On 12/24/2006 12:06 AM, Christos Hatzis wrote:
This might be an trivial thing but I am stuck.
Consider:
xx - list(a=1:5, b=letters[1:5])
Although object xx is accessible through its name,
how can object xx$b be accessed similarly through its name?
name - b
xx[[name]]
will work.
Is this what you are looking for:
my.length.2 - function(...) {
+f - function(nm, val) length(val)
+mapply(f, make.names(as.list(match.call()[-1])), list(...))
+ }
my.length.2(xx, xx$b)
xx xx.b
25
On 12/24/06, jim holtman [EMAIL PROTECTED] wrote:
use 'eval' and 'parse'
xx
Dear Dirk and Ivo,
It's true that the sandwich package has more extensive facilities for
sandwich variance estimation than the hccm function in the car package, but
I think that the thrust of Ivo's question is to get a model summary that
automatically uses the adjusted standard errors rather than
John Fox wrote:
Dear Dirk and Ivo,
It's true that the sandwich package has more extensive facilities for
sandwich variance estimation than the hccm function in the car package, but
I think that the thrust of Ivo's question is to get a model summary that
automatically uses the adjusted
Dear Frank,
If I remember Freedman's recent paper correctly, he argues that sandwich
variance estimator, though problematic in general, is not problematic in the
case that White described -- an otherwise correctly specified linear model
with heteroscedasticity estimated by least-squares.
John Fox wrote:
Dear Frank,
If I remember Freedman's recent paper correctly, he argues that sandwich
variance estimator, though problematic in general, is not problematic in the
case that White described -- an otherwise correctly specified linear model
with heteroscedasticity estimated by
On 12/23/06, Wensui Liu [EMAIL PROTECTED] wrote:
if you recommend one, I will really appreciate it if you could point
out a good source for learning as well.
We have found Python to be the perfect choice for our work. Python is
a high-level, cross-platform language that is easy to learn/write
thank you, everybody. It's hard to find much fault with R, but one
feature that would be nice to have would be hooks to output functions
that make it easy to augment to the output---e.g., to add a new
statistic to summary (e.g., mean, sd, different stderrs). not a big
flaw, because one can write
On 12/23/06, Wensui Liu [EMAIL PROTECTED] wrote:
from statisticians' point of view, which scripting language is worth
to learn, perl, python, or any other recommendation? (Most likely, I
will be learning it in windows.) Since I am not in research, I will
prefer one widely used in industry and
Hi all.
I want to calculate partial correlations while controlling for one or more
variables. That works already fine when I control for example just for x[,1]
and x[,2] that gives me one single correlation matrix and i have to to it
for
x [,1]...x[,10]. That would give me out 10 matrices.
Thank you Gabor. Very interesting solution.
If I get it right, the first argument in function f is just a placeholder to
help extract the right element out of the list(...) that is passed to
length. Very smart trick.
Jim's solution appears a bit simpler, at least along the lines that I was
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