similar to: What is the most cost effective hardware for R?

Hi all, I have a question, is there any R package dealing with latent transition analysis with both categorical and continuous indicators? So far what I found from GOOGLE are only packages dealing with latent class analysis. So what about the longitudinal situation? Any way we could look at the transition from one class to another across time points? Thank you very much. ya [[alternative

Hello, Im trying to create a heatmap with a dataset (38 x 15037) but get the error below: Error: protect(): protection stack overflow Execution halted or Error: C stack usage is too close to the limit Execution halted I tried to increase the stack size by changing: extern uintptr_t R_CStackLimit but my systems manager said that R by default uses all the memory available to it from the

Hi everyone, Does anyone here has experience using MICE to impute missing value? I am having problem to pool the imputed dataset for a MANOVA test, could you give me some advice please? Here is my code: > library(mice) >

Hello again, I'd like to determine if an Excel file is open or writable. Can anyone help me with that? I write some stats to an .xlsx Excel file using the xlsx package. I can't write to the file unless its closed. How do I determine if the .xlsx file is open or closed so I can write to it? I've looked at file.info and file.access and I couldn't get those to work for me. Any

I am trying to merge two data frames, but one of the column headings are different in the two frames. How can I rjoin or rbind the tho frames? Johnny # Generate 2 blocks by confounding on abc d1 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk",

How do I remove a "$" character from a string sub() and gsub() with "$" or "\$" as pattern do not work. > sub("$","","ABC$DEF") [1] "ABC$DEF" > sub("\$","","ABC$DEF") Error: '\$' is an unrecognized escape in character string starting "\$" >

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

Hi, Is it possible to read, say 100 dat files in one time? I want to combine these 100 data set into one single dat file. Any suggestions? Thank you very much. ya [[alternative HTML version deleted]]

Hi, I need to construct a formula programaticly, and pass it to a function such as the linear mixed model lme. The help says it requires "a two-sided linear formula object describing the fixed-effects part of the model" but I do not know how to create this formula. I have tried various things using formula(x, ...), as.formula(object, env = parent.frame()) and as.Formula(x, ...)

Hi list, I am wondering if there is a way to use EM algorithm to handle missing data and get a completed data set in R? I usually do it in SPSS because EM in SPSS kind of "fill in" the estimated value for the missing data, and then the completed dataset can be saved and used for further analysis. But I have not found a way to get the a completed data set like this in R or SAS. With

Hi everyone, I am trying to get the factor score for each individual case from a principal component analysis, as I understand, both princomp() and prcomp() can not produce this factor score, the principal() in psych package has this option: scores=T, but after running the code, I could not figure out how to show the factor score results. Here is my code, could anyone give me some advice please?

Hello, Earlier I posted a question about memory usage, and the community's input was very helpful. However, I'm now extending my dataset (which I use when running a regression using lm). As a result, I am continuing to run into problems with memory usage, and I believe I need to shift to implementing the analysis on a different system.. I know that R supports R servers through

Hello there! I am still struggling with a binomial response over all categorical variables (some of them with 3 levels, most with 2 levels). After initial struggles with glm's (struggle coming from the data, not the actual analysis) I have decided to prefer contingency tables. I have my data such as: response:

Dear list, I am trying to impute the two level data, I have a question about a warning. Could you give me some suggestions please? Thank you very much. Here is my code and output of mice package: > ini <- mice(try, maxit=0) > pred=ini$pred > pred FAC1_1 FAC2_1 FAC3_1 FAC4_1 FAC5_1 FAC6_1 FAC7_1 FAC8_1 FAC9_1 FAC10_1 ClassSize_1 ClassSize_2 ClassSize_3 intercept

Hello all, I am trying to apply a conjoint analysis in order to determine the best profile that captures the most preferred combination of levels of given categorical factors. For this a set of factors is given and initially a fractional factorial design has to be produced as a subset of all possible factor levels combinations, sufficient to estimate the main effects utilities. Then the

Hi, Which is today, according to you, the most cost effective and Asterisk friendly T.38 ISDN-PSTN gateway for someone looking to build enterprise class services ? I've been thinking of Audiocodes, Mediatrix, Cisco boxes but PCI cards inside Linux computers would either be OK from me. The capacities I'm looking for are : - SME range: 1 x BRI and a couple of simultaneous fax calls -

Hello folks, Any ideas how to do this? data.frame is a data frame with column names "x1",...,"xn" y is a response variable of length dim(data.frame)[1] I want to write a function function(y, data.frame){ lm(y~x1+...+xn) } This would be easy if n was always the same. If n is arbitrary how could I feed the x1+...+xn terms into lm(response~terms)? Thanks Richard -- Dr.

Hola a todos, alguien que ya tenga en sus manos esos libros y/o otros más sobre todo sobre estadística descriptiva, inferencial, minería de datos y big data, o cualesquiera de R y que aunque haya pagado la ostia, no le importe compartirlo conmigo que no tengo la posibilidad de pagar por ellos, por favor, le estaría eternamente agradecido. Fraternalmente, Nivaildo. ----- Mensaje original -----

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