similar to: Incomplete, unbalanced design, and pseudoreplication?

Need some help please I am trying to use this model because I have temporal replication in my data results<-read.table(file=file.choose(),header=T) attach(results) names(results) results<-na.omit(results) library(nlme) library(lattice) results<-groupedData(weight~date|group,outer=~diet,results) plot(results) plot(results,outer=T) model<-lme(weight~diet,random=~date|group,results)

Sorry if this is the wrong ml for this question, I am new to R. I am trying to use R to analyze the data from my thesis experiment and I am having troubles accounting for the pseudoreplication properly from having each participant repeat each treatment combination (combination of fixed factors) 5 times. The design of the experiment is as follows... Responses: CompletionTIme VisitedTargets

Hi, As part of my dissertation, I'm going to be doing an Anova, comparing the "dead zone" diameters on plates of microbial growth with little paper disks "loaded" with antimicrobial, a clear zone appears where death occurs, the size depending on the strength and succeptibility. So it's basically 4 different treatments, and I'm comparing the diameters (in mm) of

Hi, I have an experiment with 2 independant factors which I have been trying to analyse in R. The problem is that there are several data points recorded on the same animal. However, no combination of treatments is repeated on the same animal. All possible combinations of treatments are done in a random order with as many points as possible being done on 1 animal before moving onto the next. The

Dear all, this is a rather basic question; i am not sure how to structure my data well: I want to extraxt various measures from my raw-data. These measures are of different sizes, so I decided to store them in a list, like: run1 <- list(Dom = (my_vector), mean = (my_single_number)) I can do that in a for loop for 40 runs, ending up with 40 lists: run1, run2, ..., run40. To have all the

libswfdec/swfdec_loadvars_as.c | 2 - test/trace/Makefile.am | 9 ++++++ test/trace/loadvars-decode-5.swf |binary test/trace/loadvars-decode-5.swf.trace | 23 +++++++++++++++ test/trace/loadvars-decode-6.swf |binary test/trace/loadvars-decode-6.swf.trace | 23 +++++++++++++++ test/trace/loadvars-decode-7.swf |binary

On 25/02/2011 21:22, Ben Ward wrote: > > -------- Original Message -------- > Subject: Re: [R] ANOVA and Pseudoreplication in R > Date: Fri, 25 Feb 2011 12:10:14 -0800 > From: Bert Gunter<gunter.berton at gene.com> > To: Ben Ward<benjamin.ward at bathspa.org> > CC: r-help<r-help at r-project.org> > > > > I can hopefully save bandwidth here by

I am seeing a very strange situation where doing: make -C dir all does not rebuild anything in dir, even though stuff is stale. This command is what the recursive makefile uses to walk the directory structure. The really strange thing is that: cd dir; make all does rebuild stuff. Does anyone have any idea what is going on here? I thought they were identical. -Chris

I think I am overlooking a call or concept in R to help me easily and quickly restructure my data.frame:   Sometimes the data I receive looks like: VariableName, Run1, Run2, Run3, Location temp,               15.0,  16.0,  17.0, There   And other times it looks like: VariableName, Run, Location temp,               17.0, There   I would like to use the header information in order to be able to

Hello I am new in R. I am trying to implement Biomod 2 package. However, I have a doubt. I want to calculate the mean and sd of "Testing.data" (ROC and TSS) > # let's print the ROC scores of all selected models > myBiomodModelEval_55["ROC","Testing.data",,,] RUN1 RUN2 RUN3 RUN4 RUN5 RUN6 RUN7 RUN8 RUN9 RUN10 0.938 0.938 0.926 0.931 0.939

> make -d -C dir all >run1 > cd dir; make -d all >../run2 cd .. diff -udb run1 run2 | less But maybe you don't have GNU make, but some Apple (BSD-derived) make which doesn't have the "-d" switch ...

Dear All Sorry for what appears a trivial matter - I'm new to R and am stumbling ahead. I have a table of numerical data (36 rows by 12 columns) such as below: GM1 GM2 GM3 GM4 GM5 ...etc GM12 Run1 1 2 1 2 3 ... Run2 2 1 3 2 1 ... ... Run36 2 1 1 1 1 I would like to plot simple line graphs of some of the runs or

Hi, I have a lattice lot conditioned on two variables. Example code is: library(lattice) x <- data.frame(d=runif(100), f1=sample(c('yes', 'no'),100,replace=TRUE), f2=c(rep('Run1',30),rep('Run2',30),rep('Run3',40))) histogram(~d | f1 + f2, x) In the plot, for a given value of f2, there are two panels, one for 'n'

I get a message from the fallout 3 launcher telling me that "no sound device detected. Fallout 3 cannot run". Funny thing is that I'm listening to the background sound of the launcher so I am indeed getting sound. Any ideas on a cure? There should be a fallout.exe along with the falloutlauncher.exe in the program files that could possibly bypass the launcher, would that work and were

Hi, ------- ------- | B |eth0---------eth0| C | | |eth1---------eth1| | ------- ------- In an attempt to have the install setup to increase speed and/or reliability of a link between two linux machines (for example in case of a wireless connection), I read that there were more than one solution, for example the old eql driver, bonding

Documentation on how to put classes and methods in packages with namespace? How should I define my classes and methods in "dynamicGraph"??? (That is - Can some one point me to the documentation on how to put classes and methods in packages with a namespace? ) Currently it is done by the code below. This gives problems, when a workspace with a "dynmaicGraph" is

Is there a way do what is sometimes called a 3rd party transfer in Asterisk. That is; Call A comes in and is answered B. B then places A on hold and calls C. After C answers, B&C chat for a moment, then B brings A on line. After making intro's B then drops off call. Thanks, Jeff NeturallySpeaking -------------- next part -------------- An HTML attachment was scrubbed...

Hello, this forum was very helpful yesterday with a simple question I had on working with tables. What function will I need to use to do the following. Move matrix a: A B C D x 1 2 3 4 y 5 6 7 8 to the mean of B&C and C&D: BC CD x 2.5 3.5 y 6.5 7.5 and then to the mean of B&CB, C&BC, C&CD, and D&CD: AAB BAB

Dear all, I am not fluent in R and am struggling to 1) apply a lm to a weight-size dataset, thus the model has to run separately for each species, each year; 2) extract coefs, r-squared, n, etc. The data look like this: year sps cm w 2009 50 16 22 2009 50 17 42 2009 50 18 45 2009 51 15 45 2009 51 16 53 2009 51 17 73 2010 50 15 22 2010 50 16 41 2010 50 16 21 2010

Greetings, I am trying to run a short script from a shell: c:\projects\hell>Rscript --default-packages=mypack X:/4Stephen/commit/curve.R > X:/4Stephen/commit/run1.out Loading required package: utils Warning message: package 'RODBC' was built under R version 2.12.2 Error: could not find function "normalize" Execution halted Warning message: closing unused RODBC handle 1