search for: treatements

Displaying 16 results from an estimated 16 matches for "treatements".

Did you mean: treatement
2002 Oct 01
1
Image treatement
Hello, I'm begining with R and I'm very interested to treat satellite images with it. I want to ask you: a) Is it possible to read binary files with R? b) How could I view images (in a matrix array format) with R? thank you very much Carlos -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read
2011 Jul 09
2
Meta-analysis with zero values for mean and sd. Continuous data.
Hi, I want to do a meta-analysis with count data for treatement/control cases. Mi problem is that I need to use zero values (an informative zero value) for the mean and standard deviation for one of the treatement, but R has a problem: "Studies with zero values for sd.e or sd.c get no weight in meta-analysis". I can agroup the case by Family (byvar=Family). ¿Can you help me? Thanks!
2011 Jul 09
1
Meta-analysis with zero values for mean and sd
Hi! I want to do a meta-analysis with count data for treatement/control cases. Mi problem is that I need to use zero values (an informative value) for the mean and standard deviation for one of the treatement, but R has a problem: "Studies with zero values for sd.e or sd.c get no weight in meta-analysis". I can agroup the case by Family (byvar=Family). ¿anybody help me? Thanks! >
2010 Sep 16
1
ANOVA - more sophisticated contrasts
dear list, i am using a multifactorial design with two treatments (factor A: drugs, three levels; factor B: theraphy, two levels) and a time factor (three levels, different timepoint). hypothetically, i measured the same subjects for all treatements and timepoints, so its a repeated measurement design. now i ran an anova in R and also some Tukey post-hoc tests using glht. but what i am actually interested in is to perform conditional contrasts, f.i. A1 for the 1st timepoint vs. A1 for the 2nd time (to put it in words: an evaluation of whether...
2003 Mar 12
2
[OT] Appropriate test?
...ve 20 subjects in two groups of treatment (8 an 12 subjects). Biological measure have been recorded at different time, from t0 (before the treatment) to t7 (3 days after). The time elapsed between each measure is not constant. What is the most appropriate test to show a difference between the 2 treatements? I thought that an anova for repeated measure could do the trick, but I didn't really find how to do it with R. I sorry for being OT but I didn't really know where to ask this question. If you could redirect me on a appropriate forum or mailing list to have that sort of help, I would a...
2013 Sep 13
1
Creating dummy vars with contrasts - why does the returned identity matrix contain all levels (and not n-1 levels) ?
Hello, I have a problem with creating an identity matrix for glmnet by using the contrasts function. I have a factor with 4 levels. When I create dummy variables I think there should be n-1 variables (in this case 3) - so that the contrasts would be against the baseline level. This is also what is written in the help file for 'contrasts'. The problem is that the function
2008 Jul 11
0
GroupedData for three way randomized block. LME
...ght way to do it. My experiment consists of manipulating FRUITS and VEGETATION to two levels each(intact or removed) on 12 experimental plots. This leaves me with 4 treatment combinations Fruit intact Vegetation removed Fruit int. Veget int. Fruit rem. Veget rem. Fruit rem. Veget. intac those treatements are distributed accross 3 blocks. Plots were repeated surveyed for mice using 16 PLATES that recorded mice TRACK prints on each block. I am trying to create a grouped data that incorporates the the fixed effects of FRUIT VEGETATION TIME and random repeated measures for PLATE and random effects fo...
2011 Jun 24
0
reshape: cast(x, a ~ b ~ .) vs. cast(x, a ~ b) difference
Hi, I have a problem with understanding what the function cast() from the package reshape is doing. In the example below I have a 2x2x2 array which I first melt and then cast to get the averages over the field 'strain' for every combination of the fields 'treatement' and 'gene': ------ > mdat <- melt(array(rnorm(8), dim=c(2,2,2),
2008 Aug 07
1
'"ts" treated as a registered S3 class, but keep its "structure" behaviour' ?
Dear all, In R-devel I have noticed the new approach for the "ts" class in the package "methods". the "structure" behaviour of "ts" is not always kept when one uses "ts" objects and objects of classes which extend the virtual class "structure". As a short example: ## this works fine setClass("foo", representation(header =
2016 Oct 10
0
aVirtualTwins available on CRAN
[markdown format] I'm glad to introduce you the new package aVirtualTwins. This package is an adaptation of VirtualTwins method of subgroup identification from [Foster, J. C., Taylor, J. M.G. and Ruberg, S. J. (2011)](http://onlinelibrary.wiley.com/doi/10.1002/sim.4322/abstract). ### Explanation Virtual Twins has been created to find subgroup of patients in a random clinical trial with
2016 Oct 10
0
aVirtualTwins available on CRAN
[markdown format] I'm glad to introduce you the new package aVirtualTwins. This package is an adaptation of VirtualTwins method of subgroup identification from [Foster, J. C., Taylor, J. M.G. and Ruberg, S. J. (2011)](http://onlinelibrary.wiley.com/doi/10.1002/sim.4322/abstract). ### Explanation Virtual Twins has been created to find subgroup of patients in a random clinical trial with
2002 May 27
1
nlme cross-over and fixed nested
I have problem getting the concept of a nested fixed variable into the nlme scheme. I fear the question is very stupid. In the past I had asked this before, and never got a reply (in other cases, the response was within hours). I also checked the S-list, where several similar enquiries of other people are orphaned. We have a cross-over design, where patient are treated two weeks with placebo,
2006 May 09
2
post hoc comparison in repeated measure
Hi, I have a simple dataset with repeated measures. one factor is treatment with 3 levels (treatment1, treatment2 and control), the other factor is time (15 time points). Each treatment group has 10 subjects with each followed up at each time points, the response variable is numeric, serum protein amount. So the between subject factor is treatment, and the within subject factor is time. I ran a
2007 Apr 14
13
Ambisonics in Ogg Vorbis
On 2/28/07, Ivo Emanuel Gon?alves <justivo@gmail.com> wrote: > On 2/28/07, Ralph Giles <giles@xiph.org> wrote: > > Well, there are todo pages at wiki.xiph.org, but I meant more in the > > community folklore sense. My point is a roadmap doesn't help much unless > > there are people committed to making things happen. That's been the > > problem with a
2007 Apr 14
13
Ambisonics in Ogg Vorbis
On 2/28/07, Ivo Emanuel Gon?alves <justivo@gmail.com> wrote: > On 2/28/07, Ralph Giles <giles@xiph.org> wrote: > > Well, there are todo pages at wiki.xiph.org, but I meant more in the > > community folklore sense. My point is a roadmap doesn't help much unless > > there are people committed to making things happen. That's been the > > problem with a
2009 Feb 10
6
OT: A test with dependent samples.
I am appealing to the general collective wisdom of this list in respect of a statistics (rather than R) question. This question comes to me from a friend who is a veterinary oncologist. In a study that she is writing up there were 73 cats who were treated with a drug called piroxicam. None of the cats were observed to be subject to vomiting prior to treatment; 12 of the cats were subject to