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
ra$
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
__
R-help@r-project.org mailing list -- To U
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 in y %*% rep(1, nc) :
>> no
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 availa
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 "eyetrackingR"-package to analyse my
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 R
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 'x'
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)
ordip
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 them is
> "safe". B
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 we
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 wa
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", "Var1")]
> mapply(fun
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