similar to: Help in kmeans

I am currently working on a code which clusters attributes from a data set, then uses a linear regression model to predict NA values in the data set. The code works for almost all cases, but then errors out on a case that seems like it should work the same. This is the line of code that is giving me the problem: NewClusterData[j,att] <- predict(cl,newdata =

Hi R-helpers , can you please let me know the methods in which NULL values can be handled in R? Are there any generic commands/functions that can be given in a workspace,so that the NULL values occuring in that workspace (for any datasets that are loaded , any output that is calculated) , are considered in the same way? Thanks in advance. -- View this message in context:

Hi , I am using R 2.11.1 . I need to download few packages for the same for Windows.But in CRAN i see the latest packages for R 2.12.1 only. Can you help me out with the locations where i can find the packages for R 2.11.1 Windows zip? Thanks in advance -- View this message in context: http://r.789695.n4.nabble.com/R-packages-for-R-2-11-1-tp3178633p3178633.html Sent from the R help mailing

Hi, My data has column names which has ` character. For example , *> names(dataframe) [1] "`region" "farmsize`" "farmincome" "maincrop" "claimvalue"* If i use these objects in my function, the following error is thrown. *lmm<-lm(``region`~farmincome) Error: attempt to use zero-length variable name* Is there a way, say an escape

Hi, Our data has column names with spaces in that.The names in dataFrame are, *[1] "Sepal Length" "Sepal Width" "Petal Length" "Petal Width" "Species" * When i try to use the column names in rpart function, it gives the following error. * rp<-rpart(as.factor(`Species`)~`Sepal Length`) Error in `[.data.frame`(frame, predictors) :

Hi All, We are using the following dataset which contains UTF-8 characters and is stored in a MySQL database. When we use RODBC and read the data, the characters are read correctly.But when we read using RJDBC ,the characters are read like ???????????????????????????1 Can you please let me know how we can read the UTF-8 characters as it is done by RODBC. ID code Outlook Temperature Humidity

Dear all, I recently downloaded libvorbis from the Xiph.org website. I would like to compile it using a cross compiler because I would like to import it to the filesystem of an embedded machine. Hence, I tried to alter the CC of the makefile and change it to the directory of the cross compiler instead of the original gcc that was there. However, the change did not get implemented, and further to

Hi R-Helpers , am working on nnet package.Multinom() has an option for finding the goodness of fit by giving the AIC value. Does nnet also gives some value to determine the accuracy. If not, can you guide me with some procedure to figure out the accuracy/goodness of fit of nnet model? Thanks in advance. -- View this message in context:

Hi R-helpers, i am using the following dataset.This dataset is stored in a mysql database. W(x) pH(y) 10 1 15 1 20 4 5 7.5 3 13 9 5 11.5 13.5 3 16 2 1 9.6 1 I am using RJDBC package to read the data from the database into a dataFrame.The commands used are, jdbcDriver<-JDBC(driverClass="com.mysql.jdbc.Driver",

Dear Sir/Madam I have recently started using the nnet package but cannot find any documentation other than the one page titled 'nnet {nnet}' which is replicated several times over the internet and is found in the help file for this package. I would like more information on how to use the package and have searched extensively over the internet but cannot find anything more. Do you know of

Ok, that''s not the best subject line, but I couldn''t think of a concise way to describe what I''m trying to do. I''ve got two models. Grouping simply contains an id and a few other attributes (e.g. rating). A grouping can contain many elements which are stored the Element model. A set of elements is tied together by a grouping_id. An element can be one of

Hello all, I'm using the cloud function to plot the iris data as per the document: http://www.stat.ucl.ac.be/ISpersonnel/lecoutre/stats/fichiers/_gallery.pdf I'd like to change the point size to reflect a fourth variable, as done here http://www.cis.hut.fi/projects/somtoolbox/download/pics2/shotvs2_origdata.png Does anybody know how to do this? There doesn't seem to be an option in

Hi All, We have an application which uses R algorithms. We are currently using save() command to store models.But for save() command, we have to give the filename.But, in our application, we cannot afford to save it in any specific location. In this case , for accessing the models generated in R , we cannot use the save() command since, save () stores the pmml in local file. Is there any way

Hi all, I am trying to develop a neural network with single target variable and 5 input variables to predict the importance of input variables using R. I used the packages nnet and RSNNS. But unfortunately I could not interpret the out put properly and the documentation of that packages also not giving proper direction. Please help me to find a good package with a proper documentation for neural

Hi R-helpers, I am using rpart package for decision tree using R.We are invoking R environment through JRI from our java application.Hence, the result of R command is returned in REXP and we use geterrMessage() to retrieve the error. When we execute the following command, cnr_model<-rpart(as.factor(Species)~Sepal Length+Sepal Width+Petal Length, method="class",

Dear All, Is there any existing code for plotting silhouette for kmeans clustering results? Many thanks! Linda [[alternative HTML version deleted]]

Dear R, Can't I cluster a dataset into k clusters where k is exactly the number of observations? I have version 12.2 installed. See this example > a <- matrix(1:100, 20) > kmeans(a, 20) Error: number of cluster centres must lie between 1 and nrow(x) This is a bit ad-hoc but I known R from version 2.12 allows number of clusters to be one. So I guess allowing number of clusters to be

Dear helpers I'm sorry to insist but I still think there is something wrong with the function kmeans. For instance, let's try the same small example: > dados<-matrix(c(-1,0,2,2.5,7,9,0,3,0,6,1,4),6,2) I will choose observations 3 and 4 for initial centers and just one iteration. The results are > A<-kmeans(dados,dados[c(3,4),],1) > A $cluster [1] 1 1 1 1 2 2 $centers

I am trying to cluster some binary data using k-means . As the regular "kmeans" available from stats package in R does'nt provide the option to change the distance method. I was wondering there is any package available to specify type of distance measure to be used in k means clustering in R. Especially distances like "Jaccard" which is good for binary data.

Hello, I have been trying for a few days to do kmeans on a matrix of data which I populate from java. Here's my code: String[] Rargs = {"--vanilla"}; Rengine re = new Rengine(Rargs, false, null); System.out.println("Rengine created, waiting for R"); // the engine creates R is a new thread, so we should wait until it's // ready if