| table {base} | R Documentation |
Cross Tabulation
Description
table uses the cross-classifying factors to build a contingency
table of the counts at each combination of factor levels.
Usage
table(..., exclude = c(NA, NaN), dnn, deparse.level = 1)
Arguments
... |
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 |
dnn |
the names to be given to the dimensions in the result ('the dimname names' |
deparse.level |
controls how the default |
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.
Examples
## 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)")