similar to: k-means cluster and plot labels

Hi, I would like to display inter-parameter scatter plots like those with the corrgram package (see upper triangle here: http://www.statmethods.net/advgraphs/images/corrgram2.png ), just that I would like to plot two datasets instead of one. Say one with black and one with red dots. Or a merged dataset where an indicator column is used to assign different colors to particular dots - with still

Hi, Thanks Sarah. Unfortunately I did not get a step further. My question, perhaps a bit clearer, is how to display the case control status (or any other arbitrary point label) after clustering in a plot: With a bit of pseudo code, where dataset is a data.frame, parameters are those column names where we find numerical values (no NAs) and nclasses is the desired number of classes. fit <-

Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows: flags <- c(rep(1, length(patient_indices)), rep(0, length(control_indices))) # dataset is a data.frame and param the parameter to be analysed: data1 <- dataset[,param][c(patient_indices, control_indices)] fit1 <- glm(flags ~

Does anyone know of an R interface to Christian Borgelt's implementation of the FP growth algorithm? thanks a lot Rob Tibshirani -- I get so much email that I might not reply to an incoming email, just because it got lost. So don't hesitate to email me again. The probability of a reply should increase. Prof. Robert Tibshirani ?Depts of Health Research and Policy, and Statistics

I need to use entropy based feature selection to reduce term space while doing text classification. Are there any R packages available that would help me do this? I can also make do with chi squared based algorithm, if there are packages for that. Thanks in advance. Andy -- View this message in context: http://r.789695.n4.nabble.com/Entropy-based-feature-selection-in-R-tp3708056p3708056.html

As a big fan of Wikipedia, it's frustrating to see how little there is about R in the correlated project, the Wikibooks: http://en.wikibooks.org/wiki/R_Programming Alberto Monteiro

Hello, Does R have any capabilities (or are there any add on packages) which can do estimation of standard statistical models (means, regression, logistic regression, etc) which take into account not only weights (e.g. post-stratification weights) but also the sample design, such as stratification and clustering information (to compute a robust taylor linearized variance estimator, for

Hello, (This is a newbie question. I skimmed though the mailing list archive to try to find the answer, but didn't find anything. Maybe I'm just not looking for the right thing.) Are there any tools that could be used to convert a series of frames (stored as JPEG's or something), for a movies, into a Theora file? TIA See ya -- Charles Iliya Krempeaux, B.Sc. charles @

Hi all I am hoping to use the SamplingStrata R package for a dataset describing a population of businesses wherein I have information on the type of business, as well as, for designated employment number bands, number of employees and business turnover information. So in this context the employment number bands can be described as micro, small, medium and large, i.e. size of business. Hence I

I want to draw boxplot where the geom_points are displayed based on "ERBB2.MUT" subset and they should be displayed in the right box (based both on the "ERBB2.2064" field and "ERBB2_Status"). However, given my command I currently only see "red" points corresponding to "MUT" subset in one straight line corresponding to only "ERBB2.2064"

Hi, Working with apache-sshd I found that it forces ~/.ssh/config to be owned by user without group/others permissions. It failed for me within my valid openssh environment. Within sources (readconf.c::read_config_file), I found that openssh only enforces ownership by user and not group/others write. When I opened an issue, I was referred to this[1] wiki page (not sure who maintain it) claiming

1. There is no question here. 2. In any case, this is not a code writing service, so a question about how to code models without any offering of your own attempts might not be replied to anyway. 3. For what sorts of queries you might expect replies to, please read and follow the posting guide below. Also, if you do post, please post in plaint text, not html, as the latter (especially code) can

Hi R-users!! I have some trouble with the survey pakage and i would be very glad if you can give me an advice. I have a sample from a survey where household were interviewed. The sample has 4 criteria on which the stratification was based: REGION, SIZE OF HOUSEHOLD, SIZE OF LOCALITY, AGE OF HEAD OF HOUSEHOLD. Since i don't have the whole information in each cell of the cross

Hi Bert thank you for the reply. Not a coding query as such. Just wanted some pointers towards how to handle strata using the package in my situation, i.e. business type X business size with information for count and financial turnover. many thanks On 31 October 2017 at 14:37, Bert Gunter <bgunter.4567 at gmail.com> wrote: > 1. There is no question here. > > 2. In any case, this

Terry - your example didn't demonstrate the problem because the variable that interacted with strata (zed) was not a factor variable. But I had stated the problem incorrectly. It's not that there are too many strata terms; there are too many non-strata terms when the variable interacting with the stratification factor is a factor variable. Here is a simple example, where I have

Terry - your example didn't demonstrate the problem because the variable that interacted with strata (zed) was not a factor variable. But I had stated the problem incorrectly. It's not that there are too many strata terms; there are too many non-strata terms when the variable interacting with the stratification factor is a factor variable. Here is a simple example, where I have

Dear WizaRds, having met some of you in person in Vienna, I think even more fondly of this community and hope to continue on this route. It was great talking with you and learning from you. Thank you. I am trying to work through an artificial example in post stratification. This is my dataset: library(survey) age <- data.frame(id=1:8, stratum=rep(

Hi R-users, Can anyone tell me where can i find info about they way how post stratification weights are calculated when i have an already stratified survey design, especially in Survey Package (but any theoretical material would do me just fine) ? Thank you and have a nice day! --------------------------------- [[alternative HTML version deleted]]

Using R version 1.8.1 for Windows, I obtain an error message using the following code. The data frame was constructed in the counting process style, where V1 is the start time, V2 is the stop time, and V3 is the censoring indicator. There are no zero-length time intervals. Variable V4 is the stratification factor (gender: F,M). S<-Surv(V1,V2,V3) fit<-survfit(S ~ V4,data=test.dat)

On 09/11/23, Marian Beermann (public at enkore.de) wrote: > ... while OpenSSH does support using a CA in conjunction with hostbased > authentication, it still requires a list of all authorized host names in the > rhosts / shosts file. I'm not familiar with the use of .rhosts/.shosts, but I don't think those are needed at all with a machine or per-user known_hosts file/files