On 27/10/14 06:05, Camilo Mora wrote:
> Hi everyone,
>
> I have a two column (x,y) database with say 20 million rows. I want to check
> the points that are inside of a hull created with the package alphahull. The
> function that does this is call �inahull�, and it runs well when I use it for
>
Hi everyone,
I have a two column (x,y) database with say 20 million rows. I want to check
the points that are inside of a hull created with the package alphahull. The
function that does this is call �inahull�, and it runs well when I use it for
one point at a time. But when I try to optimize th
Thank You!!
On Sun, Oct 26, 2014 at 10:01 PM, Dennis Murphy wrote:
> I'd suggest using the knitr code chunk options in Rmarkdown to control
> the plot size in the document; e.g.,
>
> ```{r myplot, fig.height=5, fig.width=6}
>
> ```
> If you use RStudio, it will provide code completion for you a
Your code uses the default graphics output device (most likely the windows()
device, guessing from your use of MSWord). The png() device might produce more
consistent results. Since you are using RMarkdown, you may be using knitr which
has chunk options that can be used to control the device use
Hello,
I'm doing some box plots in Rmarkdown to MS Word file. When they come into
the word file they are not quite wide enough for labels for the different
boxes. Is there a way for me to set the size the box plot would be so I
can make it wider?
Or reduce the font size so they can all fit on t
CRAN (and crantastic) updates this week
New packages
* BayesMixSurv (0.9)
Maintainer: Alireza S. Mahani
Author(s): Alireza S. Mahani, Mansour T.A. Sharabiani
License: GPL (>= 2)
http://crantastic.org/packages/BayesMixSurv
Bayesian Mixture Survival Models using Additive Mix
Have you investigated your data using the str function?
str(data)
Also, read the Posting Guide and learn how to use your email software to post
using plain text so we will see what you see.
---
Jeff Newmiller
> On 26 Oct 2014, at 21:51 , Don McKenzie wrote:
>
>>
>> On Oct 26, 2014, at 1:45 PM, Evan Kransdorf wrote:
>>
>> Hello,
>>
>> I'm trying to use Lowess smooters to plot some data for regression
>> analyses. When I do with certain variables, I get the following error:
>>
>>> plot(lowess(dat
Hello,
I'm trying to use Lowess smooters to plot some data for regression
analyses. When I do with certain variables, I get the following error:
> plot(lowess(data$V1,data$V2))
Error in lowess(data$V1, data$V2) : 'delta' must be finite and > 0
Does anyone know where the problem is? I suspect t
> On Oct 26, 2014, at 1:45 PM, Evan Kransdorf wrote:
>
> Hello,
>
> I'm trying to use Lowess smooters to plot some data for regression
> analyses. When I do with certain variables, I get the following error:
>
>> plot(lowess(data$V1,data$V2))
> Error in lowess(data$V1, data$V2) : 'delta' must
Hello,
I'm trying to use Lowess smooters to plot some data for regression
analyses. When I do with certain variables, I get the following error:
> plot(lowess(data$V1,data$V2))
Error in lowess(data$V1, data$V2) : 'delta' must be finite and > 0
Does anyone know where the problem is? I suspect t
Note that you do not have to create the vector of 1's (TRUE) and 0's (FALSE) if
you know the index values:
> j <- c(2, 4, 6)
> a[j, j]
[,1] [,2] [,3]
[1,]8 20 32
[2,] 10 22 34
[3,] 12 24 36
==
David L. Carlson
Department of Anthropology
Texas
Use logical vectors and the "[" operator: x[condition] can be read as
'x such that condition [is true]'. E.g.,
> a<-matrix(1:16, 4,4,byrow=T)
> j <- c(TRUE, FALSE, TRUE, FALSE)
> a[j,,drop=FALSE]
[,1] [,2] [,3] [,4]
[1,]1234
[2,]9 10 11 12
> a[,
Rui
Thanks. This works great. Below, I get the 2nd, 4th, and 6th rows/columns:
> (a<-matrix(1:36,6,6))
[,1] [,2] [,3] [,4] [,5] [,6]
[1,]17 13 19 25 31
[2,]28 14 20 26 32
[3,]39 15 21 27 33
[4,]4 10 16 22 28 34
[5,]5 11 1
Sorry, that should be
t(a[as.logical(j), as.logical(j)])
Rui Barradas
Em 26-10-2014 18:45, Rui Barradas escreveu:
Hello,
Try the following.
a[as.logical(j), as.logical(j)]
# or
b <- a[as.logical(j), ]
t(b)[as.logical(j), ]
Hope this helps,
Rui Barradas
Em 26-10-2014 18:35, Steven Yen es
Hello,
Try the following.
a[as.logical(j), as.logical(j)]
# or
b <- a[as.logical(j), ]
t(b)[as.logical(j), ]
Hope this helps,
Rui Barradas
Em 26-10-2014 18:35, Steven Yen escreveu:
Dear
I am interested in selecting rows and columns of a matrix with a
criterion defined by a binary indicato
Dear
I am interested in selecting rows and columns of a matrix with a
criterion defined by a binary indicator vector. Let matrix a be
> a<-matrix(1:16, 4,4,byrow=T)
> a
[,1] [,2] [,3] [,4]
[1,]1234
[2,]5678
[3,]9 10 11 12
[4,] 13 14 15 16
Thank for your help!! That took care of the problem!
Thank you again
David "Kentucky Geologist trying to learn R" Doyle
On Sun, Oct 26, 2014 at 12:37 AM, Rolf Turner
wrote:
> On 26/10/14 16:40, David Doyle wrote:
>
>> Hello,
>>
>> I'm trying to run kruskal test on some data but the p values
On 25/10/2014, 1:25 PM, Jingsi Zhang wrote:
> Hi
>
> How does one know the availability of CRAN packages by the name of
> publications? I know there is a long list of available packages by date of
> publications, but it's so inconvenient to find the one I need. It happened
> at least twice when I
On 25/10/2014, 5:25 AM, Wush Wu wrote:
> Dear all,
>
> Sorry that I am not sure that whether I should ask the question here or
> R-devel. Is there any existed packages which implements or is implementing
> feature hashing or similar function?
>
> For who does not know "feature hashing", please le
Hi,
I notice that the Matrix::sparse.model.matrix produces inconsistent matrix
when the contrasts is a sparse matrix.
Here is a minimal example:
```r
library(Matrix)
class(CO2[[1]]) <- class(CO2[[2]]) <- "factor"
get_contr <- function(is_sparse) {
contr <- list()
contr[["Plant"]] <- contrast
Thanks Martin.
Duncan has replied on
http://stackoverflow.com/questions/26556629/rcurl-memory-leak-in-geturl-method
I will test it in the application I have and update the thread here as well.
-Original Message-
From: "Martin Maechler"
Sent: 25/10/2014 8:40 PM
To: "dotnet sql"
Cc
Hi
How does one know the availability of CRAN packages by the name of
publications? I know there is a long list of available packages by date of
publications, but it's so inconvenient to find the one I need. It happened
at least twice when I failed to repeat other's simulation results, and sent
au
Dear all,
Sorry that I am not sure that whether I should ask the question here or
R-devel. Is there any existed packages which implements or is implementing
feature hashing or similar function?
For who does not know "feature hashing", please let me give a brief
explanation here.
Feature hashing
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