I have two linear fits that I\'ve gotten from lm calls in my R script. For instance...
fit1 <- lm(y1 ~ x1)
fit2 <- lm(y2 ~ x2)
I\'d l
I am a little surprised there isn't a built in function for this.
Here is a rudimentary function (for lm results), using the same general method as Tommy above. This uses the simple substitution method for two lines in the form "y=mx+b" to find the common intersection at y (y1=y2 ; m1*x + b1 = m2*x + b2) and solves for x:
Function definition
# Linear model Intercept function
lmIntx <- function(fit1, fit2, rnd=2) {
b1<- fit1$coefficient[1] #y-int for fit1
m1<- fit1$coefficient[2] #slope for fit1
b2<- fit2$coefficient[1] #y-int for fit2
m2<- fit2$coefficient[2] #slope for fit2
if(m1==m2 & b1==b2) {print("Lines are identical")
} else if(m1==m2 & b1 != b2) {print("Lines are parallel")
} else {
x <- (b2-b1)/(m1-m2) #solved general equation for x
y <- m1*x + b1 #plug in the result
data.frame(x=round(x, rnd), y=round(y, rnd))
}
}
Test:
line1 <- data.frame(x=c(0,1), y=c(0,2))
line2 <- data.frame(x=c(0,1), y=c(1,3))
line3 <- data.frame(x=c(0,1), y=c(1,5))
lmIntx(lm(line1$y~line1$x), lm(line2$y~line2$x))
[1] "Lines are parallel"
lmIntx(lm(line1$y~line1$x), lm(line1$y~line1$x))
[1] "Lines are identical"
lmIntx(lm(line1$y~line1$x), lm(line3$y~line3$x))
x y
(Intercept) -0.5 -1