Summarise and plot sampling effort for epidermal traits

subsampling_summary(df, traits, thresholdvalue = 0.2, number.of.bins = 6)

Arguments

df: A data.frame of the type output by subsample_epidermal_traits
traits: Character vector of the traits to summarise.
thresholdvalue: Numeric. Desired threshold for sample variation. Defaults to 0.2.
number.of.bins: Numeric. How many bins should be used to summarise samples? Recommended to use the same number of bins as values of k in subsample_epidermal_traits.

Value

A list of length 2: the first element (a list) contains the ggplot objects and the second (also a list) contains summarised data.

Examples

if (FALSE) {
#This example takes quite a while to run - see vignette for more details

sampled <-  subsample_epidermal_traits(traits1.1, n.runs = 100,
k.cells = c(100,150,200,250,300,350,400),
scaling =globalSDs,
trait.subset = reliable_traits)

summ <- subsampling_summary(sampled,
                           traits=c("stomzone.area.median" ,
                                    "stomatal.index",
                                    "stomzone.undulation.amp.median",
                                     "pavezone.undulation.amp.median"))
}