| plotReg {LearningStats} | R Documentation | 
Representation of a Linear Regression Model
Description
Representation of a Linear Regression Model
Usage
plotReg(x, y, main = "Linear Regression Model",
  xlab = "Explanatory variable (X)", ylab = "Response variable (Y)",
  col.points = "black", col.line = "red", pch = 19, lwd = 2,
  legend = TRUE)
Arguments
| x | a numeric vector that contains the values of the explanatory variable. | 
| y | a numeric vector that contains the values of the response variable. | 
| main | a main title for the plot; default to "Linear Regression Model". | 
| xlab | x-axis label; default to "Explanatory variable (X)". | 
| ylab | y-axis label; default to "Response variable (Y)". | 
| col.points | a single colour associated with the sample points; default to "black". | 
| col.line | a single colour associated with the fitted linear regression model; default to "red". | 
| pch | an integer specifying a symbol or a single character to be used as the default in plotting points; default to 19. | 
| lwd | line width for the estimated model, a positive number; default to 2. | 
| legend | logical value; if TRUE (default), a legend with details about fitted model is included. | 
Value
This function is called for the side effect of drawing the plot.
Examples
x=rnorm(100)
error=rnorm(100)
y=1+5*x+error
plotReg(x,y)