Hello,
I have a basic question on mle.stepwise, which seems to return
strange answers, even on a basic example. I posted this last May but
never got an answer. I resend it here hoping it will this time.
# BEGIN
require(wle)
x1 = runif(100)
x2 = runif(100)
y = 3 + 2*x1 + rnorm(100)
Hello,
I am not able to plot a circle of a given radius using symbols(). In
the example below, the circle appears too large:
plot(0, 0, xlim = c(-1, 1), ylim = c(-1, 1))
symbols(0, 0, circles = 1, inches = FALSE, add = TRUE)
What's happening?
Ery
__
Hello,
I am getting some unexpected results when using mle.stepwise:
# BEGIN
require(wle)
x1 = runif(100)
x2 = runif(100)
y = 3 + 2*x1 + rnorm(100)
# so x1 is in the model, but not x2
mle.stepwise(y ~ x1 + x2, type = "Backward")
# Backward selection gets it right, the other
Hello,
Is there a way to generate EPS figures automatically out of a chunk
of code? Basically, I would like to do something like Sweave does (I
just find it a little cumbersome to create a .Rnw file and then keep
track of the figure numbering). Thanks for your time.
Ery Arias-Castro
__
Hi,
I am trying to understand how the functions em() and me() from the
mclust package work. I cannot make sense of what the algorithm
returns. Here is a basic, simple example:
#
# two bivariate normals, centered at (-5,0) and (5,0), with Id
covarian
Hi,
I would like to evaluate a function f(x,y) taking two vectors as
entries on all pairs of X rows and Y rows, where X and Y are n-by-p
and m-by-p matrices respectively. Of course, I would like to avoid
loops if possible, as the dataset I want to process is quite large.
I was not able t
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