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

1999 Dec 13

1

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

1

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

1

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 2.7.2.1)

1998 Nov 11

1

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

0

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

1

(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 http://www.microimages.com/freestuf/mix/).
Regards!
Zdenek Skala
*****************************************************
Uli Flenker wrote:
I'm not familiar with S/S+, but I think the "xgobi" software

1999 Mar 25

1

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

0

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

2

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

1

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

1

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

1

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

2

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

2

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 ija.csic.es

2007 Oct 03

4

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

1

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

0

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

4

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 (2.2.1.1) 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

0

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 pcinternet.biochem.dshs-koeln.de>
To: R-Mailing-List <r-help at stat.math.ethz.ch>
Subject: ANOVA "ex post"

2012 Dec 07

0

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