similar to: Scripts from The Elements of Statistical Learning book

Dear helpers, I am trying to use the mda package downloaded from the R website, but the data set has missing values so I got an error message. Should I manually handle these missing values? I was trying to read the documents to specify any option related to missing values, but I did not find it. Please forgive me if I ignore something obvious. Thanks, Zhu Wang Statistical Science Department

Hi, I'm just wondering does anyone know of a good site that would assist me in creating a spam filter through R? It is for a college project. I have searched the net but cannot find anything of relevance. Any help would be greatly appreciated.... Regards, -- View this message in context: http://www.nabble.com/An-R-SPAM-Filter-tp15530304p15530304.html Sent from the R devel mailing list

In an .Rd example for a package, I want to use data from another package, but avoid loading the entire package and avoid errors/warnings if that other package is not available. If I don't care about loading the other package, I can just do: if (require("ElemStatLearn", quietly=TRUE)) { data(prostate) # rest of example } I'd rather just be able to do something like:

Hi, Dear R community, Does anyone know how to constructdecision tree with boosting? Is any tutorial I can read? -- Sincerely, Changbin -- [[alternative HTML version deleted]]

?hclust listed several references. I'm wondering what is the best resource that explained clustering algorithms, dendrogram and various clustering algorithms that are implemented in R. Thank you!

Hi All,  I have been trying to use glmnet package to do LASSO linear regression. my x data is a matrix n_row by n_col and y is a vector of size n_row corresponding to the vector data. The number of n_col is much more larger than the number of n_row. I do the following: fits = glmnet(x, y, family="multinomial")I have been following this

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel Palo Alto, CA Feb 26-27, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely increasingly more on data

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Georgetown University Conference Center Washington DC September 20-21, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel, Palo Alto, California February 24 & 25, 2005 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely

Hi to everyone, I am starting to work with a model that is not familiar to me. The model would be like that: y = . - a*max(Q(i) - Q(0), 0) + . where Q(i) is the accumulated effect of a variable at time i and Q(0) a threshold above it there is effect on y. The value of Q(i) could be estimated as: Q(i+1) = Q(i) + b*max(s(i) - s(0), 0) + c*min(s(i) - s(0), 0) + . Where s

R people, I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri?n

I'm working with a linear model with four factors as explicatory variables, being all of them significally (e.g. y ~ a + b + c + d). I thought that the residuals of a linear model keep the variance not explained by the model, so if I use my model with just three factors (y ~ a + b + c) and keep the residuals is expected that in a new model with the residuals as dependent variable and the four

Hi, see these links: http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ http://sawww.epfl.ch/SIC/SA/publications/FI01/fi-sp-1/sp-1-page45.html Brian D. Ripley, Datamining: Large Databases and Methods, in Proceedings of "useR! 2004 - The R User Conference", may 2004 http://www.ci.tuwien.ac.at/Conferences/useR-2004/Keynotes/Ripley.pdf looking for a book I suggest: Trevor Hastie , Robert

All, For my understanding, I wanted to see if I can get glmnet predictions using both the predict function and also by multiplying coefficients by the variable matrix. This is not worked out. Could anyone suggest where I am going wrong? I understand that I may not have the mean/intercept correct, but the scaling is also off, which suggests a bigger mistake. Thanks for your help. Juliet Hannah

Hi There, I am trying to fit a logit model to some data in a CSV file in R. Here is my code: Prepared_Data = read.csv("Prepared_Data.csv", header=TRUE) Prepared_Data attach(Prepared_Data) lrfit<-glm(C3~A1*B2*D4*E5,family = binomial) anova(lrfit, test="Chisq") write.csv(anova(lrfit, test="Chisq"), file="CWModelA.csv") shell.exec("CWModelA.csv")

Is there any R funtion that allow the estimation of mode in a continuous variable? Thank you -- View this message in context: http://www.nabble.com/how-to-calculate-the-mode-of-a-continuous-variable-tp19214243p19214243.html Sent from the R help mailing list archive at Nabble.com.

On page 100. I do the command: ruby script/generate controller store index and if i go to /store/ it works yet if i fiddle around and command: ruby script/generate controller admin index and go to /admin/ it doesn''t do as it did with the store directory, instead listing the products. why is this so? Thanks again. Dominic -- Posted via http://www.ruby-forum.com/.

Aside from An Introduction to R by W. N. Venables, D. M. Smith (the PDF is free), what would people recommend as a good starter book? I was thinking of introductory Statistics with R by Peter Dalgaard. Any thoughts?? My knowledge of Stats is stale and the primary use of R is for time series analysis. Any advice would be greatly appreciated. Thanks. -- Jonathan jqm475 at gmail.com

Hello All, Recently, I was asked to help out with an SEM cross-validation analysis. Initially, the project was based on "sample-splitting" where half of cases were randomly assigned to a training sample and half to a testing sample. Attempts to replicate a model developed in the training sample using the testing sample were not entirely successful. A number of parameter estimates were

Hi! I have some questions about MARS model's coefficient of determination. I use the MARS method in my master's thesis and I have noticed some problems with the MARS model's R^2. You can see the following example that the MARS model's R^2 is too big when i have used mars() -function for MARS model building, and when I have made MARS-model using a linear regression, it