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Hey. I have a set of data points (x1,y1,z1; x2,y2,z2;...........................xn,yn,zn). I need to smooth these in 3D. For example if these were in 2 D then one would use inverse distance weighting or...

Hi, I am an R novice working with financial data. I am developing a portfolio strategy evaluation technique to back-test the performance of our screens; checking how the screened stock would've performed over the period in question. I...

Hi, I first posted this in?cross validated, but thought this forum is better suited for this question. I have binomial data (meaning k successes out of n trials) for a set of conditions. I would like to fit a...

I have the following experimental design:Measurements of kidney function (in units called GFR) taken at several time points pre-operation (time points not evenly spaced) and at several time points post-operation (neither evenly spaced). Here's an example...

Hi,I have this experimental design:?I have two sets of cell lines. One in which I mutated a gene and another in which I didn't and therefore serves as the control. I grow each of these cell lines...

Hello. This is my first post to the list, so first I'd like to thank everybody for making and mantaining such a great product as R. I'm writting a native binding to R from Dolphin Smalltalk. I've...

I hope this question is general enough to be of broad interest. Here's the abstract explanation of my problem: I have two groups for which I measured a certain feature. Specifically, this feature can be divided into sub-categories...

Dear Thierry, Thanks a lot for the help. Please allow me to explain better. What I'm trying to estimate is whether the trend in pre-operation GFR affects the levels of post-operation GFR. The GFR is a measurement...

?I have data from the following experimental design: my observations are counts of the numbers of successes (K) out of corresponding number of trials (N), measured for two groups each comprised of?I?individuals, from?T?treatments, where in each...

Thanks a lot. -------------------------------------------- On Tue, 7/21/15, Thierry Onkelinx <thierry.onkelinx at inbo.be> wrote: Subject: Re: [R-sig-ME] Scaling the response of a linear model to different factor groups To: "Daniel Rubi" <daniel_rubi at ymail.com...

Thanks a lot On Thursday, July 21, 2016 4:47 PM, J?rg Albrecht <albrechj at staff.uni-marburg.de> wrote: Hi Dan, that was a misunderstanding. I meant you should code time as a factor and run a modified...

Thanks a lot for the advice Peter. Just to make sure I got it correctly. Will the model would be this multivariate model: gfrs_post_op ~ gfr_pre_op1 + gfr_pre_op2 + gfr_pre_op3 + SamplePeriod + (SamplePeriod | Patient) where gfrs...

Hi, I have repeated measures from two groups (treatment and control), three subjects in each, over three time points. Here's the data in an R data.frame:df <- data.frame(subject=rep(c("T1","T2","T3","C1","C2","C3...

Hi?J?rg, Unfortunately setting time as integer doesn't change anything whereas setting it as a factor means that the number of random effects will be equal to the number of samples. Perhaps this is an alternative:fit1 <- gls...

I have data from these set of experiments:In each experiment I infect a neuron with a rabies virus. The virus climbs backwards across the axon of the infected neuron and jumps across the synapse to the input axons of...

0 I have an experimental design where I took the left and right brain hemispheres from mice across several time points (hence its cross-sectional) following treatment at time 0 to the left brain hemisphere only. Therefore the right hemisphere...