try this:

a <- c(1,2,3,4)
b <- c(4,3,2,1)
X <- seq(-100,100, length=10000)
z <- colSums(sapply(X,function(x)a*x+b))
plot(X, z, type='l')


On 6/26/06, Taka Matzmoto <sell_mirage_ne@hotmail.com> wrote:
>
> 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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>



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