Dear Contributors
I would like to ask some help concerning the automatization process of an
analysis, that sounds hard to my knowledge.
I have a list of regression models.
I call them models=c(ra,rb,rc,rd,re,rf,rg,rh)
I can access the output of each of them using for example, for the first
Sample without replacement and then split that sample into train and
test components.
Jim
On Fri, Dec 9, 2016 at 4:55 PM, Partha Sinha wrote:
> How to get two sets of non overlapping data?
> Regards
> Parth
__
Hi Jatin,
It looks as though the third plot has the contour plot beneath the
map, which is opaque.If you just want to show the three "hotspots" on
the map, perhaps you could adjust the colors so that they are
displayed on a transparent field instead of blue and then overlay that
on the map.
Jim
> On Dec 9, 2016, at 2:45 PM, Hu Xinghai wrote:
>
> I come across the following error training Logistic Regression model using
> cv.glmnet:
>
>> Error in drop(y %*% rep(1, nc)) : error in evaluating the argument 'x' in
>> selecting a method for function 'drop': Error
On 12/9/2016 3:20 PM, Julia Edeleva wrote:
Dear R-Community,
I am trying to install the "eyetrackingR"-package to analyse my
eye-tracking data.
When installing the package prompts me to install the Rccp. However, when
trying to do so, I am getting the error message
package ‘Rccp’ is not
Hola,
Claro, si comentas este detalle de las librerías que te habían recomendado,
es más directo...
Hay muchos ejemplos por ahí...:
http://mazamascience.com/WorkingWithData/?p=1277
https://rpubs.com/RobinLovelace/7178
Saludos,
Carlos Ortega
www.qualityexcellence.es
El 10 de diciembre de 2016,
A) it is Rcpp, not Rccp
B) try another CRAN mirror if the automatic dependency handling did not work
--
Sent from my phone. Please excuse my brevity.
On December 9, 2016 3:20:33 PM PST, Julia Edeleva
wrote:
>Dear R-Community,
>
>I am trying to install the
Dear R-Community,
I am trying to install the "eyetrackingR"-package to analyse my
eye-tracking data.
When installing the package prompts me to install the Rccp. However, when
trying to do so, I am getting the error message
package ‘Rccp’ is not available (for R version 3.3.2)
Which version of
Hi, Paul,
Thank you very much! It works this time with "strict=FALSE" option.
Another relevant question:
how did you figure out that boxes in boxplot are called "bwplot.box.polygon".
If I am trying to make a gradient filling for barplot of other plots, how would
I define grobs?
Thanks!!
Ace
I come across the following error training Logistic Regression model using
cv.glmnet:
> Error in drop(y %*% rep(1, nc)) : error in evaluating the argument 'x' in
> selecting a method for function 'drop': Error in y %*% rep(1, nc) :
> non-conformable arguments
> error in evaluating the argument
Hola Javier,
Depende de lo que quieras hacer, pero puede que RSAGA te sea de utilidad.
https://cran.r-project.org/web/packages/RSAGA/vignettes/RSAGA-landslides.pdf
Manuel
El 9 de diciembre de 2016, 18:00, javier valdes
escribió:
> Hola.
> Mira la verdad es que no era
Hola.
Mira la verdad es que no era eso precisamente. Tengo entendido que existe un
paquete "raster" y " gdal" , al parecer, esos son la clave, sin embargo, no he
encontrado muchos ejemplos o experiencia de uso.
A ver si aparece algún colega que trabajó con esos paquetes.
Saludos a todos.
Estimado Carlos Ortega
Tal como me lo sugiere mire el xpath, y encontré dos problemas, el primero es
el más complicado, y es referido al uso de JavaScript, posiblemente habría que
plantear utilizar node.js para no tener problemas, pero no lo experimente.
El segundo problema lo expongo con un
Hola,
¿Es esto?
https://rpubs.com/mharris/GoogleAPI
Saludos,
Carlos Ortega
www.qualityexcellence.es
El 8 de diciembre de 2016, 23:52, javier valdes
escribió:
> ESTIMADOS:
> Estoy en busqueda de de paquetes que esten orientados al procesamiento de
> modelos digitales de
You did not provide a reproducible example, but you should be able to get what
you want as follows:
library(vegan)
data(dune)
data(dune.env)
lbls <-as.integer(dune.env$Management)
grps <- levels(dune.env$Management)
ngrps <- length(grps)
example_dune <- metaMDS(dune, distance="bray", k=2)
That is a helpful, and important, caveat. So, perhaps I should amend my
original question to ask something like is it safe *when* length(r1) ==
length(r2)
-Original Message-
From: David Winsemius [mailto:dwinsem...@comcast.net]
Sent: Friday, December 09, 2016 1:27 PM
To: Doran, Harold
> On Dec 9, 2016, at 9:15 AM, Doran, Harold wrote:
>
> I believe I now see the light vis-à-vis iterators when combined with
> foreach() calls in R. I have now been able to reduce computational workload
> to minutes instead of hours. I want to verify that the way I am using
Dear R users
Does anybody know how it may be possible to plot the labels of a ordihull
function separately (in R vegan)? We have studied the bee community in 5
different habitat types. As you see from the code, we use different point types
(pch) and line types (lty). This is only possible if
I believe I now see the light vis-à-vis iterators when combined with foreach()
calls in R. I have now been able to reduce computational workload to minutes
instead of hours. I want to verify that the way I am using them is "safe". By
safe I mean does the iterator traverse elements in the same
Thanks a lot, David and Bill!
On Thu, Dec 8, 2016 at 8:16 PM, David L Carlson wrote:
> Not my day. Another correction:
>
> makestrings <- function(vec) {
> len <- length(vec)
> idx <- expand.grid(1:len, 1:len)
> idx <- idx[idx$Var2 <= idx$Var1, c("Var2",
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