Advanced annotating of faceted box plots in R

Advanced annotating of faceted box plots in R

By : ibitom
Date : November 14 2020, 04:48 PM
fixed the issue. Will look into that further Assuming you stored the plot in p, you could create another data frame like this:
code :
p + geom_text(data = data.frame(Method = levels(my.data.2.df$Method), 
                                Category = "True positives",
                                y = aggregate(Value ~ Method, data = my.data.2.df[my.data.2.df$Category == "True positives", ], FUN = max)$Value,
                                label = paste0("Result ", LETTERS[1:3], " {}")), 
              aes(y = y, 
                  label = label), 
              color = "orange", 
              vjust = -3, 
              fontface = "bold")
f <- function(my.data.2.df, yAdj = .2) {
  tmp <- transform(expand.grid(Method = levels(my.data.2.df$Method), 
                        Filter = levels(my.data.2.df$Filter)),
            Category = "True positives",
            y = aggregate(Value ~ Method + Filter, 
                          data = my.data.2.df[my.data.2.df$Category == "True positives", ], 
                          FUN = max)$Value)
  tmp$label <- paste0("Result ", LETTERS[1:nrow(tmp)], " {}")
  y.adjust <- as.vector(diff(t(aggregate(Value ~ Method + Filter, 
                                         data = my.data.2.df, 
                                         FUN = range)$Value))) * yAdj  
  tmp$y <- tmp$y + y.adjust

p + geom_text(data = f(my.data.2.df), 
            aes(y = y, label = label), color = "orange", fontface = "bold")

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Matplotlib: annotating plots with arbitrary shapes

Matplotlib: annotating plots with arbitrary shapes

By : Adrien Luneau
Date : March 29 2020, 07:55 AM
should help you out It is indeed possible to add shapes like you describe to at maplotlib axes object. See this example: http://matplotlib.org/examples/shapes_and_collections/artist_reference.html
So you need to do two things:
R - Add string with superscript to faceted plots

R - Add string with superscript to faceted plots

By : Zaprian Lapkov
Date : March 29 2020, 07:55 AM
it should still fix some issue After some more research, I found the answer.
The key here is to use tildes:
code :
One category per faceted box plots

One category per faceted box plots

By : user1765304
Date : March 29 2020, 07:55 AM
will be helpful for those in need There is no real need for facets here other than aesthetics (see @LAP's answer), but if you insist on using facets you can do
code :
ggplot(df, aes(x = Category, y = Age)) +
    geom_point() +
    ggtitle('Distribution of Player Age By Category') +
    facet_wrap(~ Category, scales = "free_x")
Adding plots in between faceted plots with ggplot

Adding plots in between faceted plots with ggplot

By : user1932431
Date : March 29 2020, 07:55 AM
this will help There is a function grid.arrange() from gridExtra package (nice explanation [here])1. This allows you to take separately plotted plots and then arrange them in a consistent grid and adjust the size of each plot individually if needed. For this to work you would need to plot each one of your facets separately and then pass them to the package.
Assuming that each of your facets is called something like A1 for top left, B4 for bottom left. Your code would look something like this:
code :
   grobs = c(Al:B4)
   widths = c(2, 1, 2, 1),
   layout_matrix = rbind(c(1, 2, 3, 4),
                         c(5, 6, 7, 8))
Different scale for faceted plots: scale_y_continuous()

Different scale for faceted plots: scale_y_continuous()

By : Paul-Arthur Oddon
Date : March 29 2020, 07:55 AM
I hope this helps . Answer is simple: use scale_y_continuous(labels = abs). Final code looks as follows:
code :
country <- c(1, 1, 1, 1, 2, 2, 2, 2)
age.range <- c("0-4", "0-4", "5-9", "5-9", "0-4", "0-4", "5-9", "5-9")
sex <- rep(c("M", "F"), times = 4)
pop <- c(-8, 9, -9, 8, -88, 99, -99, 88)
pop.pyr <- data.frame(country, age.range, sex, pop)


ggplot(pop.pyr, aes(x = age.range, y = pop, fill = sex)) + 
geom_col() +
coord_flip() +
scale_y_continuous(labels = abs)
facet_wrap(~ country, scales = "free_x")
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