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)