similar to: Problems with levels of factors

Displaying 20 results from an estimated 1298 matches similar to: "Problems with levels of factors"

1999 Dec 13
Problems with "help(topic,offline=T)"
Hello everybody, since I installed R-0.90.0 (Linux 2.0.25) I have problems with generating printable output with 'help()'. Default output to the terminal ('echo $PAGER' gives 'less') works o.k.. When invoking 'help(topic,offline=T)' all the usual procedures seem to start: 'top' reports invocation of latex as well as of dvips. But after finishing there is
2000 Dec 08
Problem with multiple factors in nlme
Dear R-experts, I have a problem to formulate non linear mixed effects when more than one explanatory variable is present. I'm using R 1.1.1 under Linux. The version number of the nlme library is 3.1-7. "help(nlme)" says that among several possibilities it is possible to code fixed effects according to fixed = a1 + a2 + ... + an ~ X1 + X2 + ... + Xm where the left hand side
1999 Jul 15
Strange behavior using .Fortran
Hello everybody, I observed some strange behavior of R (0.64.1/Linux 2.0.25) when trying to use FORTRAN-libraries. I downloaded "ALGORITHM AS 304" from StatLib. All I changed at the code, was to substitute "REAL"-routines by "DOUBLE PRECISION". Compiling went o.k. ... > g77 -fpic -O2 -shared -o rtest.o fisher.f ("g77 --version" gives
1998 Nov 11
MANOVA / Hotelling's Test
Hi everybody ... I have to perform Hotteling's T^2 Test - more generally a MANOVA - on a set of data. Is there a (simple?) possibility to do it in R? The somewhat obvious way to do it would be > summary(aov(Y ~ x1 + x2 ... + xn)) where Y would be a two-column matrix. But this does not work in any possible combination of matrix or factor dimensions! Is it principally not possible
1999 Jul 15
Strange behaviour using .Fortran
Hello everybody, I observed some strange behaviour of R (0.64.1/Linux 2.0.25) when trying to use FORTRAN-libraries. I first downloaded "ALGORITHM AS 304" from StatLib. All I changed at the code, was to substitute "REAL"-routines by "DOUBLE PRECISION". Compiling went o.k.: > g77 -fpic -O2 -shared -o rtest.o fisher.f ("g77 --version" gives
1999 Jul 28
(Fwd) Re: 3d in R
In Win95/NT you can use xgobi (program and R interface) as well, provided you will install an x-server on your machine (a free one is available from Regards! Zdenek Skala ***************************************************** Uli Flenker wrote: I'm not familiar with S/S+, but I think the "xgobi" software
1999 Mar 25
Y-limits of barplots
Hello everybody, I frequently have to produce barplots from variables the natural variation of which is far away from zero. A typical range would be, say from -16 to -28. So, the following example should give an "honest" presentation: x<-c(-20,-22,-21,-28) barplot(x,beside=T,ylim=c(-18,-30)) But using anything else but "0" for the first element of ylim leads to strange
2001 Mar 07
fromulation of random effects (nlme)
Dear all, I have a problem formulating random effects when using the nlme package. ?nlme says that the random effects can be a formula or a list of formulae. But when trying to do so, I run into trouble. (R-1.2.2, nlme-3.1-10, Linux) library(nlme) example(nlme) # works nice ... fm1 # the fitted model ### Trying to update with different random effects
2011 Dec 08
Compilation error of R-2.14.0 on Mac OS 10.7.2
Dear R gurus, I attempt to install the latest version of R from source on my MacBook Pro, using latest versions of Xcode and gfortran for Lion and configure options: ./configure --with-libintl-prefix=/sw --enable-R-shlib (this last option necessary to further install the Rpy Python package) I got the following unreduced compilation error: gcc -std=gnu99 -dynamiclib
1999 Aug 26
error bars on barplots
Hello again I'm trying to put error bars onto a barplot. I've tried something that Bill Simpson suggested a while ago, ie: x<-c(1,2,3,4,5) y<-c(1.1, 2.3, 3.0, 3.9, 5.1) ucl<-c(1.3, 2.4, 3.5, 4.1, 5.3) lcl<-c(.9, 1.8, 2.7, 3.8, 5.0) plot(x,y, ylim=range(c(lcl,ucl))) arrows(x,ucl,x,lcl,length=.05,angle=90,code=3) #or segments(x,ucl,x,lcl) but I can't get it to work on a
1998 Nov 16
PB Mandeville can't be reached
# Peter B. Mandeville kindly offered to send me code for Hotelling's T^2 # Test. Unfortunately there seems to be no route to his machine. # So i'm trying to reach him via the Mailing List. ------------------------------------------------------------------------ Sir, this morning i recieved your message about the availability of the code for Hotelling's Test. I hurried to find out
2000 Jul 04
nlme errors ?
Dear friends. Below is ouput directly from the help on qqnorm.lme.html It do not seem to work as expected - on win98, R 1.1, although the regression is undertaken, so qqnorm misunderstands, or what ? library(nlme) data(Orthodont) fm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject) # normal plot of standardized residuals by gender qqnorm(fm1, ~ resid(., type = "p") | Sex,
2000 Dec 09
filtering lines in a table
Hello, I realize this is probably a dumb question, but I think there must be an easy way to do this with R and I was not able to find it in the doc. I have a table (read from a file with read.table), with two factor columns, table$A and table$B, and a numerical column, table$X. I wish to make a boxplot of (table$X ~ table$A) for a given value of B. Is there a way to express this with a
1999 Jul 28
3d in R
Dear R-users and R-developpers, I've not been able to find 3d graphics in R, like Splus spin() or brush(). Are there any that I've missed and/or is anybody working on implementing these type of functions? Thanks Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at
2007 Oct 03
Problem with mISDN and HFC-Cards in Asterisk-DomU
Hello, I am having problems, getting my asterisk-domU to work properly. It consists of the following components: - Debian Etch under Xen-3.1 with a 2.6.18-kernel - Asterisk 1.2.24 - mISDN-1.1.5 I have 2 HFC-ISDN-cards, which I pass through to the Asterisk-DomU in permissive mode. This is working fine. The strange problem is, that the two HFC-ISDN-cards are not beeing initialized by the
1999 May 05
ANOVA "ex post" Analysis
Hello everybody, shame on me if I have overlooked something (CRAN, StatLib), but I think I've searched carefully. Maybe it's just too obvious to see for me (happens frequently). Is a function available that extracts multiple comparison of means from objects produced by "aov()" ? Sorry if the term is not correct, I translated from german word by word ("Multiple
2005 May 04
hfc isdn cards & zaphfc in domU
Hello, After searching the archives, I''ve found only two messages regarding this case, but there were no solution. I have a similar problem, so I try to ask here. I have twi HFC chipset ISDN cards in my pc: 0000:00:0d.0 Network controller: Cologne Chip Designs GmbH ISDN network controller [HFC-PCI] (rev 02) Subsystem: Cologne Chip Designs GmbH ISDN Board Flags: bus
2010 Apr 28
BN8S0, dahdi, wcb4xxp
Hi, a few month ago, I tried to install zaptel for my Beronet BN8S0 pci card... I gave up and took hfcmulti/lcr. Now dahdi ( seems to support the card and I''m very interested to get it to work. But how to get rid of these annoying qozap driver? bishop dahdi # lspci -v -nn -s 01:00.0 01:00.0 ISDN controller [0204]: Cologne Chip Designs GmbH ISDN network Controller [HFC-8S]
1999 May 06
ANOVA "ex post" Analysis (fwd)
We had problems with our mail server. I have no idea whether this message has reached the list or whether there were any replies. So I retry ... ------------------------ Date: Wed, 5 May 1999 16:42:55 +0200 (CEST) From: "Uli Flenker; Raum 704" <uli at> To: R-Mailing-List <r-help at> Subject: ANOVA "ex post"
2012 Dec 07
Conditional inference forest error: levels in factors do not match
#Conditional inference forest ("Party" package) error message states that levels in factors of new data do not match original data, but they do... #create conditional inference forest oc_listed.fit1 <- cforest(Listed~ HabMode,controls=cforest_unbiased(ntree=500), data=oc.complete) #use predict function for subset of data #this works correctly