search for: nikons

Hi all, I've got a CentOS 5.4 box and am trying to use it to control either of the two old cameras we've got, one being Nikon Coolpix 990 and the other Nikon Coolpix 995. Accessing either I get the following message: ---------------------------------------------------- *** Error *** An error occurred in the io-library ('Could not claim the USB device'): Could not claim interface

Hi guys, I'm a photographer and I want to use the software that my camera manufacturer makes. I can install the application like View NX 2 but Nikon trasnfer makes an error. I want to know what information do I have to gather for help or what should I need to correct this erros. If any interested of helping please just reply. Thank you.

hi! I apologize in advance if this is a newbie dumm question, but I really can't figure it ou. I have lists of sumeric and character data on some URLs, which look like this: <photo id="5876248819" owner="13716719 at N04" secret="faf9bb7f52" server="5264" farm="6" title="our rose garden" ispublic="1"

I don't think, this has been answered: > I'm trying to run a 3-way within-subject anova in lme with 3 > fixed factors (Trust, Sex, and Freq), but get stuck with handling > the random effects. As I want to include all the possible random > effects in the model, it would be something more or less > equivalent to using aov > > > fit.aov <- aov(Beta ~ >

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although i have been made aware of linux native proprietary drivers for film scanners, i would like to know whether running nikon scan on wine has ever been attempted i never attemped to run drivers on wine; is that possible at all? thanks francesco pietra

I am trying to run a GLMM on some binomial data. My fixed factors include 2 dichotomous variables, day, and distance. When I run the model: modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial") I get the error: iteration 1 Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 >From looking at previous help

I want to use the plot(model) function to generate Tukey-anscomb and Q-Q plots of a lm(). I manage to change all labels but the main one which apparently is neither main or sub. So far I have tried as par setting: cex (changes symbol size within the plot), cex.main (no effect), cex.sub (no effect) cex.lab (changes label size), cex.axis (changes axis label size). What I would like to change is the

Dear All, I wonder if anyone can please offer any advice on a model including 2 fixed effects and 1 random effect, as well as a covariate? The experimental design is as follows: I have a two by two factor design, where the two factors, Age (A) and Group size (G), both have 2 levels (old or young, and 1 or 3 respectively), and I am interested in the effect of these factors upon a continuous

Dear all, I do not seem to grasp how contrasts are set for ordered factors. Perhaps someone can elighten me? When I work with ordered factors, I would often like to be able to reduce the used polynomial to a simpler one (where possible). Thus, I would like to explicetly code the polynomial but ideally, the intial model (thus, the full polynomial) would be identical to one with an ordered factor.

Hi, It looks like KDE's file manager Dolphin doesn't support MTP under CentOS 7. When I plug in an MTP device like my Nikon camera or an Android phone, Digikam shows its content OK, but Dolphin seems to ignore it. For now, my custom CentOS 7 + KDE desktop meets about 99 % of my needs. Now I've decided to tackle the remaining 1 %. Yesterday for example, I managed to correct the

Dear R users, Is there something like predict (..., type= 'response') for glmmPQL objects or how would I get fitted values on the scale of the response variable for the binomial and the poisson family? Any pointers are appreciated. Thanks, Lorenz - Lorenz Gygax, Dr. sc. nat. Tel: +41 (0)52 368 33 84 / lorenz.gygax at fat.admin.ch Tag der offenen T??r, 11./12. Juni 2004:

Hello. I am fitting a two-level mixed model which assumes equality of variance in the lowest-level residuals across groups. The call is: fit3<-lme(CLnNAR~CLnRGR,data=meta.analysis, + na.action="na.omit",random=~1+CLnRGR|study.code) I want to test the assumption of equality of variances across groups at the lowest level. Can someone tell me how to do this? I know that one

Hi, I am searching for a possibility to display a logarithimic y-axis in a histogram. With plot that's easy (e.g. plot(1:10, log="y") but for histograms this does not work the same way: I tried hist(rnorm(1000), freq=FALSE, seq(-4, 4, .5), ylim=c(0.001, 0.5), log="y") Which gives the expected histogram but also warnings for my log="y" command

Hi ! I try to compare some models obtained from glmmPQL. model1 <- glmmPQL(y~red*yellow+I(red^2)+I(yellow^2)+densite8+I(densite8^2)+freq8_4 +I(freq8_4^2), random=~1|num, binomial); model2 <- glmmPQL(y~red*yellow+I(red^2)+I(yellow^2)+densite8+I(densite8^2)+freq8_4 , random=~1|num, binomial); anova(model1, model2) here is the answer : Erreur dans anova.lme(model1, model2) : Objects must

hello, i want to install the rimage package (0.5-7) into my R (2.5.1). i installed the "i686-apple-darwin8-g++-4.0.1 (GCC) 4.0.1 (Apple Computer, Inc. build 5367)" from the macOS cd and created symbolic links to gcc and g++. well if i try now to install the package in R the console says: g++ checking for C++ compiler default output... ** Removing '/Library/

Hello everybody 1. If there is/ever will be a function to perform "duncan multiple range test" please inform me at once. 2. Is there a way to create a grouping as duncan does from TukeyHSD output? My experimental design contained 62 genotypes, so the pairwise comparison is not that usefull and clear to look at. How would I do that? Is there an other test that does give grouping as

Hi there, I was wondering if this is a right list, but let's try... I have quite simple question concerning ext3 fs. Am I able to change "Commit interval" from 5 sec. to something else without rebuilding the kernel? Maybe tune2fs or sth. like that? All the best, Mike ----------------------------------------------------------------------- Wakacje w czapce. Super konkurs

Dear R-mixed-effects-modelers, I could not answer this questions with the book by Pinheiro & Bates and did not find anything appropriate in the archives, either ... We are preparing a short lecture on degrees of freedom and would like to show lme's as an example as we often need to work with these. I have a problem in understanding how many dfs are needed if random terms are used for

Dear R users, I have not found anything on this in the archives. Does anyone know whehther the parameter use= is not functioning in cor or enlighten me what it is supposed to do? My R version is "R version 1.8.1, 2003-11-21" on Windows 2000. I am hoping to be able to update to 1.9.1 as soon as it has appeared (we are not allowed here to install software on our own and thus I am trying