ty", not having been through CRAN, might simply be broken?
>>
>> Yes the directories you ask about are only present temporarily while the
>> package is checked and moved into your package library, so they are
>> "temporary" even though they are not in your
Hello everyone,
I can install packages from CRAN, but I got some problem for
installing packages from Github or downloaded package files. I got
this problem in recent weeks.
example:
> devtools::install_github('bart6114/artyfarty')
Downloading GitHub repo bart6114/artyfarty@master
from URL
inimal, self-contained, reproducible code.
>>
>>
>>
>> --
>> Gregory (Greg) L. Snow Ph.D.
>> 538...@gmail.com
>>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org m
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal,
Hello, Wilbert,
You did give a good procedure for lme model selection! thanks! I learn some.
I am also working on similar problem recently, maybe you can take a
look at "glmmLasso" package, which allows model selection in
generalized linear mixed effects models using the LASSO shrinkage
method.
Hello, everyone,
I am using LSD.test() from package "agricolae" to do my anova
analysis. I know I can calculate LSD value by its equation
t*sqrt(MSE*2/n), but I am wondering if there is a code or something
that can give the LSD value more directly in R?
Thanks!
Julian
LSD
> [1] 13.4704
>> out$statistics[4]
> LSD
> 13.4704
>> out[[1]][4]
> LSD
> 13.4704
>
> -----
> David L Carlson
> Department of Anthropology
> Texas A University
> College Station, TX 77840-4352
>
>
> -Orig
Hello, everyone,
I have a specific equation, When I draw it out, I found there is a
max. value for it at about x=5. but I couldn't point it out by
optimize(). Does anyone know why? Thanks!
my code is:
d50<-18.04
c<- -1.276
dm<-147
sm <- function (x) {
>
> On Thu, Oct 29, 2015 at 4:19 PM, Jianling Fan <fanjianl...@gmail.com> wrote:
>>
>> Hello, everyone,
>>
>> I have a specific equation, When I draw it out, I found there is a
>> max. value for it at about x=5. but I couldn't point it out by
>> opt
t;- c(Rm1=1.01, Rm2=1.01, Rm3=1.01, Rm4=6.65, Rm5=1.01, d50=20, c=-1)
> Rm6 <- 1
>
> fm.nls <- nls(fo, dproot2, start = st)
>
> AIC(fm.nls)
> summary(fm.nls)
>
>
> On Tue, Sep 22, 2015 at 12:46 PM, Jianling Fan <fanjianl...@gmail.com>
> wrote:
>>
>
will probably mean having a "translation" routine to glue things
> together.
>
> JN
>
>
> On 15-09-21 12:22 PM, Jianling Fan wrote:
>>
>> Thanks Prof. Nash,
>>
>> Sorry for late reply. I am learning and trying to use your nlmrt
>> packag
start = c(Rm1=1.01, Rm2=1.01, Rm3=1.01, Rm4=6.65, Rm5=1.01, Rm6=1,
> d50=20, c=-1))
>
>
> On Tue, Sep 22, 2015 at 7:04 AM, Gabor Grothendieck
> <ggrothendi...@gmail.com> wrote:
>>
>> Just write out the 20 terms.
>>
>> On Mon, Sep 21, 2015 at 10:
60 0.8480684 6
> 2980 0.9268951 6
> 30 100 0.9723207 6
> 31 120 0.9939966 6
> 32 140 0.9992400 6"
>
> dproot <- read.table(text = Lines, header = TRUE)
>
>
>
> On Mon, Sep 21, 2015 at 12:22 PM, Jianling Fan <fanjianl...@gmai
gt; would consider giving this a try.
>
> JN
>
>
> On 15-09-20 01:19 PM, Jianling Fan wrote:
>>
>> no, I am doing a regression with 6 group data with 2 shared parameters
>> and 1 different parameter for each group data. the parameter I want to
>> coerce is
; 2240 0.827 5
> 2360 0.950 5
> 2480 0.995 5
> 25 100 1.000 5
> 2620 0.4345774 6
> 2740 0.6654726 6
> 2860 0.8480684 6
> 2980 0.9268951 6
> 30 100 0.9723207 6
> 31 120 0.9939966 6
> 32 140 0.9
.OO#. .OO#. rocks...1k
> ---
> Sent from my phone. Please excuse my brevity.
>
> On September 18, 2015 9:54:54 PM PDT, Jianling Fan <fanjianl...@gmail.com>
> wrote:
>>Hello, everyone,
>>
>>I am using a nls regression with 6 groups data. I am trying
Hello, everyone,
I am using a nls regression with 6 groups data. I am trying to coerce
a parameter to 1 by using a upper and lower statement. but I always
get an error like below:
Error in ifelse(internalPars < upper, 1, -1) :
(list) object cannot be coerced to type 'double'
does anyone know
Hello all,
I am trying to fit my data to a nls model. I have many sets of data
and each can fit well for the curve. but I want to fit them at once by
sharing 2 of 3 parameters of the model. I know it is a typical global
curve fitting problem, but I don't know how to do it by R?
Does anyone know
or on a statistics site, like
> stats.stackexchange.com.
>
> Cheers,
> Bert
> Bert Gunter
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
>-- Clifford Stoll
>
>
> On Wed, Sep 9, 2015 at 9:04 AM
ergence tolerance: 4.536e-06
>
> (See the references listed in help(nls) to learn more about the statistical
> issues.)
>
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
> On Wed, Sep 9, 2015 at 9:28 AM, Jianling Fan <fanjianl...@gmail.com> wrote:
>>
Hello everyone,
I am doing nonlinear regression using a same sigmoidal model for
different treatments. for each treatment, I got a set of estimated
parameters (a1, b1, c1 for treatment 1; a2, b2, c2 for treatment 2;
a3, b3, c3 for treatment 3). And I want to compare these parameters
for different
Hello,
I am trying to do a nls regression with R. but I always get a error
as Error in numericDeriv(form[[3L]], names(ind), env) : Missing
value or an infinity produced when evaluating the model. I googled
it and found someone said it is because of the improper start value. I
tried many times
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