| 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)")