
## S3 method for class 'factor':
reorder(x, X, FUN, ...,
order = is.ordered(x), new.order, sort = SortMixed)
X
determined by
x
, to determine factor orderFUN
ordered
factornew.order
is missingX
and FUN
, new.order
or sort
are provided.
If X
and Fun
are provided: The data in X
is grouped by the levels of x
and FUN
is applied.
The groups are then sorted by this value, and the resulting order is
used for the new factor level names.
If new.order
is provided: For a numeric vector, the new factor
level names are constructed by reordering the factor levels according
to the numeric values. For vectors, new.order
gives the list of
new factor level names. In either case levels omitted from
new.order
will become missing (NA
) values.
If sort
is provided (as it is by default): The new
factor level names are generated by applying the supplied function
to the existing factor level names. With sort=mixedsort
the
factor levels are sorted so that combined numeric and character
strings are sorted in according to character rules on the character
sections (including ignoring case), and the numeric rules for the
numeric sections. See mixedsort
for details.factor
and reorder
# Create a 4 level example factor
trt <- factor( sample( c("PLACEBO", "300 MG", "600 MG", "1200 MG"),
100, replace=TRUE ) )
summary(trt)
# Note that the levels are not in a meaningful order.
# Change the order to something useful
# default "mixedsort" ordering
trt2 <- reorder(trt)
summary(trt2)
# using indexes:
trt3 <- reorder(trt, new.order=c(4, 2, 3, 1))
summary(trt3)
# using label names:
trt4 <- reorder(trt, new.order=c("PLACEBO", "300 MG", "600 MG", "1200 MG"))
summary(trt4)
# using frequency
trt5 <- reorder(trt, X=as.numeric(trt), FUN=length)
summary(trt5)
# drop out the '300 MG' level
trt6 <- reorder(trt, new.order=c("PLACEBO", "600 MG", "1200 MG"))
summary(trt6)
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