similar to: Repeated measures on a split-plot experiment

I’d like to sample the vector “y” repeatedly. In this dummy dataset, I’d like to sample (and store) it 1, 2, and 3 times. Is there a straightforward way to do this without using a “for” loop? x <- c(1 :3) y <- c(1:10) (run.sample <- sample (y, x)) Thanks very much, James Hudson [[alternative HTML version deleted]]

Hi all, I'm trying to run a repeated measures ANOVA on some univariate ecological data that was collected over two growing seasons. I ran the test using the methodology found on this website: http://rtutorialseries.blogspot.com/2011/02/r-tutorial-series-one-way-repeated.html Upon running the actual ANOVA I got this error message: "> rmanova=anova(yearmodel, idata=yearframe,

Hello, I would like advice on if and how I might viably analyse this dataset: The experiment has 3 blocks with a three level main plot treatment, split to a two level treatment. In this case most parameters are also measured repeatedly at 1-3 monthly intervals. Ideally I would like to test the full response~treatment_1*treatment_2*sample_time model, but don't know what the structure should

Hi, I have a experiment with block, plots, sub-plots, and sub-sub-plots with repeated measures and 3 factors (factorial design) when we have been observed diameter (mm), high (cm) and leaves number (count). However, we don't have one treatment in one factor, so, my design is unbalanced. On a previous message here, a friend tell me that "It appears to me that your design is a split-split

Hi, My name is Dan Ott and I recently learned R mainly for the purposing of running ANOVA's and linear regression. I just started using a data set where I want to run a repeated measures anova as well as a split-plot anova. My question is: What is the syntax for repeated measures and split-plot anova's? I did a little searching online and it appears that aov might be used for a

Dear all, I am trying to analyze data from an experiment like this: Factors: Hormone - Levels: SH, CH (S = without; C=with; H=Hormone) Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY) Nutrition - Levels: Completa, Sem (without) Macronutrition - Levels: Ca, K, Mg, P, Sem (without) Time is the measures day. It reflect the days after germination. Blocks : 4 plants per

I have 3 questions (below). Background: I am teaching an introductory statistics course in which we are covering (among other things) repeated measures anova. This time around teaching it, we are using R for all of our computations. We are starting by covering the univariate approach to repeated measures anova. Doing a basic repeated measures anova (univariate approach) using aov() seems

Hello- I'm trying to do some repeated measures ANOVAs. In the past, using SAS, I have used the framework outlined in Littell et al.'s "SAS System for Mixed Models", using the REPEATED statement in PROC MIXED to model variation across time within an experimental unit. SAS allows you to specify different within-unit covariance structures (e.g., compound symmetric, AR(1), etc.) to

Dear R-help I have two separate experiments, one a repeated-measures design, the other a split-plot. In a standard ANOVA I have usually undertaken a multiple-comparison test on a significant factor with e.g TukeyHSD, but as I understand it such a test is inappropriate for repeated measures or split-plot designs. Is it therefore sensible to use Helmert contrasts for either of these designs?

Hi, I ran R (version 2.9.0) CMD build under root in Fedora (9). When it tried to remove "junk files" it removed EVERYTHING in my local account! (See below). Can anyone tell me what happened, and even more importantly if I can I restore what was lost. Panickingly, Jarrod [jarrod at localhost AManal]$ R CMD build MCMCglmm_2.05 * checking for file

Hi, I ran R (version 2.9.0) CMD build under root in Fedora (9). When it tried to remove "junk files" it removed EVERYTHING in my local account! (See below). Can anyone tell me what happened, and even more importantly if I can I restore what was lost. Panickingly, Jarrod [jarrod at localhost AManal]$ R CMD build MCMCglmm_2.05 * checking for file

Hi, I ran R (version 2.9.0) CMD build under root in Fedora (9). When it tried to remove "junk files" it removed EVERYTHING in my local account! (See below). Can anyone tell me what happened, and even more importantly if I can I restore what was lost. Panickingly, Jarrod [jarrod at localhost AManal]$ R CMD build MCMCglmm_2.05 * checking for file 'MCMCglmm_2.05/DESCRIPTION'

Hi, we are just about to evaluate R as a standard statistics package for our institute. We looked around the help - manual, the FAQ, etc. and did not find anything for the topics of random factors in ANOVA, repeated measures in ANOVA, or within subjects designs in R. Could anyone point us to any information concerning - univariate approach to repeated measures anova - multivariate

Hello list, I' d very much appreciate some help with a two sample repeated measures ANOVA. I did the analysis yielding sign. main effects (between subj.=site, within subj.=cover) and a sign. interaction: Univariate Type II Repeated-Measures ANOVA Assuming Sphericity SS num Df Error SS den Df F Pr(>F) site 18.7620 1 18.831 10 9.9631 0.010220 *

Hello, I plan to implement "Stack Smashing Protection - Strong" support in LLVM. Below is a description of this feature and an overview of the implementation plan. I have divided up the implementation into stages that can be delivered incrementally. I'm looking for any feedback (suggestions, requests, etc) before I actually begin the work. Thank you! Josh

Is there a function that calculates the power of a repeated-measure ANOVA design, e.g., 2 groups, 4 within-subject factors, an average 0.40 correlation between the 4 within factors, etc. I don't think I can use power.anova.test() because it does not consider corr=0.40. I am hoping that someone has already implemented the method by Muller & Barton (1989, JASA 84: 549-555) on how to

>Submitter-Id: current-users >Originator: Alex Vasylenko >Organization: >Confidential: no >Synopsis: [patch] net/rsync: problems in client name lookup code >Severity: non-critical >Priority: low >Category: ports >Class: sw-bug >Release: FreeBSD 4.8-RELEASE-p16 i386 >Environment: System: FreeBSD 4.8-RELEASE-p16 >Description: rsync does reverse name

Hi, sorry to bother you again, but I can't figure it out myself and I also can't find any in-depth documentation about it... Consider the following SAS code (A1II2... contain the measurements for 40 subjects): proc glm; model A1II2 A1IN2 A1NI2 A1NN2 = /nouni; repeated CONTEXT 2, TARGET_SATZ 2; title "A1 500-900 ms"; This produces not only the univariate ANOVAs, but also a

You normally see these errors when compiling on a vm that has very little memory. Hadley On Tue, Apr 19, 2016 at 2:47 PM, Ben Tupper <btupper at bigelow.org> wrote: > Hello, > > I am getting a fresh CentOS 6.7 machine set up with all of the goodies for R 3.2.3, including dplyr package. I am unable to successfully install it. Below I show the failed installation using

You are right about your interpretation of "dead". The case here is that RSP is a reserved register and so its liveness isn't really tracked. The "implicit-def dead" is an idiom used to mean that the register (reserved or not) is clobbered. The other implicit uses/defs can come from instruction definitions to indicate that this instruction uses and/or modifies a given