Usage
regression(x, y, main, scr, value=function(regr) regr$coeff[2],
variable="var", mode=c("nographics", "plot", "interactive"),
regr.select=c("coefficients"), averaging=FALSE, cex.main=0.85,
col.passive = "grey", col.active = "green",
col.main.passive = "black", col.main.active = "red",
col.points.chosen = "lightblue", col.abline = "yellow",
col.abline.chosen = "darkblue", col.smooth = "red", ...)Arguments
x
x-coordinates of the regression plot
scr
split.screen must have been called beforehand;
scr gives the screen number
value
function; the characteristic of interest is a
function of the regression output.
variable
name of the characteristic of interest, plotted in the graphs
mode
A scalar character of one of the following values
'silent', 'plot', or 'interactive': [object Object],[object Object],[object Object]
Any mode includes all the functionalities of the modes that precede in
the above enumeration.
In the
regr.select
vector of characters that select elements from the
lm return list; these elements are returned by
regression. averaging
logical. If TRUE and y is matrix then
the values of y are averaged row-wise beforehand
cex.main
font size of the title
col.passive
colour of the data points if plot is not active
col.active
colour of the data points if plot is active
col.main.passive
colour of the title if plot is not active
col.main.active
colour of the title if plot is active
col.points.chosen
colour of the selected points
col.abline
colour of the regression line for all points
col.abline.chosen
colour of the regression line for the selected points
col.smooth
colour for the smoothed data
...
further graphical parameters