Hi Andrea,
Assuming that your model is something like:
lm(y~x,data=mydata)
See what:
cor(mydata$y,mydata$x)
returns. If it is very very close to 1 or -1, there lies your problem.
If one or more of your predictor variables is an almost perfect
predictor of the response, you don't have much room
I ran traceroutes & BGP traces from Marseille & Paris routers to that
CRAN IPv4 address (it's 10hrs after your mail, tho) and there's no
network errors. You can use any CRAN mirror, though. You aren't
limited to that one.
On Mon, Oct 24, 2016 at 9:49 AM, Etienne Borocco
On Oct 24, 2016 6:05 PM, "Joe Ceradini" wrote:
>
> Excellent - thanks David!
> Regex syntax never fails to scare the crap out of me :)
>
> David absolutely solved my problem (in record time, no less), so it
> can be put to rest. However, if anyone knows how to accomplish
Excellent - thanks David!
Regex syntax never fails to scare the crap out of me :)
David absolutely solved my problem (in record time, no less), so it
can be put to rest. However, if anyone knows how to accomplish the
same thing through non base packages, like stringr or stringi, I'd be
interested
R Helpers,
I would like to extract the entire word beginning with "BT" (or "BT-")
and not any thing else in the string. Or, I would like to extract from
BT up until the next space.
test <- data.frame(x = c("abc", "Sample BT-1501-2E stuff", "Bt-1599-3E stuff"))
test
So, from test$x I would like
Wild guess: Santiago is putting a and b in his formula when they are the
coefficients he wants to extract?
If Mr S wants better answers he needs to read about reproducibility and avoid
HTML format email.
--
Sent from my phone. Please excuse my brevity.
On October 24, 2016 2:58:42 PM CDT,
Bob and Max, I thank you. It helped me much.
2016-10-21 3:47 GMT+02:00 Bob Rudis :
> `stringi::stri_count()`
>
> I know that the `stringr` pkg saves some typing (it wraps the
> `stringi` pkg), but you should really just use the `stringi` package.
> It has many more very useful
> summary(nlme(Btronc~a+b*dbh**2*haut, data=cbind(dat,g="a"), fixed=a+b_1,
> start=start,
>
> groups=~g, weights=varPower(form=~dbh)))
Shouldn't 'fixed' be a formula? Perhaps a+b~1?
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Mon, Oct 24, 2016 at 9:03 AM, Santiago Bueno
Without access to the data, or commented, minimal, self-contained,
reproducible code, it's pretty hard to speculate. I suggest that you
reframe your question so that we can see what you can see.
Andrew
On 25 October 2016 at 03:03, Santiago Bueno wrote:
> Dear people:
>
>
> I
Dear people:
I am getting the following error when trying to run the piece of code
below. Any insights??
Error in nlme.formula(Btronc ~ a + b * dbh^2 * haut, data = cbind(dat, :
object 'a' not found
library(nlme)
start <- coef(lm(Btronc~I(dbh**2*haut),data=dat))
names(start) <-
I've spent quite a bit of time trying to convince people on various
lists that the solution to these kinds of
problems lies in the stable parameterization of the model. I write the
solutions in AD Model Builder because it
is easy. But R people are generally stuck in R (or mired) so the
I noticed the 2014 discussion of bootstrapping Krippendorff's alpha referring
to Andrew Hayes website.
Whoever is interested in this algorithm:
One of Andrew Hayes' student discovered an oddity in the distribution obtained
by this algorithm when data are very sparse. This has been corrected by
> Le 24 oct. 2016 à 12:36, Martin Maechler a écrit
> :
>
>> Vincent Goulet
>>on Mon, 24 Oct 2016 10:35:15 -0400 writes:
>
[snipped announcement]
>> To Martin and ESS core:
>
>> I realize I should have tested this in beta
Probably not. This is a statistics issue, not an R issue. But you need to
show us your code to make sure it's not a syntax error. Assuming it's not,
you'll need to consult a local statistical expert for help.
Bert
[[alternative HTML version deleted]]
Hi guys,
When I try to do a linear regression into the console appears this warning
message:
>* attempting model selection on an essentially perfect fit is nonsense*
Some one could tell me what does it mean and maybe a way to solve it.
Thanks in advance,
Andrea Marcela
[[alternative
Indira,
I think you are wanting to define a new column (target) with "all_true",
"all_false", or "other" based on columns H1, H2, H3, and H8 all being equal to
1, all being equal to 0, and other wise respectively. If so, then you do not
need apply() or ifelse().
I believe this does what you
You really need to provide more information. The error message without the
command that generated it and the structure of the data sets you are using is a
bare minimum. A reproducible example is often necessary to debug code such as
this.
You can simplify your code substantially with something
Got past the syntax error,now I got new error below
Error in match.fun(FUN) : c("'ifelse((kmeans.data$HBV51OpenDmd &
kmeans.data$HBV52OpenDmd & ' is not a function, character or symbol", "'
kmeans.data$HBV53OpenDmd & kmeans.data$HBV8OpenDmd) == 1, ' is not a function,
character or symbol", "'
Dear all
when I run this cammand to install DESeq it show somw error:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R;)
biocLite("DESeq")
it shows this error:
> source("https://bioconductor.org/biocLite.R;)
Bioconductor version 3.4 (BiocInstaller
Hi,
I would like to process each row of data frame having 8 columns of which I am
interested in 4 columns for my analysis.I tried using apply function but I get
syntax error,although I checked for missing syntaxes ,couldn't figure out the
mistake.Can you also suggest me more efficient way to
I still have the same problem today. Has the issue been fixed in Vienna?
Le 19/10/2016 à 22:46, Duncan Murdoch a écrit :
> On 19/10/2016 11:36 AM, Etienne Borocco wrote:
>> Hello,
>>
>> I folowed this tutorial here:
>> http://singmann.org/installing-r-devel-on-linux/
>>
>> I tried to install
Hi,
Yes, it is available in "latticeExtra" package in function
"panel.smoother()".
Thanks,
Carlos Ortega
www.qualityexcellence.es
2016-10-24 15:13 GMT+02:00 Sébastien Bihorel :
> Hi,
>
> The ggplot2 includes the very convenient stat_summary function to summarize
> y variable
Hi,
The ggplot2 includes the very convenient stat_summary function to summarize
y variable data and plot this summary statistic in a y vs x graph. I need
to implement similar functionality in a lattice-based framework.
Googling this topic using keywords like lattice, equivalent, stat_summary,
did
Hello everybody,
Using ggplot2 package, is there a way to force to stop the y-axis line
at a specified point ? (not using ylim because I want that some text
written using annotate() at the top of the graph is still shown).
Bellow is a simple example to show what I would like do:
Thanks a
On 10/23/2016 10:13 PM, Yogesh Gupta wrote:
Dear All,
I am getting error in DESeq installation in R.
package ‘DESeq’ is not available (for R version 3.3.1)
source("http://www.Bioconductor.org/biocLite.R;)
Bioconductor version 3.4 (BiocInstaller 1.24.0), ?biocLite for help
Hola,
Otra alternativa que puedes utilizar es filtrar los datos que estén fuera
del IQR...
Saludos,
Carlos Ortega
www.qualityexcellence.es
El 24 de octubre de 2016, 11:03, Jesús Para Fernández <
j.para.fernan...@hotmail.com> escribió:
> Buenas Olivier
>
>
> Te lo agradezco, pero no quiero
Igual, no hace falta quitarlos:
require(MASS)
fit=rlm(y~x) # regresión robusta
abline(fit)
Un saludo. Olivier
- Mensaje original -
De: "Jesús Para Fernández"
Para: "Isidro Hidalgo Arellano" , r-help-es@r-project.org
Enviados: Lunes, 24 de
Hay un paquete que lo hace, pero no lo he utilizado, así que no sé cómo se
porta: "outliers"...
Un saludo
Isidro Hidalgo Arellano
Observatorio del Mercado de Trabajo
Consejería de Economía, Empresas y Empleo
http://www.castillalamancha.es/
-Mensaje original-
De: R-help-es
Bill et. al.
If I understand correctly, your example does not answer my query. I have
already acknowledged that the data argument is required for nse formula
evaluation. The question is: can with() also be used to evaluate other
arguments, some of which also might be in the formula's
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