)
##Creating a sidebyside map with change
usmapofdifferences <- sidebyside(yearsdata$X2001-yearsdata$X2000, yearsdata$X2015-yearsdata$X2014,
title1 = "Change from 2000-2001",
title2 = "Change from 2014-2015",
change = TRUE)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.