I've successfully plotted (in the plot and abline code below) a simple
regression of Lambda1_2 on VV1_2. I then successfully regressed Lambda1_2 on
VV1_2, VV1_22 and VV1_212 producing lm2.l. When I go to plot lm2.l using abline
I get the warning:
"1: In abline(lm2.l, col = "brown", lty = "dotted", lwd = 2) : only using the
first two of 4 regression coefficients"
Is there another function like abline that will produce a line using the
constant and three coefficients from the lm2.l regression?
lm.l <- lm(Lambda1_2 ~ VV1_2, method = "qr", model = TRUE, x = FALSE, y =
FALSE, qr = TRUE) # unweighted regression
lm2.l <- lm(Lambda1_2 ~ VV1_2 + VV1_22 + VV1_212, method = "qr", model = TRUE,
x = FALSE, y = FALSE, qr = TRUE) # unweighted regression
plot(VV1_2, Lambda1_2, ylim=yrange, tck=1, main="V(1) Parameters (V, V^2 &
V^0.5)", xlab="VV1_2", ylab="Lambda & Beta1_2",pch=19,col="red")
{abline(lm2.l, col="brown", lty="dotted", lwd=2)
abline(wlm2.l, col="gold",lty="longdash", lwd=2)
points(VV1_2, Beta1_2, pch=19, col="blue")
abline(lm2.b, col="black",lty="dotted", lwd=2)
abline(wlm2.b, col="blue", lty="longdash", lwd=2)
legend("topright", inset=.05, title="Parameters",
labels, lwd=2, lty=c(1, 1, 1, 1, 2), col=colors)
}
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