Dennis,
this works perfectly!
Thanks,
Otto
On Fri, Mar 11, 2011 at 2:08 PM, Dennis Murphy djmu...@gmail.com wrote:
Hi:
Perhaps something like
f1(x, y) * I(z 0) + f2(x, y) * I(z = 0) ??
HTH,
Dennis
On Fri, Mar 11, 2011 at 3:10 AM, Otto Kässi otto.ka...@gmail.com wrote:
Dear r
Dear r-helpers,
This might be an elementary question, but I have a hard time getting
my head around it, so all help is much appreciated.
I am working on a nonlinear regression model of the form
if z 0
y = f1(x,y),
else
y = f2(x,t) .
In other words, the functional form of f(.) changes
-help-boun...@r-project.org] On
Behalf Of Otto Kässi
Sent: Thursday, July 01, 2010 3:28 PM
To: r-help@r-project.org
Subject: [R] rms::ols I(.) in formulas
Dear R-helpers,
To start I would like to thank Prof. Harrell for package rms. It is
one of the most useful packages for R that I have
Dear R-helpers,
To start I would like to thank Prof. Harrell for package rms. It is
one of the most useful packages for R that I have encountered.
Turning to my problem, I encountered a surprising problem when working
with rms::ols. It seems that insulating terms in a formula by using
I() to
Giovanni,
Thank you for your reply. pvcm is indeed what I was looking for.
I have a follow-up questio: plm documentation says that pvcm with
method 'within' is equivalent of estimating a separate model for each
individual. Let's assume that I would like to estimate a panel data
model with an
Dear r-helpers,
I am working with plm package. I am trying to fit a fixed effects (or
a 'within') model of the form
y_it = a_i + b_i*t + e_it, i.e. a model with an individual-specific
intercept and an individual-
specific slope.
Does plm support this directly?
Thanks in advance!
Otto Kassi
Dear R-users,
I am fitting a kernel regression model of the form y ~ x1 + factor(x2)
+ factor(x3) and am using the function npregbw in the np-package to
find the optimal bandwidths.
My dataset is relatively large and the optimization takes quite long.
When testing different specifications I
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