Divide into groups and reassemble.Source:
Divide into groups and reassemble.
# S3 method for intensity split(x, f, drop = FALSE, ..., by, unit_size)
vector or data frame containing values to be divided into groups.
a ‘factor’ in the sense that
as.factor(f)defines the grouping, or a list of such factors in which case their interaction is used for the grouping. If
xis a data frame,
fcan also be a formula of the form
~ gto split by the variable
g, or more generally of the form
~ g1 + ... + gkto split by the interaction of the variables
gk, where these variables are evaluated in the data frame
xusing the usual non-standard evaluation rules.
logical indicating if levels that do not occur should be dropped (if
factoror a list).
further potential arguments passed to methods.
The name(s) of the variable(s) which define(s) the grouping.
Size of a group unit. It must be a named vector, with names corresponding to non-observational variables (i.e. space and time variables). If the size of a variable in the data set is not a multiple of the provided value in
unit_size, some sampling units (the last ones) will be dropped so that clumps of individuals remain even throughout the data set.
A list of
my_incidence <- incidence(tomato_tswv$field_1929) plot(my_incidence, type = "all") #> Warning: Computation failed in `stat_summary()` #> Caused by error in `get()`: #> ! object 'mean_sdl' of mode 'function' was not found my_incidence_spl1 <- split(my_incidence, by = "t") my_incidence_spl2 <- split(my_incidence, unit_size = c(x = 8, y = 20, t = 1))