similar to: Several Lattice plots in one Plot

Hello colleagues, I have tried to use the package bigmemory, biganalytics and biglm. I want to specify a multivariate regression with a weight. I have imported a large dataset with the library(bigmemory). I load the library (biglm) and specified a regression with a weight. But I get everytime an error message like "object not found" or "`weights' must be a

Hello, I have trouble converting a character string to a R object. Let me describe this by an example; > dim(a) [1] 270 14 > dim("a") NULL > names(a) [1] "Var1" "Var2" "Var3" "Var4" "Var5" "Var6" "Var7" "Var8" "Var9" [10] "Var10" "Var11" "Var12"

Seems like get() is what you are looking for; e.g., try dim(get("a")), names(get("a")), etc. HTH, Andy > From: Sixten Borg > > Hello, > > I have trouble converting a character string to a R object. > Let me describe this by an example; > > > dim(a) > [1] 270 14 > > dim("a") > NULL > > > names(a) > [1]

I have data in the following list format: USER,VARIABLE,COUNT user1, var1, 3 user1, var2, 4 user2, var1, 7 userN, var12, 5 And would like to have it format as a matrix: var1 var2 var12 user1 3 4 user2 7 userN 5 What is the suggested method to do this for 1 million rows, with 12 variables and ~ 4,000 unique users? Thank you, Tim Stutt tim@ischool.berkeley.edu [[alternative

I am trying to Sweave the output of calculating correlations between one variable and several others. I wanted to print a table where the odd-numbered rows contain the variable names and the even-numbered rows contain the correlations. So if VarA is correlated with all the variables in mydata.df, then it would look like var1 var2 var3 corr1 corr2 corr3 var4 var5

Hi, Is it possible to create new vars in a loop For instance: for (i in 1:11) var'i' <- assign something output = var1 var2 ... var11 Is there a way to combine/join the value of 'i' to the string/char var in de loop. -- View this message in context: http://www.nabble.com/join-chars-in-loops-tp16895854p16895854.html Sent from the R help mailing list archive at

Hello, I have a large data set that has more columns than rows (sample data below). I am trying to perform a partitioning cluster analysis and then plot that using pca. I have tried using CLUSPLOT(), but that only allows for 'princomp' where I need 'prcomp' as I do not want to reduce my columns. Is there a way to edit the CLUSPLOT() code to use 'prcomp', please? #

I've only begun investigating R as a substitute for SPSS. I have a need to identify for each CASE the closest (or most similar) 5 other CASES (not including itself as it is automatically the closest). I have a fairly large matrix (50000 cases by 50 vars). In SPSS, I can use Correlate > Distances to generate a matrix of similarity, but only on a small sample. The entire matrix can not

Hi, my problem sounds simple but I've been trying and looking for a solution, but just can not find out how to solve it. I have a dataset and want to do a GAM with binomial link function, random effects (for individuals as there are severeal measurements for everyone) and a time-spline. For this purpose I used the lmer-function from lme4 package. My code looks like this: mod <-

Hi, anybody have any ideas on this ? I have two sequences of proportions. Due to conventions in my field, I need to produce a linear correlation between the two. Each sequence of proportions are based upon differing numbers of observations (although within a sequence the number of observations may not fluctuate too much) so it may be necessary/advisable to variance stabilize. Is their a best

Hi, I need your help :: what i the meaning of this error message"Missing value where true / false needed??" Thank you [[alternative HTML version deleted]]

Hi all, The C++11 (& C11) compare_exchange functions with explicit memory order allow you to specify two sets of semantics, one for when the exchange actually happens and one for when it fails. Unfortunately, at the moment the LLVM IR "cmpxchg" instruction only has one ordering, which means we get sub-optimal codegen. This probably affects all architectures which use