similar to: Two-ways anova / interaction

Hello dear R members. I have been learning the Anova syntax in order to perform an SS type III Anova with repeated measures designs (thank you Prof. John Fox!) And another question came up: where/what are the (between/within) residuals for my model? ############ Play code: phase <- factor(rep(c("pretest", "posttest", "followup"), c(5, 5, 5)),

Hello!!! I'm trying to do multiple ANOVA tests with R (testing the affect off different factors on the same response). As a result I get many ANOVA tables, and I want to extract a list of the "Pr(>F)" from all the tables. Maybe someone have an idea how to do this? Thanks Imri -- View this message in context:

(Have searched for this already) Hi, How do you find the strength of correlation between two variables using an ANOVA table? "Pr(>F)" gives the statistical significance of the association, but not the strength of the correlation. See data (from R) below Readable: "Df" "Sum Sq" "Mean Sq" "F value"

I have the attached data set (csv) and I want to run an analysis of variance on the wingsize data (comparing infected vs non-infected) within and between experiments. Can anyone help me with the command I should use? Many thanks Georgina PhD Student Division of Infection and Immunity B5-29, GBRC 120 University Place Glasgow G12 8TA Tel: 0141 330 5650

dear all, i'm trying to reproduce an spss-anova in R. It is an 2x3x3 repeated measures desingn with repeated contrasts. In R i've coded a contrast matrix for all factors and made a split in the aov summary - but I can't get the repeated interaction contrasts. The output from SPSS looks like this: TaskSw * CongNow * CongBefore: SS df Mean Square F Sig. 1 vs. 2 1 vs. 2 1 vs. 2

Hi, I don't quite understand what are the return values of aov. I know that it has 'coefficients'. But I need to know what all the other return values are. Can somebody let me know how to figure them? Value: An object of class 'c("aov", "lm")' or for multiple responses of class 'c("maov", "aov", "mlm",

Hi all, I am trying to run a two factor anova, but one of the factors is a random factor, now I am also running in SPSS and it seems its dividing by the wrong term to get the appropriate F term. here is my data. In SPSS the F scores about double the ones in R, how can I specify one of my factors as a random factor or change it to where it does the right model fitting? I am using the lm command

Hi, I am performing a repeated measures 2-way ANOVA to assess the influence of plant and leaf on aphid fecundity. Fecundity is measured for each aphid on a single leaf. Here is what I typed. wingless <- reshape(Wingless, varying =

Hello everyone, I am doing an analysis on some data for a project, and do not have much background in either R or statistics, but have been pointed in the direction of doing ANOVA and then multiple comparisons on the data to give me the information I need. I was wondering if some of you could help me out. What I want to do is to do ANOVA on a data set like the following: ID G1 G2 G3 NG1 NG2

Dear list, i am a biologist who needs to do some ttest between disease and non disease, sex, genotype and the serum levels of proteins on a large number of individuals. i have been using excel for a long time but it is very tedious and time consuming. i am posting the data below and ask your help in generating a code to get this analysis done in R. thanks gender disease genotype data M N CC

Hi all, I'm doing a 3-way ANOVA like this: summary(aov(formula('FP ~ (lum * obj * man)3 - Error(vp/(lum * obj * man)3)'),data=dataf)) But in the output I only get 1- and 2-way effects, like this one: Error: vp:obj:man Df Sum Sq Mean Sq F value Pr(>F) obj:man 1 1.5291e-34 1.5291e-34 5.7011 0.0542 . Residuals 6 1.6093e-34 2.6822e-35 --- Signif. codes: 0 '***' 0.001

Dear R-list members, I've been struggling with the proper setup for analysing my data. I've performed a route choice experiment, in which participants had to make a choice at each junction for the next road. During the experiment they received traffic information, but also encountered two different accidents. They also made trips without accidents. What I'm interested in is to

Hello dear R-help mailing list, A friend of mine teaches a regression and experimental design course and asked me the following question. She is trying to find a way to display the "homogeneous groups" (after performing tukey test on an aov object). here's an example for what she means by "homogeneous groups": She did one way anova and got these results for tukey test:

I am conducting an experiment where students are put into 5 total groups (one is the control group). They are given a task and then I'm measuring if there are differences (A 5 X 1 between-subject design will be used for the experiment). I'm a little confused on the data explanation (or should I say how do I explain what is being analyzed versus just comparing values) Any help?

I created a 2 D plan: > plot(range(-2.5,0.95),range(0.00,1.00),type="n",axes=TRUE) I made a projection of points with their coordonates (X,Y) in that plan > fullpoints=read.csv2("fullpoints.csv",h=T) > plot(fullpoints) The points are listed in that .csv file it is organized this way: 0,48875 0,142857143 0,409 0,142857143 0,45611 0,25 0,49833 0,222222222 0,61158

Hello dear R-help group. My task looks simple, but I can't seem to find a "smart" (e.g: non loop) solution to it. Task: I wish to randomize a data.frame by one column, while keeping the inner-order in the second column as is. So for example, let's say I have the following data.frame: xx <-data.frame(a= c(1,2,2,3,3,3,4,4,4,4) , b =

Hello R help members. I came across today with an article on Barnard's exact test (http://www.cytel.com/Papers/twobinomials.pdf), that is supposed to give a more powerful fisher.test - Because it doesn't assume that we know the row and column totals are in advance. Any pointers to such a function ? Thanks, Tal -- ---------------------------------------------- My contact information:

Hi All, I am new comer here and for Statistics R. I want to know how to use R to calculate one way repeated measure ANOVA, for example, on three groups of data. I appreciate if someone can help me solve this problem. John

Hi everyone, I'm having a little trouble with working out what formula is better to use for a repeated measures two way anova. I have two factors, L (five levels) and T (two levels). L and T are both crossed factors (all participants do all combinations). So, I do: summary(aov(dat~L*T+Error(participant/(L*T)),data=dat4)) But get different results with:

*(note*: This is an R community question, not a statistical nor coding question. Since this is my first time writing such a post, I hope no one will take offence of it.) Hello all, I will be attending useR 2009 next week, and was wondering if there are any of you who are *bloggers *intending to participate and report on useR 2009? If so - I would love to know your blogs URL so as to follow you.