Hi Rolf,
No it is not.
I don't know to which question did you want to respond ?
I desribed everything in my first email and attached links from SO with
pictures included, which are quite understandable.
Cheers,
Jacek
śr., 28 lut 2024 o 19:42 Jacek Kownacki napisał(a):
> Hi Rolf,
> No it is no
Hi Rolf,
No it is not.
I don't know to which question did you want to respond ?
I desribed everything in my first email and attached links from SO with
pictures included, which are quite understandable.
Cheers,
Jacek
wt., 27 lut 2024 o 02:29 Rolf Turner napisał(a):
>
> I have no real idea what
I have no real idea what you are trying to do, but if a table is
what you want, you can probably get it using the table() function.
Or, more likely, the xtabs() function.
Using your example from an earlier post (adjusted to make it
comprehensible to the human mind):
set.seed(1000)
time <-
Hi,
I do not want to make a plot, I try to make an output table in R, (in GUI
like Stata this is trivially easy task)
with regard to SO OP question. As I mentioned, in paper I would not do
this, but out of curiosity I use R this time trying to create it.
If in R this is trivial task as well, could
It is trivial in R to add whatever decorations to a plot that you would
like, but that requires that you go beyond point and click production of
graphics and write actual code. If you are unwilling or unable to do this,
you are stuck with whatever various packaged graphics functionality
provides.So
Hi All,
I stumbled upon some topics regarding interactions in anova and regression
and packages for tabulating and visualizations the results of them.
Here we are:
https://stackoverflow.com/questions/77933272/how-to-add-a-reference-level-for-interaction-in-gtsummary-and-sjplot/77935742#77935742
,
h
David,
I think that the colorsex approach is the right one, and colorsex should
initially be included as a main effect, because the smooths are centred
for factor by variables (see e.g. ?gam.models). Whether you then choose
to drop this main effect, as it appears to be non-significant, is a
m
Hi all,
I wonder if it's possible to include a double interaction in a GAM formula.
Example:
If I do this:
mod=gam(energy~s(size, *by=color, by=sex*, k=5) + temperature, ...)
I get the interaction betwen size*color and size*sex.
But I need size*color*sex, being size a smoother.
I've created a n
Gabor,
Looking at your 2nd response, your suggestion is similar to that of
Derek Ogle. It was my misinterpretation from your first response that
elicited my original rebuttal. I apologize.
Thanks,
Tony
On 2/9/2011 2:47 PM, Gabor Grothendieck wrote:
On Wed, Feb 9, 2011 at 1:02 PM, Anthony La
On Wed, Feb 9, 2011 at 1:02 PM, Anthony Lawrence Nguy-Robertson
wrote:
> Thank you R-forum for you generous help.
>
> Gabor Grothendieck, I am not sure if anova in the form that you suggested is
> the most appropriate (This is probably more of a statistics related, rather
> than R related at this
help@r-project.org
Subject: Re: [R] Interactions in a nls model
On Tue, Feb 8, 2011 at 4:12 PM, Anthony Lawrence Nguy-Robertson
wrote:
I am interested in testing two similar nls models to determine if the
lines
are statistically different when fitted with two different data
On Tue, Feb 8, 2011 at 11:43 PM, Gabor Grothendieck
wrote:
> On Tue, Feb 8, 2011 at 4:12 PM, Anthony Lawrence Nguy-Robertson
> wrote:
>> I am interested in testing two similar nls models to determine if the lines
>> are statistically different when fitted with two different data sets; one
>> corn
On Tue, Feb 8, 2011 at 4:12 PM, Anthony Lawrence Nguy-Robertson
wrote:
> I am interested in testing two similar nls models to determine if the lines
> are statistically different when fitted with two different data sets; one
> corn, another soybean. I know I can do this in linear models by testing
Bert,
Thanks for the input. I was hoping for an easy answer, but as life is,
there usually isn't one. I will find a statistician here on campus that
might be able to help. Just so you know, the data is remote sensing data
that is an average of 9 measurements on one day. However, the data set
Nonlinear models are an entirely different kettle of fish then linear
models. You need to specify exactly how the different crops affect the
parameters in your growth model. I suggest you consult a local
statistician for help (this is not an R question).
Incidentally, depending on the nature of yo
I am interested in testing two similar nls models to determine if the
lines are statistically different when fitted with two different data
sets; one corn, another soybean. I know I can do this in linear models
by testing for interactions. See Introductory Statistics with R by
Dallgaard p212-21
Thank you so much for your answer, it has been really useful. I have already
included the interactions in the models and I have obtained better results.
Best regards,
Lucía Cañás
Lucía Cañás Ferreiro
Instituto Español de Oceanografía
Centro Oceanográfico de A Coruña
Paseo Marítimo Alcalde Fr
> My main doubts are:
> 1.Is the use of "by" and "te" right with the negative binomial
> distribution and with the binomial distribution?
-- yes! These things specify the `linear predictor' of the model --- the
correctness of the linear predictor does not usually depend on the
response di
Hello R users,
I am working with the GAM to inspect the effect of some factors (year, area)
and continuous variables (length, depth, latitude and longitude) on the
intensity and prevalence of the common parasite Anisakis. I would like
introduce interaction in my models, both "continuous variabl
Hello all,
I apply Repeated measures ANOVA for analyzing ERPs data. To do this I
use lme() function and glht() for the post hoc analysis.
I followed the very useful suggestions found in this help list but I
have a problem. I do not know how to test the interaction between
different levels of
On Wed, 2010-07-21 at 16:17 +0100, Karen Moore wrote:
> Hi,
>
> I've an issue adding an interaction to a GAMM:
>
> My model was of form:
>
> gamm1 <- gamm(TOTSR ~ fROT + s(PH) + s(LOI) + s(ASP) + s(SQRT_ELEV) + CANCOV
> + s(SQRT_TOTCWD) + s(WELLF) + s(WELLN) + s(OLDWDLD) + s(DISTWOOD) +
> s(Annp
On Jul 21, 2010, at 11:17 AM, Karen Moore wrote:
Hi,
I've an issue adding an interaction to a GAMM:
My model was of form:
# Package? Probably:
require(mgcv)
gamm1 <- gamm(TOTSR ~ fROT + s(PH) + s(LOI) + s(ASP) + s(SQRT_ELEV)
+ CANCOV
+ s(SQRT_TOTCWD) + s(WELLF) + s(WELLN) + s(OLDWDLD)
Hi Karen,
I think you should decide what you mean for "interaction". s(x:y) is
meaningless
If you want to fit a surface you should use s(x,y).
If you want to fit a varying coefficient model (interaction between a
linear and a smooth term) you should use the argument by in s().
The help file
Hi,
I've an issue adding an interaction to a GAMM:
My model was of form:
gamm1 <- gamm(TOTSR ~ fROT + s(PH) + s(LOI) + s(ASP) + s(SQRT_ELEV) + CANCOV
+ s(SQRT_TOTCWD) + s(WELLF) + s(WELLN) + s(OLDWDLD) + s(DISTWOOD) +
s(Annprec) + s(OLDWDLD:DISTWOOD) + (1|fSITE), family = poisson, data =
BIOFOR
Hi R community,
I am trying to fit a PLS model with response Y and predictor X, where X
consists of at least 30 columns (say x1, x2, ..., x30). Aside from studying
the relationship of Y and x1, ..., x30, I am also interested in studying the
effect of quadratic terms (x1^2, ..., x30^2) and two-
Hello together,
In the package 'Matching' there ist a possibility to determine balance
statistics after Matching with the function 'MatchBalance'.
In this function there has a formula 'formul' to be given.
I'm wondering how I can implement all two-way interactions, without
specifying them explicit
That has not yet been implemented in the R version of the package.
Best,
Andy
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Chrysanthi A.
> Sent: Thursday, October 22, 2009 6:40 AM
> To: r-help@r-project.or
Hi all,
Is there a possibility of getting the "interactions" feature values for the
variables of a dataset by applying the Random Forest algorithm?
Thanks,
Chrysanthi
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R-help@r-project.org mailing list
h
The short answer is that you're trying to make a categorical interaction
out of
continuous variables, so that the resulting factors i2 and i3 have 1050 and
7200
levels respectively. (Note to people trying to reproduce this example:
you'll
need library(emdbook); library(bbmle); data(Lily_sum) .
Use "Rprof" on a small sample and determine where the time is being
spent. Do some periodic gc() or memory.size() to see how fast you are
using up memory. Do an object.size on all your objects to see see how
be they are. This would help in the determination of the problem.
On Mon, Aug 31, 2009
Hello,
After putting together interaction code that worked for a single pair of
interactions, when I try to evaluate two pairs of interactions(
flowers*gopher, flowers*rockiness) my computer runs out of memory, and the
larger desktop I use just doesn't go anywhere after about 20 minutes.
Is it re
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