hier {adegenet} | R Documentation |
Access and manipulate the population hierarchy for genind or genlight objects.
Description
The following methods allow the user to quickly change the hierarchy or population of a genind or genlight object.
Usage
hier(x, formula = NULL, combine = TRUE, value)
hier(x) <- value
Arguments
x |
a genind or genlight object |
formula |
a nested formula indicating the order of the population hierarchy to be returned. |
combine |
if |
value |
a formula specifying the full hierarchy of columns in the strata slot. (See Details below) |
Details
You must first specify your strata before you can specify your hierarchies. Hierarchies are special cases of strata in that the levels must be nested within each other. An error will occur if you specify a hierarchy that is not truly hierarchical.
Details on Formulas
The preferred use of these functions is with a formula
object. Specifically, a hierarchical formula argument is used to name which
strata are hierarchical. An example of a hierarchical formula would
be:
~Country/City/Neighborhood |
This convention was
chosen as it becomes easier to type and makes intuitive sense when defining
a hierarchy. Note: it is important to use hierarchical formulas when
specifying hierarchies as other types of formulas (eg.
~Country*City*Neighborhood
) will give incorrect results.
Author(s)
Zhian N. Kamvar
See Also
Examples
# let's look at the microbov data set:
data(microbov)
microbov
# We see that we have three vectors of different names in the 'other' slot.
?microbov
# These are Country, Breed, and Species
names(other(microbov))
# Let's set the hierarchy
strata(microbov) <- data.frame(other(microbov))
microbov
# And change the names so we know what they are
nameStrata(microbov) <- ~Country/Breed/Species
# let's see what the hierarchy looks like by Species and Breed:
hier(microbov) <- ~Species/Breed
head(hier(microbov, ~Species/Breed))