Freq2D: Bivariate (Two-Dimensional) Frequency Distribution

In AndriSignorell/DescTools: Tools for Descriptive Statistics

Bivariate (Two-Dimensional) Frequency Distribution

Description

Calculate a frequency distribution for two continuous variables.

Usage

Freq2D(x, ...)

## S3 method for class 'formula'
Freq2D(formula, data, subset, ...)

## Default S3 method:
Freq2D(x, y, n=20, pad=0, dnn=NULL, ...)

Arguments

x	a vector of x values, or a data frame whose first two columns contain the x and y values.
y	a vector of y values.
formula	a formula, such as y~x.
data	a data.frame, matrix, or list from which the variables in formula should be taken.
subset	an optional vector specifying a subset of observations to be used.
n	the desired number of bins for the output, a scalar or a vector of length 2.
pad	number of rows and columns to add to each margin, containing only zeros.
dnn	the names to be given to the dimensions in the result.
...	named arguments to be passed to the default method.

Details

The exact number of bins is determined by the pretty function, based on the value of n.

Padding the margins with zeros can be helpful for subsequent analysis, such as smoothing.

The print logical flag only has an effect when layout=1.

Value

The layout argument specifies one of the following formats for the binned frequency output:

1. matrix that is easy to read, aligned like a scatterplot.

2. list with three elements (x, y, matrix) that can be passed to various plotting functions.

3. data.frame with three columns (x, y, frequency) that can be analyzed further.

Author(s)

Arni Magnusson <[e-mail]>>

See Also

cut, table, and print.table are the basic underlying functions.
Freq, PercTable

Examples

Freq2D(quakes$long, quakes$lat, dnn="")
Freq2D(lat ~ long, quakes, n=c(10, 20), pad=1)

# range(Freq2D(saithe, print=FALSE))

# Layout, plot
# Freq2D(saithe, layout=2)
# Freq2D(saithe, layout=3)
# contour(Freq2D(saithe, layout=2))
# lattice::contourplot(Freq ~ Bio + HR, Freq2D(saithe,layout=3))

AndriSignorell/DescTools documentation built on Nov. 11, 2024, 12:11 p.m.