Plot ranking with confidence sets

Display ranks together with their confidence set bounds.

# S3 method for csranks
plot(x, ...)

plotranking(
  ranks,
  L,
  U,
  popnames = NULL,
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  colorbins = 1,
  horizontal = TRUE
)

Arguments

x

An csranks object, likely produced by csranks.

...

Other arguments, passed to plotranking.

ranks

vector of ranks

L

vector of lower bounds of confidence sets for the ranks

U

vector of lower bounds of confidence sets for the ranks

popnames

vector containing names of the populations whose ranks are in ranks. If popnames=NULL (default), then populations are automatically numbered.

title

character string containing the main title of the graph. title=NULL (default) means no title.

subtitle

character string containing the subtitle of the graph. subtitle=NULL (default) means no subtitle.

caption

character string containing the caption of the graph. caption=NULL (default) means no caption.

colorbins

integer indicating the number of quantile bins into which populations are grouped and color-coded. Value has to lie between 1 (default) and the number of populations.

horizontal

logical. Should be the bars displayed horizontally, or vertically?

Value

A ggplot plot displaying confidence sets.

Functions

• plot(csranks): Plot csranks output

Examples

x <- seq(1, 3, length = 10)
V <- diag(rep(0.04, 10))
CS <- csranks(x, V)
grid::current.viewport()
#> viewport[ROOT] 
plot(CS)

# Equivalent: 
plotranking(CS$rank, CS$L, CS$U)


# plotranking returns a ggplot object. It can be customized further:
library(ggplot2)
pl <- plot(CS)
pl + xlab("position in ranking") + ylab("population label") + theme_gray()


# horizontal = FALSE uses ggplot2::coord_flip underneath. The x and y axes swap places.
pl <- plot(CS, horizontal = FALSE)
pl + xlab("position in ranking") + # Note, that xlab refers to vertical axis now
  ylab("population label") + theme_gray()