**ggtern: ternary diagrams in R**, and kindly contributed to R-bloggers)

The other week a user of ggtern ran into a problem where they wanted to use the `limit_tern(...)`

functionality, however there were a few marginal points / paths that extended beyond the limiting region. Under normal circumstances, the standard ggtern behaviour is to strip these points, which can interfere with the desired outcome if they are part of a continuous path or polygon etc…

This is best demonstrated with an example:

library(ggtern) data(Feldspar) ggtern(data = Feldspar, aes(Ab, An, Or)) + geom_confidence(color="blue",linetype=1) + geom_point() + limit_tern(.85,1,.85) + labs(title = 'Feldspar - Elkins and Grove 1990 + Confidence Levels')

Which produces the following output:

It is clear in the above that the tail ends get truncated, where truthfully they should flow over the boundaries of the plot region. There is a way to suppress this behaviour, which is to modify an internal global option, `tern.discard.external`

, as follows:

library(ggtern) data(Feldspar) options("tern.discard.external" = FALSE) ### NOTE THIS LINE ggtern(data = Feldspar, aes(Ab, An, Or)) + geom_confidence(color="red",linetype=1) + geom_point() + limit_tern(.85,1,.85) + labs(title = 'Feldspar - Elkins and Grove 1990 + Confidence Levels')

Which produces the following output, noting that the tails (top and right apex corners) now extend beyond past the limiting plot region.

Needless to say that this feature should be used on a discretionary basis, in very specific situations where a minor overflow can be tolerated.

The post User Request – Disable Limiting Region appeared first on ggtern: ternary diagrams in R.

**leave a comment**for the author, please follow the link and comment on their blog:

**ggtern: ternary diagrams in R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...