similar to: ignoring some constants

Hi everyone, Could somebody explain to me what is the package/function for classification analysis. I am performing analysis of music files in the form of MIDI files. I end up with about 750 dependent variables from the analysis, I also have a number of independent/grouping variables that I set manually. What I would like is to be able to predict which group a particular MIDI files belongs to

Hi, Can someone tell me how to normalize a data set so that the mean of the set is 0 and the variance is 1. As I understand, when you calculate the principle components of a data set through correlation as < princomp( dataset, cor=T ) > then a similar calculation is performed. I would like to know how I can perform such a calulation directly. Any help would be greatly appreciated. Many

Hi all, I've been using the scatterplot3d function (from the scatterplot3d library) to create 3D plots. I was wondering whether there is anyway to group the points according to a particular group variable. For example I used the plot function as plot( factor( <GROUPINGVAR> ) , <PLOTVARS> ) to organise the results in a according to the grouping variable. I was wondering

Hi all, I am using the lda function from the MASS library to measure the discriminance of different variables with respect to different grouping variables by using lda( RESULTVARS[, 1:750] , GROUPVAR , tol=0 ) where RESULTVARS contains some 750 different variables. Occasionally there is a variable within RESULTVARS that has the same values for all values of GROUPVAR, ie no variance so

Hi, Could somebody explain to be the different between the panel and the subpanel parameter in the cloud function of the lattice library. I'm not sure when to use which. Thanks Rishabh -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hi all, I have a question regarding the anova function aov(). I want to perform an anova calculation using one grouping variable but more than one numerical variables: So instead of: aov(v ~ g) I want something like aov(v1 + v2 + v3 ~ g) Essentially I want to find out whether the variables v1, v2, v3, etc can collectively discriminate between different values of variable g. Could

Dear all, I am trying to create eps files of R plots (in Linux) so that I can import them into Word (obviously in MS Windows). What I would like is for the files to be cropped so that there is no margin around the actual plot, because I have no way of editing the files after they have been created. I have tried using par(mai=c(.75,.75,0,0)) in order to reduce the margin; it works fine when I

Hi all, I have a question regarding the boxplot function. The data I am working on has 1 grouping variable (G) and it has many numerical variables (V1, V2, V3, V4, Vx, etc). What I would like to do is create a boxplot where the Y-axis represents the numerical values of variable V1...Vx (all the variables have the same range). The X-axis needs to represent the G-V combination. So suppose the

Hi, I'm a newbie in R and don't much aobut all the modules and their capabilities, but I'm interested in solving a problem about a discriminant analysis done with SPSS tool. The thing is that I would like to make a discrimant analysis similar to the one done with SPSS, but I can't find the way to solve it. I've been playing with R and I can handle more or less my data,

Hi Rishabh, I think its better not to expose RankiList to Letor.h and make it better user friendly. So my suggestion is to convert RankList to the following statement in this method. std::map<Xapian::docid, double> letor_score(const Xapian::MSet & mset); So just convert the RankList in std::map<Xapian::docid, double> format in the methods where you need to return. Parth. On

Hello Rishabh, As per our previous discussion, we will talk each week now about the project. Please update the timeline/todo/journal accordingly so that we can check the status on this saturday for this week. Please remember that this half of the programme is smaller and hence we would need to be very punctual about the goals. Regards, Parth. -------------- next part -------------- An HTML

Hi Rishabh, As per our last progress meeting, I am off for some days and as now its the time to mid-term evaluation, it would be better to generate a progress report. For that, you should first commit the code as it is and then write 2 to 3 page summary explaining the deliverables so far and then the future plan. Tomorrow is the last day, so better by tomorrow morning, send this across and by

Hello Rishabh, The attached diff file should help you to refactor the existing letor code and plug in your code easily. I have defined the header files with the necessary flow. I have also specified the ranker class, which should be implemented by a new LTR models, ListNet and ListMLE in your case. The evaluation file should be used for validating the performance of the algorithm in the training

Hi All, I am currently trying to use R to perform some statistical discriminant analysis on a data set using ANOVA. I'm new to anova and R as well. As I understand it, ANOVA can be used to perform discriminant analysis by measuring the value of the f-test when given a data set with a grouping variable and the dependent variable. What I would like to do in R is perform ANOVA and extract the

Hi Rishabh, I took some time out in the recent days to work on the refactoring. And now it looks like I have included all the files necessary for the complete code. I am sure if it will be quite easy for you now to start with the new code. I would like you to complete it by implementing (copy/paste/little modification) some of the methods. https://github.com/parthg/xapian To make it easier,

Hi all, I was wondering, does R have a facility to extract datasets based on a string template. I know that you can do something like: X["a"] # extract from 'X' the dataset named 'a'. What I would like is something which says, from 'X' extract all the datasets that have an 'a': X[pat = "a"] I know that the 'pat' option can

Dear all, I am trying to do a n-fold cross-validation for a regularized discrimant function analysis using rda from the package klaR. However, I have problems to predict the groups from the test/validation sample. The exmaples of the R documantation and some online webpage also do not work. Does anybody know what I have done wrong? Here my code # I want to use the first 6 observations for

Hi all, I have been previously been using scatterplot3d package to create some graphs but unfortunately it does not allow me to rotate the plot on all three axis. The cloud() function in the lattice package does allow me to do so. When I was using scatterplot3d I was using a script (Shown Below) to calculate the mean, quartiles and range limits for all three axis and I was representing that on the

Hi Rishabh, I had this feeling before. This is a really nice idea BUT we can not go ahead with the project which is still not tested in the experimental settings. Though it may be a wonderful research exercise, I would still vote to go for the state-of-the-art methods which are completely published with full details and experimental results. Hope you get my point. Regards, Parth. On Wed, Apr 4,

Hi All R Users, I have a few questions, I'm sure that for most you they will be simple. 1. I am trying to write an object to a file. The dimensions of the object have name (by using dimnames(x) = ....). The problem is when I save that data to a file, the dimension name are not written, just the value. This is not very usefull since I am sorting the object first and if the dimension