table {base} | R Documentation |
table
uses the cross-classifying factors to build a contingency
table of the counts at each combination of factor levels.
table(..., exclude = c(NA, NaN), dnn, deparse.level = 1)
... |
objects which can be interpreted as factors (including character strings), or a list (or data frame) whose components can be so interpreted |
exclude |
values to use in the exclude argument of factor
when interpreting non-factor objects |
dnn |
the names to be given to the dimensions in the result (`the dimname names' |
deparse.level |
controls how the default dnn is
constructed. See details. |
If the argument dnn
is not supplied, the internal function
list.names
is called to compute the `dimname names'. If the
arguments in ...
are named, those names are used. For the
remaining arguments, deparse.level = 0
gives an empty name,
deparse.level = 1
uses the supplied argument if it is a
symbol, and deparse.level = 2
will deparse the argument.
## Simple frequency distribution table(rpois(100,5)) data(warpbreaks) attach(warpbreaks) ## Check the design: table(wool, tension) data(state) table(state.division, state.region) data(airquality) attach(airquality) # simple two-way contingency table table(cut(Temp, quantile(Temp)), Month) a <- letters[1:3] table(a, sample(a)) # dnn is c("a", "") table(a, sample(a), deparse.level = 0) # dnn is c("", "") table(a, sample(a), deparse.level = 2) # dnn is c("a", "sample(a)")