I have the same setup and do this:
- rsync all data and R scripts
- run analysis on remote server via ssh
- rsync plots and results back
Martin
On Jan 1, 2013, at 12:39, "Frans Marcelissen"
wrote:
> Hi Martin,
> In addition to what Duncan writes: I think winscp does exactly what you
> wan
Hi Martin,
In addition to what Duncan writes: I think winscp does exactly what you
want. You can copy objects from/to linux, but also edit files from linux on
the winduts machine without explicitly copying (of course you do copy the
file, but is done automatically).
Bye
Frans
---
d
On 13-01-01 2:48 PM, Daniel Marcelino wrote:
Dear users,
I'm struggling with encoding issues for documenting some functions. The Rd
format is incradible simple, however, because I'm dealing with diacritic
strings, I seted up encoding in several Rd files as latin1. Under R, using the
checks ava
On 01/01/2013 20:39, Duncan Murdoch wrote:
On 13-01-01 2:42 PM, Martin Batholdy wrote:
Hi,
I have a laptop (Mac OS) and a remote PC (Ubuntu) and would like to do
the heavy work on the remote machine but control it via the laptop.
I managed to install ssh server and can now remotely connect to m
Dear users,
I'm struggling with encoding issues for documenting some functions. The Rd
format is incradible simple, however, because I'm dealing with diacritic
strings, I seted up encoding in several Rd files as latin1. Under R, using the
checks available in the package 'tools it performs prett
Dear list!
I found a 7 year old message with a question very similar to mine:
"I am using 'sgeostat' package by Albrecht Gebhardt and I am trying to
put a
correlation coefficient of some kind on the lagplots. Is there a possiblity
to do so?"
and i did not find an answer to this question. It woul
On 01/01/2013 20:43, Prof Brian Ripley wrote:
On 01/01/2013 19:50, Michael Friendly wrote:
Given a data set with a group factor, I want to translate the numeric
variables to their
centroid, by subtracting out the group means (adding back the grand
means).
The following gives what I want, but th
On 01/01/2013 19:50, Michael Friendly wrote:
Given a data set with a group factor, I want to translate the numeric
variables to their
centroid, by subtracting out the group means (adding back the grand means).
The following gives what I want, but there must be an easier way using
sweep or
apply
On 13-01-01 2:42 PM, Martin Batholdy wrote:
Hi,
I have a laptop (Mac OS) and a remote PC (Ubuntu) and would like to do the
heavy work on the remote machine but control it via the laptop.
I managed to install ssh server and can now remotely connect to my PC via ssh
and can start an R session in
Given a data set with a group factor, I want to translate the numeric
variables to their
centroid, by subtracting out the group means (adding back the grand means).
The following gives what I want, but there must be an easier way using
sweep or
apply or some such.
iris2 <- iris[,c(1,2,5)]
mea
Hi,
I have a laptop (Mac OS) and a remote PC (Ubuntu) and would like to do the
heavy work on the remote machine but control it via the laptop.
I managed to install ssh server and can now remotely connect to my PC via ssh
and can start an R session in the terminal.
However, I still don't quite u
On Jan 1, 2013, at 9:02 AM, jim holtman wrote:
# can use sprintf to convert to a number with 2 digit fractions
Useful procedure to prevent loss of trailing ".00"'s, ... but just to
clarify, sprintf never returns a numeric class object, but rather
returns a character representation of one.
This is no secret to those who read the NEWS file of the development version
regularly, as the following has been in place since December 12th:
\section{\Rlogo CHANGES IN R-devel}{
\subsection{SIGNIFICANT USER-VISIBLE CHANGES}{
\itemize{
\item It is intended that this version will be
> # can use sprintf to convert to a number with 2 digit fractions
> x <- c(10.30, 11, 11.01, 11.09, 11.15, 11.59, 12, 13)
> as.POSIXct(sprintf("%.2f", x), format = "%H.%M")
[1] "2013-01-01 10:30:00 EST" "2013-01-01 11:00:00 EST" "2013-01-01
11:01:00 EST"
[4] "2013-01-01 11:09:00 EST" "2013-01-01 11
HI,
Just by taking David's solution:
y <- as.POSIXct(paste( floor(x), round(60*(x-floor(x))) ), format="%H %M")
y1<-data.frame(y,AM_PM=format(y,format="%p"))
y1[3,1]-y1[4,1]
#Time difference of -40 mins
y1[5,1]-y1[3,1]
#Time difference of -13 mins
head(y1,2)
# y AM_PM
#1 20
On Dec 31, 2012, at 9:40 PM, Christofer Bogaso wrote:
On 01 January 2013 03:00:18, David Winsemius wrote:
On Dec 31, 2012, at 11:57 AM, David Winsemius wrote:
On Dec 31, 2012, at 11:54 AM, Christofer Bogaso wrote:
On 01 January 2013 01:29:53, David Winsemius wrote:
On Dec 31, 2012, at
Hello,
Just one more thing, you don't need an explicit test to TRUE, the two
lines below are equivalent.
d[ , vars.to.order==TRUE ]
d[ , vars.to.order ]
Rui Barradas
Em 01-01-2013 12:44, Debs Majumdar escreveu:
Thanks to both of you for your help. I think I have got what I wanted.
vars.to.o
Thanks to both of you for your help. I think I have got what I wanted.
vars.to.order <- sapply(d, FUN = function(x){length(unique(x))<=10}) ## check
no. of unique values for each variable
#d[ , vars.to.order ] <- lapply( d[ , vars.to.order==TRUE ], factor) ## I
didn't need this line. Is this ste
Yes. That's true. All the variables are read in as numeric/integers.What I am
looking for at this moment is if any variable has less than equals to 10 unique
values (categories) then it is a factor. Can that be incorporated?
Thanks,
Debs
From: Rui Barradas
Hello,
The format AM/PM should be for display purposes only, when you use
format() you get a variable of class "character", not of classes
"POSIXct" "POSIXt" . Produce a variable y with as.POSIXct (without
AM/PM) for arithmetics and another formated for display.
Hope this helps,
Rui Barrada
Hello,
You must have a way of telling whether the variables are categorical. If
they are factors, just not ordered factors, instead of grep the
following might work.
vars.to.order <- sapply(yourdata, is.factor)
And the rest should be the same.
Hope this helps,
Rui Barradas
Em 01-01-2013 10:1
Sorry for not being clear. I forgot to mention that the variable labels don't
really say which are categorical/continuous.
They are just I1, I2,, I459. Out of these 459 variables, most are
continuous and others are categorical.
So, the grep command won't work here.
Thanks,
Debs
__
At Tue, 1 Jan 2013 02:00:14 +,
Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
> Although David's solution (putting the right parenthesis, which I had missed)
> has resolved the issue, I would like to try yours as well.
>
> Could you please clarify the six elements: c(-1e-8, 0, 0, 0, 0, 1e8)?
It's a v
# create an example data frame
yourdata <-
data.frame(
cat1 = c( 1 , 0 , 1 ) ,
cont1 = c( 0 , 1 , 0 ) ,
cat2 = c( 0 , 0 , 1 )
)
# if this doesn't work for you,
# please ?dput some example data in the future :)
# figure out which variables contain the word 'cat'
vars
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