similar to: Identify and plotting symbols. [SEC=UNCLASSIFIED]

Displaying 20 results from an estimated 10000 matches similar to: "Identify and plotting symbols. [SEC=UNCLASSIFIED]"

2007 Dec 21
1
using apply to loop [SEC=UNCLASSIFIED]
Hi Louis, You could try this: # find the index of the maximum value in each row of _data_, # disregarding the last column classified <- apply(data[,-(nclass+1)],1,which.max) ## or, if the maximum may be repeated: classified <- apply(data[,-(nclass+1)], 1, FUN = function(x) which(x == max(x))) # the variable _truth_ is just the last column of _data_ ? truth <- data[,nclass + 1] ?table
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 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 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 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 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,
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
2007 Sep 19
2
Identify and plotting symbols.
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 tried ind <-
2004 Sep 17
1
Problem with R-1.9.1 under Solaris 2.6
Hi I have installed R-1.9.1 on an 6 year old Sun running Solaris 2.6. After some initial failures to compile I used the : gcc 2.7.2.3 f77 compilers with gnu make. [could not get gcc 3.4.1 to compile] All but one of the .c programs compiled [that being src/main/connections.c which I manually compiled using cc] and the make check tests all worked [apart from the internet]. However I get the
2011 May 03
2
Overlapping x axes using Lattice
Hi R users I apologise in advance for this question as I suspect it is simple and perhaps others have had this problem. I am struggling to sort out how to fix the x axes so that the labels don't overlap. I have put the following example together to show my problem. library(lattice) titre <- as.factor(rep(c(10999,20999,30999,40999,50999,60999,
2008 Jun 06
3
R loop
I all I am just trying to get the idea of a loop if statement for another purpose. I was going to label a new variable based on date ie first week 1, second week 2 etc. My code in bold is wrong but seems logical to me, could someone help. x <- rep(c(2660156,2663703,2658165,2659303,2661531,2660914),c(2,2,2,2,1,1)) y <- rep(c(6476767,6475013,6475487,6479659,6477004,6476388),c(2,2,2,2,1,1))
2010 Feb 14
0
ads_sasl_spnego_krb5_bind failed: Program lackssupportfor encryption type [SEC=UNCLASSIFIED]
-----Original message----- From: Jeremy Allison jra at samba.org Date: Sat, 13 Feb 2010 22:09:31 -0600 To: dale at briannassaladdressing.com Subject: Re: [Samba] ads_sasl_spnego_krb5_bind failed: Program lackssupportfor encryption type [SEC=UNCLASSIFIED] > On Sat, Feb 13, 2010 at 01:35:12PM -0600, dale at briannassaladdressing.com wrote: > > Alex, > > > > I've been a
2019 May 31
0
Problem joining domain [SEC=UNCLASSIFIED]
On Fri, 2019-05-31 at 06:21 +0000, Thamm, Russell via samba wrote: > UNCLASSIFIED > > Hi Andrew and Roland, > > I originally installed samba-4.1.7 on CentOS 6.5. I successfully joined the domain. I intended to take over from the 2003 server but because the domain was being heavily used, I delayed seizing the roles. > > Now I really, really want to replace the 2003 server.
2008 Oct 02
1
matrix with different type of column [SEC=UNCLASSIFIED]
Hi, I would like to create a matrix. Say 5*4. The first column is integer, the second column is date, the third column is character and the rest columns are integers. So it's a combination of different types. I am wondering how can I do that? "matrix" command only allow one type. ********************************************************************************* This e-mail message
2008 May 06
3
Spatial join between two datasets using x and y co-ordinates
Hi R users I am trying to create a spatial join between two datasets. The first data set is large and contains descriptive data including x and y co-ordinates. The second dataset is small and has been selected spatially. The only data contained within the second dataset is the x and y coordinates only i.e. no descriptive data. The aim of a join made between the two datasets is to select
2005 Aug 02
0
SEC: UNCLASSIFIED:-Could not convert sid to gid
I'm using a Proliant GL-380 server running Red Had Linux ES 4 (2.6.9-5.0.3.ELSMP) and Samba 3.0.10-1.4E. The server is acting as a Domain Member Server of an ADS Windows 2003 server. The problem I haveI been having is with some groups not being "migrated" to the Linux environment, or more specifically converting the group SIDs to GIDs. The problem can be summarised as follows: *
2017 Aug 30
0
FW: Predictive accuracy measures in a recently released R package, spm: Spatial Predictive Modelling [SEC=UNCLASSIFIED]
Hi All, Just thought you might be interested in a recently released R package, spm: Spatial Predictive Modelling. It aims to introduce some novel, accurate, hybrid geostatistical and machine learning methods for spatial predictive modelling. Of 22 functions available in spm, two functions are for accuracy assessment. Perhaps they are not only useful tools for spatial predictive modelling
2018 Mar 20
0
A new version (1.1.0) of the “spm” package for spatial predictive modelling reelased on CRAN [SEC=UNCLASSIFIED]
Dear R users, A new version (1.1.0) of the ?spm? package for spatial predictive modelling is now available on CRAN. The introductory vignette is available here: https://cran.rstudio.com/web/packages/spm/vignettes/spm.html There are several new enhancements to the package including a fast version of random forest in using ranger (rg) library(ranger) and the ability to convert relevant