search for: 2x2x2

...something like the results of doing > class(Abortion) [1] "table" > dim(Abortion) [1] 2 2 2 > class(Mental) [1] "data.frame" > dim(Mental) [1] 24 3 > for all datasets in Item, giving a display like Item class dim Title Abortion table 2x2x2 Abortion Opinion Data Mental data.frame 24x2 Mental impariment and parents SES -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416 736-5115 x66249 Fax: 416 736-5814 4700 Keele Street Web: http://www.datavis.ca Toronto,...

I have a multidimensional array "a", for example, > a , , 1 [,1] [,2] [1,] 1 3 [2,] 2 4 , , 2 [,1] [,2] [1,] 5 7 [2,] 6 8 So a is 2x2x2. I have another array "b", for example, > b [,1] [,2] [1,] 9 11 [2,] 10 12 So b is 2x2. I want to "tack" b onto a so that b becomes a new "plane", so to speak, in a. In other words, I want the result c to be: > c , , 1 [,1] [,2] [1,]...

...be really grateful if you could suggest a way to go about this analysis in R, or a place where I could read about this. I considered: Pool data from all the sessions for a given condition and test together, thus getting 2000 repetitions of Test1 and Test 2 in each condition. Now I have a 2x2x2 setup, which maps on to something in Agresti, but then I am ignoring within-session correlation information. I could simply get a difference between Test1 and Test2 percentages for each session, and then compare the distribution of these differences in conditions A and B (with something like...

I need to calculate an index of predictive association, similar to Goodman and Kuskal's (1954) for a 2x2x2 array. I have two questions: 1) Is there an easy way to do this in R? (Of course, the answer to this kind of question is nearly always ``yes.'' Perhaps I should have asked, ``How can I do this in R?'') 2) Is it reasonable to try this with a 3-dimensional array? The way I thought of...

A question about comparing symptom reduction over time and across treatment groups. Each respondent is asked twice if they experience symptoms (coded 1), at baseline and then at 6 months later. They are randomly assigned to either the control or the intervention group. The 2x2x2 table below shows the frequency counts. As can be seen in the margins of the table, 21% of the control group show symptoms at baseline, then it reduced to 7% six months later; and 48% of the intervention group show symptoms at baseline, then only 4% at 6 month. The question is, given the in...

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), dimnames=list(strain=c("s1", "s2"),...

Hi all, We're playing around with new versions and uprading options. We currently have a 2x2x2 stripped-distributed-replicated volume based on 3.3.0 and we're planning to upgrade to 3.4 version. We've tried upgrading fist the clients and we've tried with 3.4.0, 3.4.1 and 3.4.2qa2 but all of them caused the same error: Failed to get stripe-size So it seems as if 3.4 clients are...

Can anybody, please, explain me how many parameter are estimated using randomLCA? For examples, model "dentistry.lca2random" estimate 1 scale (or variance, b_j) parameter and 2 position parameters (a_cj)? Doesn't it? Do I need at least 4 diagnostic tests for such a model? What happens if I specify options blocksize and byclass? How many diagnostic tests (or rater) I need?

Dear sirs, 1...........Kindly tell me is it possible to form a matrix which contains a no of matrices.. for eg.. if a,b,c,d are matrices.... and e is a matrix which contains a,b,c,d as rows and columns.. 2..........Is it possible to form array of array of arrays for eg.. "A" contains two set of arrays (1,2)...and each A[1] and A[2] individually contains two set of arrays I tried like

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]