Dear R-users
I have four simple linear models, which are all in the form of a*X+b
The estimated parameter vectors are
a <- c(1,2,3,4)
b <- c(4,3,2,1)
My goal is to draw a plot where x-axis is X (range from -100 to 100) and
y-axis is the sum of
all four linear models
X <- seq(-100,100, length=10000)
plot(X, sum of the four linear functions)
I started with a function for summing
summing <- function(a,b)
{temp <-0;
for (i in 1:length(a))
temp <- temp + a[i]*X+b[i]
}
plot(X, summing(a,b))
I am a R beginner. I am looking for a more efficient R code.
Any help or advice will be appreciated.
Taka,
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