Breathed in his "Bloom County" comic strip )
>
>
> On Mon, Aug 24, 2020 at 8:58 AM Xu Jun wrote:
>
>> Dear all R experts,
>>
>> I have a question about using cross-validation to assess results estimated
>> from a classification tree model. I annotated
Dear all R experts,
I have a question about using cross-validation to assess results estimated
from a classification tree model. I annotated what each line does in the R
code chunk below. Basically, I split the data, named usedta, into 70% vs.
30%, with the training set having 70% and the test set
latively large
data set, but is there any way to speed up the estimation a bit.
Thanks a lot!
Jun
On Fri, Jun 7, 2013 at 1:04 AM, Rune Haubo wrote:
> On 6 June 2013 00:13, Xu Jun wrote:
>> Dear r-helpers,
>>
>> I have two questions on multilevel binary and ordered regressi
Dear r-helpers,
I have two questions on multilevel binary and ordered regression models,
respectively:
1. Is there any r function (like lmer or glmer) to run multilevel ordered
regression models?
2. I used the glmer function to run a two-level binary logit model. I want
to make sure
that I did i
onsulting with a
> local statistician/R expert who would help you with a major rewrite of
> your code.
>
> But ... note my disclaimer again at the top.
>
> Cheers,
> Bert
>
> On Wed, Aug 1, 2012 at 2:34 PM, Xu Jun wrote:
>> Thanks Michael. No
te
I know there is something wrong with the way that I set up my initial
values, but just couldn't figure out how. Any help would be greatly
appreciated!
Jun
On Tue, Jul 31, 2012 at 10:07 PM, R. Michael Weylandt
wrote:
> On Tue, Jul 31, 2012 at 7:57 PM, Xu Jun wrote:
>> Dear R li
Dear R listers,
I am learning the MLE utility optim() in R to program ordered logit
models just as an exercise. See below I have three independent
variables, x1, x2, and x3. Y is coded as ordinal from 1 to 4. Y is not
yet a factor variable here. The ordered logit model satisfies the
parallel regre
Sorry I forgot the subject line last time
Dear R experts,
I am using the foreign package to read in Stata and SPSS format data
files (same data but I tried different format). I first tried using
read.dta for the Stata format:
##
> library(foreign)
> mystata <- read.dta("
Dear R help listers,
I am trying to replicate results in Gelman and Hill's book (Chapter 3
in regressions and multilevel models). Below I estimated two models
(chp3.1 and chp3.3 in R codes) with the same data and dependent
variable but different independent variables. I have been using Stata
for q
Dear Prof. Fox,
I just picked up R not long ago, and apologize that I am not that
familiar with some basics. I am trying to replicate what I can do with
Stata in R. Thanks for all your help!
On Thu, Oct 20, 2011 at 2:47 PM, John Fox wrote:
> Dear Xu Jun,
>
> On Thu, 20 Oct 2011 14:41
hat makes graphing so much easier.
Jun
On Thu, Oct 20, 2011 at 11:55 AM, John Fox wrote:
> Dear Xu Jun,
>
> I'm not sure whether this is the source of the error, but it may help to
> spell the xlevels argument correctly (it is not
will keep
working on the codes and see if I can figure out. Again, your effects
package, I have to say, is awesome!
Jun
On Thu, Oct 20, 2011 at 1:26 PM, Xu Jun wrote:
> Dear Professor Fox,
>
> Thanks a lot! That is an embarrassing error. After I cleaned up and
> simplified my codes, and
or in evaluating the argument 'x' in selecting a method for
function 'plot': Error in model.frame.default(formula = factor(warm) ~
yr89 + male + white + :
variable lengths differ (found for 'yr89')
On Thu, Oct 20, 2011 at 11:55 AM, John Fox wrote:
> Dear Xu Ju
Dear r-help listers,
I am using effects to produce an effect plot after the proportional
odds logistic regression model. There is no problem for me to estimate
the model, but when it comes to the graphing, I was stuck. see the
codes below:
#
Dear R-Help listers,
I am trying to estimate an proportional odds logistic regression model
(or ordered logistic regression) and then make predictions by
supplying a hypothetical x vector. However, somehow this does not
work. I guess I must have missed something here. I first used the polr
functio
Dear R experts,
I am trying to use John Fox's effects package to conduct some
post-estimation analysis. I think it is a great package for graphing
predictions after GLM type models. However, I am having problems
figuring out how to produce an adjusted mean. For example, using the
following two
Dear R experts,
I am trying to use John Fox's effects package to conduct some
post-estimation analysis. I think it is a great package for graphing
predictions after GLM type models. However, I am having problems figuring
out how to produce an adjusted mean. For example, using the following two
Ben,
Thank you for your help!
Jun
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Dear All R Users,
I am trying to graph a 3-D graph of simulated data for logit models using
the powerful wireframe command, but I got stuck. Here are the codes:
x <- seq(-4, 4, by=0.01)
y <- seq(-4, 4, by=0.01)
p <- 1/(1+exp(-0.12*x + 0.35*y))
mydata <- cbind(x, y, p)
require(lattice)
wirefr
Dear R-help listers,
I am a new convert to R. I am trying to use a r package to conduct latent
class analysis as a triangulation check of my cluster analysis using the
cluster package in R. I have about 30 cases and 6 indicators, some of which
are binary indicators and others are ratio-level varia
Dear R-Listers,
I have several ratio (percentages) and binary indicators, and I'd like to use
these indicators to recover several latent classes based on these percentage
(expenses over GDP) and binary measures. Any type of statistical analysis is
suited for such data and is there a R-package a
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