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Hello all, could you tell wehere I can find information related to MCMC (Monte Carlo). And some examples about this topic. Thanks, Tania [[alternative HTML version deleted]]

Hello R, could you tell me please, how to fix this issue? There is installed RStudio-2.15.2 and the next steps where follow but the message appears: http://cran.r-project.org/web/packages/RMySQL/INSTALL): > > 1. Download the RMySQL_0.9.tar.gz file to the folder C:\Program > Files\R\R-2.15.1\bin\x64 > 2. Open a Windows command line, and change directory to that folder > 3.

Hello all, could you tell where is an example of metropolis hasting? Thank you! Tania Sent from my iPod

Hola, si tengo estas dos funciones de distribucion y quiero en una grafica verla, como le hago en R? [image: Imágenes integradas 1] Cual es el comando en R para graficar estas funciones? Saludos, Tania ------------ próxima parte ------------ Se ha borrado un adjunto en formato HTML... URL: <https://stat.ethz.ch/pipermail/r-help-es/attachments/20121215/7d185b91/attachment-0001.html>

Hola R, tengo las siguientes preguntas: Pregunta 1: Cargar las tablas de los datos de peliculas en R usando `ff`. Cómo se construye una columna nueva que de, para cada cliente y cada evaluación, de el número de días que han pasado desde la primera evaluación del cliente? Qué función se utiliza para verifica el consumo de memoria en las operaciones? Pregunta 2: Cómo se corre un modelo de

Hello all, could you explain to me how to create a tree in R, and if you can explain every line of code that will be great. Which are the libraries that are needed and where I can find more examples. Thank you! Tania [[alternative HTML version deleted]]

Hi I have a large dataset, containing a wide range of binary variables. I would like first of all to compute a jaccard matrix, then do a PCA on this matrix, so that I finally can do a hierarchical clustering on the principal components. My problem is, that I don't know how to compute the jaccard dissimilarity matrix in R? Which package to use, and so on... Can anybody help me? Alternatively

Hi, I am new to R and I need to perform multiple chi-square tests. I manage to perform one at a time, but is there a specific command to do multiple tests? For example, I have a table that looks like this: Marker Treatment Genotype1 Genotype2 Genotype3 1 A 23 57 32 1 B 43 59 12 ... ... n A ## ## ## n

Hello all, could you tell me if there is an example like this one that appears on the next link: http://www.inside-r.org/packages/cran/bootstrap/docs/scor related to the Open/Closed Book Examination Data but in R version 2.15.2 ? Because I search the data(scor) on the environment R version 2.15.2 and there is not. Thanks, Tania ; ) [[alternative HTML version deleted]]

Hello, somebody can explain how to create dispersion graphic, because i need to put this dispersion graphics inside a matrix. The data is the next one: 2 test (mechanics and vector) open book. 3 test (algebra, analysis y statistics) closed book. Also could you explain which is the use of scor(bootstrap) And how can be used for create a matrix of graphics? Thanks, Tania [[alternative

Good morning, I am analyzing a dataset composed by 364 subjects and 13 binary variables (0,1 = absence,presence). I am testing possible association (co-presence) of my variables. To do this, I was trying with cluster analysis. My main interest is to check for the significance of the obtained clusters. First, I tried with the pvclust() function, by using method.hclust="ward" and

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

Dear all, I have a collection of 5000 entries which represent the evolutionary rates of 3 animals. I would like to show the differences between the rates of all 3 animals and have tried using the function parallel (from the lattice package) and pairs() function. The parallel function would have been perfect save for the large number of data (5000). The pairs() function doesn't show

Dear all, I am a newbie in R and need some help please. (I do apologise if my email is not as informative as it should be, I've tried to include the relevant details without overcrowding it with the rest of the code) I would like to sample (without replacement) Y objects based on the number of objects in X in 5 different bins. I'm having trouble because the list object in which

Dear All, It's Eszter again from Hungary. I could not solve my problem form yesterday, so I still have to ask your help. I have a binary dataset of vegetation samples and species as a comma separated file. I would like to calculate the Jaccard distance of the dataset. I have the following error message: Error in rowSums(x, prod(dn), p, na.rm) : 'x' must be numeric In addition:

---------- Forwarded message ---------- From: <r-help-owner@r-project.org> Date: 2013/2/8 Subject: vegdist Error en double(N * (N - 1)/2) : tama?o del vector especificado es muy grande To: caro.bello58@gmail.com Message rejected by filter rule match ---------- Mensaje reenviado ---------- From: caro bello <caro.bello58@gmail.com> To: r-help@r-project.org Cc: Date: Fri, 8 Feb 2013

Dear All, I do apologise if this question is out of place for this list but I've tried searching mailing lists and read "Introductory Statistics with R" by Peter Dalgaard, but couldn't find any hints on solving my question below: I have a data frame (d) of values which I will rank in decreasing order of "val". Each value belongs to a group, either 'A',

I have read everything I can find on how to manipulate a results matrix in R and I have to admit I'm stumped. I have set up a process to extract a dataset from ArcGIS to compute a similarity index (Jaccards) in Vegan. The dataset is fairly simple, but large, and consists of rows = sample area, and columns = elements. I've been able to view the results in R, but I want to get the results

Dear all, I want to read in 1000 files which contain varying number of columns. For example: file[1] contains 8 columns (mixture of characters and numbers) file[2] contains 16 columns etc I'm reading everything into one big data frame and when I try rbind, R returns an error of "Error in rbind(deparse.level, ...) : numbers of columns of arguments do not match" Below is my

Hello all, do you know how to mix three different classification techniques using R. For example if I have lm regression, svm and neural nets how can I mix them to have something like ensemble learning? Thank you, Tania Sent from my iPod