Displaying 20 results from an estimated 6000 matches similar to: "using apply to loop [SEC=UNCLASSIFIED]"
2007 Sep 20
1
Identify and plotting symbols. [SEC=UNCLASSIFIED]
Rolf turner wrote:
>I have been trying, unsuccessfully, to use identify() to (simply)
>return a list of the indices of points clicked on and overplot (with
>say a solid dot) each clicked-on point so that I can see where I've
>been. I.e. I don't want to see the indices printed on the screen; I
just want the points I've already selected to be highlighted.
>
>I
2007 Nov 30
0
vector sprintf argument [SEC=UNCLASSIFIED]
Hi Tom,
Try this:
> G <- "Number: %s"
> sprintf(G, toString(A))
[1] "Number: 3, 4, 5"
Cheers Joe
Joe Crombie
Biosecurity and Information Sciences
Bureau of Rural Science
Canberra Australia
p: +61 2 6272 5906
e: joe.crombie at brs.gov.au
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of
2007 Dec 21
1
using apply to loop
Hi,
I am running the following loop, but it takes hours to run as n is big. Is there any way "apply" can be used? Thanks.
### Start
nclass <- dim(data)[[2]] - 1
z <- matrix(0, ncol = nclass, nrow = nclass)
n <- dim(data)[[1]]
x <- c(1:nclass)
# loop starts
for(loop in 1:n) {
r <- data[loop, 1:nclass]
classified <- x[r == max(r)]
2007 Oct 07
0
Break [SEC=UNCLASSIFIED]
Hi,
You can exit out of the 'identify()' routine by either:
right-click > 'stop'
Or
click on 'stop > stop locator' in the top-left of the plot window.
The script should continue with line1, line2 etc.
Cheers Joe
Joe Crombie
Information and Risk Sciences
Bureau of Rural Science
Canberra Australia
p: +61 2 6272 5906
e: joe.crombie at brs.gov.au
2007 Sep 21
0
Time series graphs, question about using zoo [SEC=UNCLASSIFIED]
Hi Fang,
An easy way of doing this is by:
> matplot(one, pch = LETTERS[1:4], type = 'b')
Cheers Joe
Joe Crombie
Information and Risk Sciences
Bureau of Rural Science
Canberra Australia
p: +61 2 6272 5906
e: joe.crombie at brs.gov.au
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of fang liu
Sent: Friday,
2007 Jan 22
0
[UNCLASSIFIED] predict.survreg() with frailty term and newdata
Dear All,
I am attempting to make predictions based on a survreg() model with some censoring and a frailty term, as below: predict works fine on the original data, but not if I specify newdata.
# a model with groups as fixed effect
model1 <- survreg(Surv(y,cens)~ x1 + x2 + groups,
dist = "gaussian")
# and with groups as a random effect
fr <- frailty(groups,
2007 Oct 16
0
partitioning data [SEC=UNCLASSIFIED]
Hi Stephen,
Check the help for predict.glm(). The argument for passing new data is
actually 'newdata', as in:
> pred = predict(glm.model, newdata=form[150001:200000,-1],
> type="response")
Cheers Joe
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of stephenc at ics.mq.edu.au
Sent: Tuesday, 16
2007 Oct 24
0
random walk w/ reflecting boundary: avoid control construct? [SEC=UNCLASSIFIED]
Hi Johannes,
I came up with the following (assuming that if step[i] is independent of step[i-1] then it is also independent of -step[i-1]):
Cheers Joe
> # your (unbounded) random walk
> k <- cumsum(c(0,sample(c(-1,1), 1000, rep = T)))
>
> #shift it to positive, to allow following calculations k <- k - min(k)
> # set your bound (remember min(k) is now zero) wid <- 10
2010 Aug 29
1
PAM authentication fails
Hi,
I'm fighting all weekend on with auth and pam to authenticate local
system users. testuser is such local user and is in passwd and shadow. I
want to have local system users (testuser is one of them) and virtual
users. The virtual part works fine but I cannot get the local user to
connect.
Still pam fails finding the user. The suggested password mismatch at the
end is, in my eyes,
2017 May 18
2
Bug: floating point bug in nclass.FD can cause hist() to crash
Hello everybody,
This is a bug involving functions in core R package:
graphics::hist.default, grDevices::nclass.FD, and
base::pretty.default. It is not yet on Bugzilla. I cannot submit it
myself, as I do not have an account. Could somebody else add it for
me, perhaps? That would be much appreciated.
Kind regards,
Sietse
Sietse Brouwer
Summary
-------
Floating point errors can cause a data
2016 Nov 16
2
Multiple location DC's with same hostnames
Hi,
Not sure exactly how I would word the subject line so appologies in advanced.
We are trying to accomplish the following scenario:
Location 1:
PDC: fs01.loc1.example.com
IP: 10.0.0.1
Location 2:
SDC: fs01.loc2.example.com
IP: 10.0.1.1
Clearly when we join the SDC to the PDC there is a naming conflict. The end result would be to have clients at each site resolve the fs01 name to
2012 Oct 07
2
[PATCH] drm/nouveau: fix error handling in core/core object creation functions
Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com>
---
This patch relies on "drm/nouveau: remove >1 sclass support from nouveau_parent_create_".
There are *many* *more* code paths without proper error handling - I counted
at least 106 in 41 functions. If someone would like to do a bit of janitorial
work I marked those code paths and uploaded "patch" here:
2012 Oct 07
1
[PATCH] drm/nouveau: remove >1 sclass support from nouveau_parent_create_
It's unused (only one codepath passes sclass at all and it's always one),
broken (overwrites the same field, leaking previous one) and confusing.
Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com>
---
drivers/gpu/drm/nouveau/core/core/client.c | 2 +-
drivers/gpu/drm/nouveau/core/core/parent.c | 3 +--
1999 Nov 23
1
postscript colors
Is color specification like this available in R for setting
postscript colors?
> hue <- c(0, seq(from = 0, by = 1/(nclass), length = nclass))
> sat <- c(0, rep(1.0, nclass))
> bri <- c(0, rep(1.0, nclass))
> zcolors <- cbind(hue, sat, bri)
> ps.options (setcolor=ps.setcolor.hsb,colors=zcolors)
2013 Mar 26
1
randomLCA_with error for me
Please can someone explain to me how to use randomLCA in R for an analysis.
I tried using it and had this error (copied below) which indicated my
patterns must consist of 0 or 1. I assume I am doing something wrong.
Please help.
> library(lattice)
> library(boot)
Attaching package: ‘boot’
The following object(s) are masked from ‘package:lattice’:
melanoma
> library(utils)
>
2012 Oct 25
5
system is computationally singular: reciprocal condition number
Hi folks,
I know, this is a fairly common question and I am really disappointed that I
could not find a solution.
I am trying to calculate Mahanalobis distances in a data frame, where I have
several hundreds groups and several hundreds of variables.
Whatever I do, however I subset it I get the "system is computationally
singular: reciprocal condition number" error.
I know what it means
2008 May 19
2
How hist() decides breaks?
Hi Folks,
I'd like to know how hist() decides how many cells to use
when it ignores my "suggestion" to use say 'hist(...,breaks=50)'.
More specifically, I have the results of 10000 simulations,
each returning an 8-vector, therefore 8 variables each with
10000 values. Some of these 8 have somewhat skew distributions.
Say one of these 8 variables is X.
I ask for H <-
2004 Mar 26
1
color.ramp in maptools
Dear list members,
I am trying to use the maptools library to display geographical data. At
the moment I have some trouble understanding how the " auxvar " variable
is supposed to be used in the plot.Map function.
I am using R Version 1.8.1 (2003-11-21) on Linux
Looking at the plot.Map function itself, I see that it calls a
color.ramp function (I am reporting only the relevant
2005 Jul 07
1
Tables: Invitation to make a collective package
Hi All,
I would like to make an invitation to make a collective package with all
functions related to TABLES.
I know that there are many packages with these functions, the original idea is
collect all this functions and to make a single package, because is arduous for
the user know all this functions broadcast in many packages.
So, I think that the original packages can continue with its
2005 May 24
1
Contingency tables from data.frames
Dear list,
I'm trying to do a set of generic functions do make contingency tables from
data.frames. It is just running "nice" (I'm learning R), but I think it can be
better.
I would like to filter the data.frame, i.e, eliminate all not numeric variables.
And I don't know how to make it: please, help me.
Below one of the my functions ('er' is a mention to EasieR,