similar to: how to read/write tables in xml

Dear Lister, plot() is using the data range as the default limits of yaxis. Is there any way I can change the limits? I just look at the help of plot() and par() and couldn't find answers. Thanks. -- WenSui Liu (http://spaces.msn.com/statcompute/blog) Senior Decision Support Analyst Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center

Dear Listers, Is there any good paper about how to use R together with VB? Thank you so much! -- WenSui Liu (http://statcompute.blogspot.com) Senior Decision Support Analyst Cincinnati Children Hospital Medical Center [[alternative HTML version deleted]]

Dear Lister, I understand merge() can be used to join 2 data frames based on 1 variable. But how about merge based on more than 2 variables? Thank you so much! -- WenSui Liu (http://spaces.msn.com/statcompute/blog) Senior Decision Support Analyst Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center [[alternative HTML version deleted]]

Dear Listers, My post might be somewhat OT. Currently, I am trying to use flexmix to build a finite mixture model. For instance, I am getting the prior probability and coefficients for each latent class from training data. Is there a way to get the posterior probablity and prediction of a new dataset? What I am thinking is to apply the prior prob and coefficient from training set to testing data

Dear Lister, If I have a list of number, say x<-c(0.1, 0.5, 0.6...), how to use a for() to loop through each number in x one by one? Thank you so much! wensui [[alternative HTML version deleted]]

Sometimes, it is too costly to read the whole data file into R. I am looking for solution in scan() and read.Lines() but don't they work. Thank you so much! -- ============================== WenSui Liu Acquisition Risk, Chase Blog : statcompute.spaces.live.com Tough Times Never Last. But Tough People Do. - Robert Schuller

Dear All, I finally have chance to have R install on our unix server. However, the system admin asked me if I prefer command-line or gui interface. I have experience with R on linux before but never use R on unix. Here are my questions that I need you guys help. 1) is there a good gui for R/unix like we do for windows and mac? 2) if the answer for 1) is yes, which one is better interms of

Dear Lister, Is there an interface in R with SQL server that allows me to append records to table in the DB? Might I do that using RODBC? Thanks a lot. -- WenSui Liu A lousy statistician who happens to know a little programming (http://spaces.msn.com/statcompute/blog)

Right now, I am using SAS and S+/R. As a new year resolution, I am planning to learn a scripting language. from statisticians' point of view, which scripting language is worth to learn, perl, python, or any other recommendation? (Most likely, I will be learning it in windows.) Since I am not in research, I will prefer one widely used in industry and related to statistical work. if you

Dear Listers, I know it is far off topic. But I do know there must be some people here who know it very well. Sorry for bothering others. Thanks. -- WenSui Liu, MS MA Senior Decision Support Analyst Division of Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center

Good morning, dear listers I am wondering if you could recommend a good tutorial / book for r scripting. thank you so much in advance! WenSui Liu Credit Risk Manager, 53 Bancorp wensui.liu at 53.com 513-295-4370

Your surest bet is to look into S+, not R, since the former does 'integrate' with Microsoft applications. To what extent, I don' know. This is a desirable feature (IMO) and a reason to use S+ rather then R (already discussed in different thread). Try the S+ newsgroup. > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at

I remember in one slide of Prof. Ripley's presentation overhead, he said the most popular data analysis software is excel. So is there any resource or tutorial on this topic? Thank you so much!

Dear All, Is there a emacs/xemacs for unix without compiling it? If it is possible, I prefer something that I can use immediately after putting it on the unix server. Is it possible or am I too stupid to ask this kind of question? Thanks for your insight! -- =============================== WenSui Liu ChoicePoint Precision Marketing Phone: 678-893-9457 Email : wensui.liu at choicepoint.com Blog

[ronggui] >R's week when handling large data file. I has a data file : 807 vars, >118519 obs.and its CVS format. Stata can read it in in 2 minus,but In >my PC,R almost can not handle. my pc's cpu 1.7G ;RAM 512M. Just (another) thought. I used to use SPSS, many, many years ago, on CDC machines, where the CPU had limited memory and no kind of paging architecture. Files did

Hi R-experts, I have data from four conditions of an experiment. I tried to create four subsets of the data with read.table, for example, read.table("Experiment.csv",subset=(condition=="1")) . I found a similar post in the archive, but the answer to that post was no. Any new ideas about reading subsets of data with read.table? Thanks! Feng [[alternative HTML version

Dear R community, I have a dataframe with say 100 different variables. I wish to regress variable 1 separately on every other variable (2-100) in a linear regression using lm. There must be an easy way to do this without loops, but I have difficulties figuring this out... Can you please help? Thank you and best regards, Georg. ***************************************** Georg Ehret Johns Hopkins

Dear Listers, If I have several glm objects with names glm1, glm2.... and want to apply new data to these objects. Instead of typing "predict(glm1, newdata)..." 100 times, is there way I could do so in a loop? Thank you so much! wensui [[alternative HTML version deleted]]

Dear useRs, I am wondering what is the most fast and stable way to read data (pretty large) into R. Right now, the methods I could think of are: 1) use read.table to read *.csv or *txt 2) use RODBC to read excel or access But I don't know which is better. Thanks for your sugggestion. -- WenSui Liu (http://statcompute.blogspot.com) Senior Decision Support Analyst Cincinnati Children

Having just update to R 2.6.2 on my old Windows laptop I notice that the number of packages is growing exponentially and my usual approach of get-em-all may not be viable much longer. Has any thought been given to dividing "contributed" binaries into a recommended set, perhaps a couple of hundred, and the remained. That way one could install the recommended ones routinely and add in