plotXY: Function plotXY

In AndreasFischer1985/quantqual: Software package for analyzing quantitative and qualitative data.

Function plotXY

Description

Plots bivariate correlation based on two numeric vectors.

Usage

plotXY(
  x = NULL,
  y = NULL,
  complexity = 0,
  rep.nnet = 10,
  attrModel = T,
  na.rm = T,
  color1 = rgb(0, 0, 0, 0.7),
  color2 = rgb(0, 0, 1),
  color3 = rgb(0, 0, 1, 0.2),
  xlab = "x",
  ylab = "y",
  axes = T,
  add = F,
  main = NA,
  sub = NA,
  pch = 16,
  lwd = 2,
  cex = 0.7,
  cex.sub = 0.7,
  generalize = F,
  main1 = NULL,
  main2 = NULL,
  main3 = NULL,
  mar = NA,
  adj.main1 = 0,
  adj.main2 = 0,
  adj.main3 = 0,
  col.main1 = "black",
  col.main2 = "black",
  col.main3 = "black",
  cex.main1 = 1.2,
  cex.main2 = 1.2,
  cex.main3 = 1.2,
  font.main1 = 1,
  font.main2 = 2,
  font.main3 = 4,
  ...
)

Arguments

x	Numeric vector.
y	Numeric vector of the same length as x.
complexity	Numeric value specifying the amount of nonlinearity modelled. Defaults to 0 (i.e., a linear model).
rep.nnet	Numeric value specifying the number of nnet-objects to choose the best model from.
attrModel	Logical value specifying whether to add the model as an attribute to the object returned.
na.rm	Logical value indicating whether missing values should be skipped. Defaults to T.
color1	Color of points in the scattergram. Defaults to rgb(0,0,0,.7).
color2	Color of the regression line. Defaults to rgb(0,0,1).
color3	Color of the prediction interval. Defaults to rgb(0,0,1,.2).
...	additional parameters passed to the plot function.

Details

Plots scattergram and bivariate correlation based on two numeric vectors.

Examples

plotXY()

AndreasFischer1985/quantqual documentation built on June 20, 2022, 4:55 p.m.