ggtern makes use of several non-exported internal functions, list are as follows:ifthenelse function takes input arguments x, a and b and returns a if x is TRUE, else, returns b
is.numericor function takes input arguments A and B and returns A if A is numeric, else, returns B
find_global_tern is a function that conducts a named search for the name object instance, within the env environment.
If an instance doesn't exist within the env environment, a search is then conducted within the ggtern and ggplot2
namespaces (in that order). This is a modified version of the original source as provided in ggplot2, which has the same functionality, however, the modification is such that the function
now additionally searches within the ggtern namespace prior to the ggplot2 namespace.
getBreaks is a function that calculates the Breaks for Major or Minor Gridlines based
on the input limits.
tern_dep is a function that gives a deprecation error, warning, or messsage,
depending on version number, it is based of the gg_dep function which is
used inside the ggplot2 package
arrow_label_formatter is a function that formats the labels directly adjacent to the ternary arrows.
joinCharacterSeries is a function will turn a character vector
from the format c('a','b','c') to a single string
in the following format: "'a','b' and 'c'"
identityInv is a function which returns exactly the same as identity however
it can be used within transformation logic via do.call(...) in the same way as for example
ilrInv is to ilr.
getFormulaVars is a function that returns a list of either dependent or independent variables used
in an input formula
Function to add missing scales and other items to the plot and its coordinates sytem
Function to add clipping mask if it isn't already present
ifthenelse(x, a, b)is.numericor(A, B)
find_global_tern(name, env = environment())
getBreaks(limits, isMajor, nMajor = 5, nMinor = 2 * nMajor)
tern_dep(version, msg)
arrow_label_formatter(label, suffix = NULL, sep = "/")
joinCharacterSeries(x, lastWord = "and")
identityInv(z)
getFormulaVars(x, dependent = TRUE)
scales_add_missing_tern(plot)
layers_add_missing_mask(plot)
x is TRUEx is FALSEA is NOT numeric