how to plot an user-defined function
Your function 'll' only returns a single value when passed a vector:
x <- seq(0,2,.1) ll(x)
[1] -7.571559 'plot' expects to pass a vector to the function and have it return a vector of the same length; e.g.,
sin(x)
[1] 0.00000000 0.09983342 0.19866933 0.29552021 0.38941834 0.47942554 0.56464247 0.64421769 0.71735609 [10] 0.78332691 0.84147098 0.89120736 0.93203909 0.96355819 0.98544973 0.99749499 0.99957360 0.99166481 [19] 0.97384763 0.94630009 0.90929743
So you either have to rewrite your function, or have a loop that will evaluate the function at each individual point and then plot it.
On Feb 5, 2008 7:06 PM, John Smith <zmring at gmail.com> wrote:
Dear R-users,
Suppose I have defined a likelihood function as ll(tau), how can I plot this
likelihood function by calling it by plot?
I want to do it like this:
ll <- function(tau)
{
w <- 1 / (s^2 + tau^2)
mu <- sum(theta * w) / sum(w)
-1/2*sum((theta-mu)^2*w -log(w))
}
plot(ll, 0, 2)
But have the following error:
Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' and 'y' lengths differ
In addition: Warning messages:
1: In s^2 + tau^2 :
longer object length is not a multiple of shorter object length
2: In theta * w :
longer object length is not a multiple of shorter object length
3: In (theta - mu)^2 * w :
longer object length is not a multiple of shorter object length
Thanks
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