userfriendlyscience (version 0.7.2)

asymmetricalScatterMatrix: asymmetricalScatterMatrix

Description

This function generates an asymmetrical scatterMatrix with histograms showing the distribution of each variable.

Usage

asymmetricalScatterMatrix(dat, cols, rows, theme = dlvTheme(),
                          autoSize = TRUE,
                          txtHeight = 1, histHeight = 3,
                          scatterWidth = 6, scatterHeight = 6, unit = "cm",
                          dpi = 200, showCorrelations=c('top-left',
                          'top-right', 'bottom-left', 'bottom-right'),
                          correlationSize = 15,
                          correlationColor = "#cadded",
                          pointSize = 1.5)

Arguments

dat

The dataframe containing the items to show in the scatterMatrix.

cols

The variable names of the variables to place on the columns.

rows

The variable names of the variables to place on the rows.

theme

Which ggplot theme to use.

autoSize

Whether to resize the plot depending on the viewport (i.e. device that is being drawn to) or whether to use the four measurements specified below (txtHeight, histHeight, scatterWidth, and scatterHeight) to size the plot.

txtHeight, histHeight, scatterWidth, scatterHeight

These numbers are used to determine the space used for displaying the scatterplots, histograms, and labels in the final scatterMatrix.

unit

The unit in which txtHeight, histHeight, scatterWidth, and scatterheight are provided.

dpi

The DPI of the final plot.

showCorrelations

Where to display correlation coefficients; set to NULL to display no correlation coefficients.

correlationSize

The size(s) of the correlation coefficient(s).

correlationColor

The color of the correlation coefficient(s).

pointSize

The size of the points in the scatterplots.

Value

A scatterMatrix, just not symmetrical.

Examples

# NOT RUN {
asymmetricalScatterMatrix(infert, cols=c("parity", "age"),
                          rows=c("induced", "case", "spontaneous"),
                          showCorrelations="top-right");
# }