Hi!
I've found that in many answers (mainly in SO), people use ..density..
, ..count..
, ..PANEL..
etc.
Where can I find the documentations of these? Or, at least can I find a list of the computed variables that I may use?
Thanks.
Hi!
I've found that in many answers (mainly in SO), people use ..density..
, ..count..
, ..PANEL..
etc.
Where can I find the documentations of these? Or, at least can I find a list of the computed variables that I may use?
Thanks.
The newer stat()
function (from about a year back) allows you to avoid that syntax for calculated aesthetics (and has better — i.e. existing — documentation).
https://ggplot2.tidyverse.org/dev/reference/stat.html
Calculated aesthetics
The new
stat()
function offers a cleaner, and better-documented syntax for calculated-aesthetic variables. This replaces the older approach of surrounding the variable name with..
. Instead of usingaes(y = ..count..)
, you can useaes(y = stat(count))
.This is particularly nice for more complex calculations, as
stat()
only needs to be specified once; e.g.aes(y = stat(count / max(count)))
rather thanaes(y = ..count.. / max(..count..))
.
You can find the list in the help page for each geom_
also I think the current way to access computed variables is using stat()
Density, count and panel are general terms in statistics.
Density is the continuous distribution of values over a range by frequency. A common example is the normal distribution. There are other distributions for which tools are available in R{base}
and other packages.
Count simply refers to the number, usually abbreviated n
of observations. There are many count() functions available in R
, many for specialized purposes such as genetics. The most general function that I am aware of is dplyr:count
.
Panel is time series data, often referred to as "longitudinal" in medicine and social sciences. Econometricians are especially found of these terms.
Aside from wiki, the R Search Engine is a good resource for finding examples of packages implementing these concepts and the documentation or vignettes may provide additional insight.
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