scattersplot: Exploratory scatter plots

View source: R/scattersplot.R

scattersplotR Documentation

Exploratory scatter plots

Description

Draws (in a 2 by 2 layout) the following plots: a scatter plot with a color scale, the scatter plots of the response against the (first two) coordinates and the histogram of the response values.

Usage

scattersplot(x, ...)

## Default S3 method:
scattersplot(
  x,
  z,
  main,
  xlab,
  ylab,
  zlab,
  col = hot.colors(128),
  lowess = TRUE,
  density = FALSE,
  omd = c(0.05, 0.95, 0.01, 0.95),
  ...
)

## S3 method for class 'SpatialPointsDataFrame'
scattersplot(
  x,
  data.ind = 1,
  main,
  xlab,
  ylab,
  zlab,
  col = hot.colors(128),
  lowess = TRUE,
  density = FALSE,
  omd = c(0.05, 0.95, 0.01, 0.95),
  ...
)

Arguments

x

object used to select a method.

...

additional graphical parameters (to be passed to spoints).

z

vector of data (response variable).

main

an overall title for the plot.

xlab

a title for the axis corresponding to the first coordinate.

ylab

a title for the axis corresponding to the second coordinate.

zlab

a title for the axis corresponding to the response.

col

color table used to set up the color scale (see spoints).

lowess

logical. If TRUE, a lowess smooth is added to the plots of the response against the coordinates.

density

logical. If TRUE, a kernel density estimate is added to the histogram.

omd

a vector of the form c(x1, x2, y1, y2) giving the region inside outer margins in normalized device coordinates (i.e. fractions of the device region).

data.ind

integer (or character) with the index (or name) of the data component.

Details

Standard generic function with a default method, in which argument x is a matrix with the spatial coordinates (each row is a point).

scattersplot.SpatialPointsDataFrame sets default values for some of the arguments from attributes of the object x (if present; see e.g. precipitation).

Value

No return value, called for side effects (generate the plot).

See Also

splot, spoints, lowess, density


rubenfcasal/npsp documentation built on April 23, 2023, 8:40 a.m.