search for: cmhr

...(). Does anyone have a suggestion as to how to deal with this error? The analysis works fine when there are only 32 variables. Thanks, Simon. Simon Blomberg, PhD Depression & Anxiety Consumer Research Unit Centre for Mental Health Research Australian National University http://www.anu.edu.au/cmhr/ Simon.Blomberg at anu.edu.au +61 (2) 6125 3379

...form gls(response~A*B*C, data=dat, correlation=corSymm(...?)) but I don't understand the arguments to corSymm. Thanks in advance, Simon. Simon Blomberg, PhD Depression & Anxiety Consumer Research Unit Centre for Mental Health Research Australian National University http://www.anu.edu.au/cmhr/ Simon.Blomberg at anu.edu.au +61 (2) 6125 3379

Could anyone please explain how to set up contrasts between means in R. I want to know if "before I conduct an experiment and believe the mean for 1 and 2 will be different from means 3 and 4, Is this true?" That is what I have to prove or disprove, I thought that contrasts would be the way to go. Thanks for the help. Igor [[alternative HTML version deleted]]

Hello, My name is Rodrigo, I am using R program and I have a trouble. I am trying to do a dendrogram with genetics information. Let me explain... The Similarity Matrix was already did, and with this matrix I want to construct a dendrogram. So, the distance is done. I need to transform this matrix (that I have) in a dendrogram, I woud be very grateful if someone could help me. PS: I am sending

Hello, can anyome tell me how to access the full script of the panel.smooth function so that I can change the thickness of the smoothing line or its colour ? All I could access is : > panel.smooth function (x, y, col = par("col"), bg = NA, pch = par("pch"), cex = 1, col.smooth = "red", span = 2/3, iter = 3, ...) { points(x, y, pch = pch, col = col, bg =

I am looping over many data files and reading in the data with F <- read.table(filename) to read in a 22000 by 15 matrix. Works fine on the first matrix F, but I get the following error when the second file is read into F: Error in "row.names<-.data.frame"(*tmp*, value = row.names) : duplicate row.names are not allowed I have tried picking a column of the matrix and

dear group members, I am looking for a function that assess the stability of cluster. The result of hclust function is an hclust object which can be plot as a dendrogram. However to have confidence in the tree topology usualy bootstap is applied. I understand that I can apply bootstarp on the original data and then run hclust(dist() ) as much as I resampled but how to comapre the topologies the I

Hi, I'm probably being dense, but could somebody tell me how I can get tick marks on the axes of my wireframe plot to show up? This gets me a beautiful looking plot, but no ticks: wireframe(z ~ x * y, data, drape=T, colorkey=F) Thanks in advance, -James [[alternative HTML version deleted]]

I would appreciate some advice on the following task. I have some data that currently looks like this: t1 <- data.frame(id=c(1,1,2,2), aspect=c("A","B","A","B"), score=c(10,9,11,12)) I'd like it to look like this: id A B 1 10 9 2 11 12 reshape() looks like a good candidate for this job but I'm not really sure about the roles of

...y off beam here? Can anyone suggest a more appropriate lme call? The more I think about it the more confused I get. Thanks in advance, Simon. Simon Blomberg, PhD Depression & Anxiety Consumer Research Unit Centre for Mental Health Research Australian National University http://www.anu.edu.au/cmhr/ Simon.Blomberg at anu.edu.au +61 (2) 6125 3379

...You'd think that, but you would be wrong. :-). To add a NULL object to the front of a list: c(list(NULL), object.list) Cheers, Simon. Simon Blomberg, PhD Depression & Anxiety Consumer Research Unit Centre for Mental Health Research Australian National University http://www.anu.edu.au/cmhr/ Simon.Blomberg at anu.edu.au +61 (2) 6125 3379

Hello I was wondering if it was possible to enter R commands from an external text file. If it is possible, it will be easy for repetetive tasks. Does anyone have an idea ? thanks in advance Ahmet Temiz TURKEY ______________________________________ ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

Hi, Can someone set me straight as to how to write formulas in R to indicate: complete independence [A][B][C] joint independence [AB][C] conditional independence [AC][BC] nway interaction [AB][AC][BC] ? For example, if I have 4 factors: hair colour, eye colour, age, sex does > mosaicplot( frequency ~ hair + eye + age + sex) mean that the model fitted is of complete independence of

Dear all, So far i could do (in an informal way) to draw a Standardized Resisual plot in the following way- --------------------- >x <- c(104.1, 106.6, 105.5, 107.5, 109.6, 113.3, 115.5, 117.7, 119.9, 122.1, 124.3, 126.5, 128.2) >y <- c(53732, 52912, 57005, 61354, 67682, 71602, 71961, 75309, 82931, 93310, 102161, 103068, 108927) >

Hi R helpers, I was wondering if anybody knows if is possible to generate bootstrap values for a cluster analysis in R. What I am trying to do is obtain some confidence on the clusters formed by resampling the data set. A similar type of analysis is used in molecular taxonomy and the confidence values of each cluster are placed in the nodes of the dendogram. Any ideas on how to do this

I got a shock a few days ago when I accidentally visited www.r-project.com . I thought that the r-project site had been hacked until I realised my mistake. There is also a site www.r-project.net. Both of these sites appear to be Japanese. Does anyone know anything about them? I suppose that it is not unusual for names close to those of popular sites to be used. It is good that they use a

Forgive me please if this has been answered previously, but the r-help archive doesn't have a "search" capability. It's a pity, as I'm sure that there's a wealth of informative help in there. I am unable to get the "cloud" function to produce a fundamental 3D scatterplot. I have a 3-column numeric matrix: >is.matrix(sanity.MIF); is.numeric(sanity.MIF);

Dear R People: Is there a library for Multivariate time series, please? For some reason, I'm thinking that Dr. Paul Gilbert may have one? R Version 1.6.2 (i've updated!) for Windows Thanks so much! Sincerely, Erin Hodgess University of Houston - Downtown mailto: hodgess at uhddx01.dt.uh.edu

...tell me where I have gone wrong? Is there an alternative approach? Or am I thinking about this problem in the wrong way? Thanks in advance, Simon. Simon Blomberg Depression & Anxiety Consumer Research Unit Centre for Mental Health Research Australian National University http://www.anu.edu.au/cmhr/ Simon.Blomberg at anu.edu.au +61 (2) 6125 3379

Hi all, I'm currently working with a dataset that has quite a few missing values and after some investigation I figured that multiple imputation is probably the best solution to handle the missing data in my case. I found several references to functions in S-Plus that perform multiple imputation (NORM, CAT, MIX, PAN). Does R have corresponding functions? I searched the archives but was not