On Fri, 17 Jul 2015, Aaron Mackey wrote:
One immediate question is how independent you believe the 46 components to
be, and whether certain components could be reduced or otherwise
coordinately-modeled; a heatmap of your 46x46 pairwise correlations should
be informative. Also consider
On Fri, 17 Jul 2015, John Kane wrote:
I think this is more a technical question for the subject matter experts
than for R-help if I am understanding the question correctly.
John,
I agree completely. Unfortunately, there is no R SIG devoted to CoDA, nor
any other mail list or Web forum that
Hi Rich,
I think this is more a technical question for the subject matter experts than
for R-help if I am understanding the question correctly.
That said, there seems to be an R package called compositional and a
corresponding book http://www.springer.com/us/book/9783642368080 that may help.
The compositional data have been divided into two data frames: 46 response
variables (the compositional components) and 5 explanatory variables. There
are 209 observations of each. With no experience analyzing large
compositions with so many parts your advice on how to plot and report
results
Bart,
I want to thank you for your code. I was having similar problems as Amy,
even after setting my numeric variable as a factor using as.factor(). I
used is.factor() to confirm and received the answer as TRUE from R; however
after running the TukeyHSD() my set factor in my aov() was not read
Hi there.
I am a student / very fresh R user who is currently having some issues
running the procedure for a Hausman test in R.
The head for my data sheet named data looks like this:
BirdSeason Gully Grouping Food Habitat.Type
1 83 111 0.152
Thanks Bill for your quick reply.
I tried your solution and it did work for the simple user defined function
xploly. But when I try with other function, it gave me error again:
OPoly-function(x,degree=1,weight=1){
weight=round(weight,0)# weight need to be integer
I'm stuck on this and i don't know how to install Curl without any problem.
Anyone?
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Might have just solved my own problem team!
I assumed that the issue here was the replicated samples, and so added a
column and gave a number to each replicate.
R seemed to like this and was happy to run the test!
A significant result tells me that the fixed effects model is the most
preferable
Dear Responsible,
Hello!
I am a PhD student at Université Catholique de Louvain, I contact you
because I have some difficulties to install neuralnet package in R for my
research. However, to install this package, we need two packages MASS and
grid. The grid package is not available in my R
Thank you very much. It worked. I think I need to digest this further
later. Thanks again for the help.
On Thu, Jul 16, 2015 at 4:51 PM, William Dunlap wdun...@tibco.com wrote:
This might do what you want:
OPoly - function(x, degree=1, weight=1, coefs=NULL, rangeX=NULL){
weight -
That is an operating-system configuration question, not a question about R.
There are many OSs out there... please find a forum with users of your OS in
which to pursue this question.
---
Jeff Newmiller
See in-line
John Kane
Kingston ON Canada
-Original Message-
From: rshep...@appl-ecosys.com
Sent: Fri, 17 Jul 2015 07:33:43 -0700 (PDT)
To: r-help@r-project.org
Subject: Re: [R] Displaying Compositional Data With 46 Parts
On Fri, 17 Jul 2015, John Kane wrote:
I think this is
Thank you so much for the explanation. That was very helpful! :-)
Thanks!
Brittany
On Jul 16, 2015, at 6:16 PM, John Fox j...@mcmaster.ca wrote:
Dear Brittany,
On Thu, 16 Jul 2015 17:35:38 -0600
Brittany Demmitt demmi...@gmail.com wrote:
Hello,
I have a series of 40 variables
Hi Lida,
I think that your matrix is actually a data frame, so try this:
mat[,sapply(mat,function(x) var(x,na.rm=TRUE)0)]
Jim
On Fri, Jul 17, 2015 at 12:58 AM, Lida Zeighami lid.z...@gmail.com wrote:
I have ma matrix which its elements are NA,0,1,2 ! I got my answer bout
removing the columns
We intend to have a patch release on August 14, nickname will be Fire Safety.
The detailed schedule will be made available via developer.r-project.org as
usual.
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone:
On Fri, 17 Jul 2015, Bert Gunter wrote:
I believe John Aitchison's book and papers are the authoritative basic
resources. Have you read them?
Bert,
Yes, I have.
The problem is that the support of the distributions are (hyper)simplexes,
not Euclidean space, due to the requirement that the
On Fri, 17 Jul 2015, John Kane wrote:
Then it sounds like you are one of the experts. Do whatever you think
appropriate and either set the standard for future research or get enough
feedback to do even better next time. :)
John,
Far from an expert, but becoming more capable with each
On Jul 17, 2015, at 7:21 AM, Issoufou Ouedraogo wrote:
Dear Responsible,
Hello!
I am a PhD student at Université Catholique de Louvain, I contact you
because I have some difficulties to install neuralnet package in R for my
research. However, to install this package, we need two
Hello,I am running a nonlinear GMM using the optimx wrapper. I am trying to
estimate 37 variables however and my code for the optimx is:
nlgmm = optimx(par=b0, fn=obj,method = BFGS, itnmax=1,
control=list(follow.on = TRUE,kkt=FALSE,starttests=TRUE,save.failures=TRUE,
trace=0))
My staring
Dear R-Experts,
I have fitted an ordinal logistic regression with just 1 explanatory variable
for the reproducible example here below.
Everything is working, now I try to calculate the Nagelkerke Pseudo R-squared.
I have found a package BaylorEdPsych providing many Pseudo R-squared, but the
Dear All,
I'm trying to get the MLe for a certain distribution using maxLik ()
function. I wrote the log-likelihood function as follows:
theta -vector(mode = numeric, length = 3)
r- 17
n -30
T-c(7.048,0.743,2.404,1.374,2.233,1.52,23.531,5.182,4.502,1.362,1.15,1.86,1.692,11.659,1.631,2.212,5.451)
Thank you all very much!
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Hi Folks,
I am working with a package installed via GitHub that I would like to
modify. However, I am not sure how I would go about loading a 'local'
version of the package after I have modified it, and whether that process
would including uninstalling the original unmodified package (and,
Hi Rich,
Being in a position of relative ignorance on this topic, I'll offer
some suggestions that may well be useless.
You mention ternary diagrams, which use position to represent
compositional proportions. These will not scale up to 46 values in any
way that I can imagine. If you want to
On Jul 17, 2015, at 4:33 PM, varin sacha wrote:
Dear R-Experts,
I have fitted an ordinal logistic regression with just 1 explanatory variable
for the reproducible example here below.
Everything is working, now I try to calculate the Nagelkerke Pseudo
R-squared.
I have found a
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