DescTools (version 0.99.32)

# Freq: Frequency Table for a Single Variable

## Description

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.

## Usage

```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 Freq
print(x, digits = NULL, ...)```

## Arguments

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 hist(). This is ignored if x is not of numeric type.

include.lowest

logical, indicating if an x[i] equal to the lowest (or highest, for `right = FALSE`) `"breaks"` value should be included. Ignored if x is not of numeric type.

ord

how should the result be ordered? Default is "level", other choices are 'by frequency' ("descending" or "ascending") or 'by name of the levels' ("name"). The argument can be abbreviated. This is ignored if x is numeric.

useNA

one out of `"no"`, `"ifany"`, `"always"`. Defines whether to include extra `NA` levels in the table. Defaults to `"no"` which is the `table()` default too.

digits

integer, determining the number of digits used to format the relative frequencies.

further arguments are passed to the function `cut()`. Use `dig.lab` to control the format of numeric group names. Use the argument `right` to define if the intervals should be closed on the right (and open on the left) or vice versa. In `print.Freq` the dots are not used.

## 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.

## Details

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.)

`PercTable`, `cut`, `hist`, `cumsum`, `table`, `prop.table`

## Examples

Run this code
``````# NOT RUN {
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)))
# }
``````

Run the code above in your browser using DataCamp Workspace