Frequency Table for a Single Variable
Calculates absolute and relative frequencies of a vector x. Continuous (numeric) variables
will be cut using the same logic as used by the function hist.
Categorical variables will be aggregated by table. The result will contain single and cumulative frequencies for both, absolute values and percentages.
Freq(x, breaks = hist(x, plot = FALSE)$breaks, include.lowest = TRUE,
ord = c("level", "desc", "asc", "name"),
useNA = c("no", "ifany", "always"), ...)
## S3 method for class 'Freq'
print(x, digits = NULL, ...)x |
the variable to be described, can be any atomic type. |
breaks |
either a numeric vector of two or more cut points or a single number (greater than or equal to 2)
giving the number of intervals into which x is to be cut. Default taken from the function |
include.lowest |
logical, indicating if an x[i] equal to the lowest (or highest, for |
ord |
how should the result be ordered? Default is |
useNA |
one out of |
digits |
integer, determining the number of digits used to format the relative frequencies. |
... |
further arguments are passed to the function |
If breaks is specified as a single number, the range of the data is divided into breaks pieces of equal length,
and then the outer limits are moved away by 0.1% of the range to ensure that the extreme values both fall
within the break intervals.
(If x is a constant vector, equal-length intervals are created that cover the single value.)
an object of type "Freq", which is basically a data.frame with 5 columns (earning a specific print routine), containing the following components:
level |
factor. The levels of the grouping variable. |
freq |
integer. The absolute frequencies. |
perc |
numeric. The relative frequencies (percent). |
cumfreq |
integer. The cumulative sum of the absolute frequencies. |
cumperc |
numeric. The cumulative sum of the relative frequencies. |
Andri Signorell <andri@signorell.net>
data(d.pizza) # result is a data.frame d.freq <- Freq(d.pizza$price) d.freq # it is printed by default with 3 digits for the percent values, # but the number of digits can be defined in the print function print(d.freq, digits=5) # sorted by frequency Freq(d.pizza$driver, ord="desc") # sorted by name, including NAs Freq(d.pizza$driver, ord="name", useNA="ifany") # percentages and cumulative frequencies for a vector of count data Freq(as.table(c(2,4,12,8)))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.