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Hello All, Having some issue with local machine, I need to locate myself on Amazon for running R and Hadoop with Amazon instance. After searching a lot, I can't able to take a decision for choosing Image for Amazon instance. Can any one using R + Hadoop on Amazon. Thanks [[alternative HTML version deleted]]

Hello folks, I am on learning phase of R. I have developed Regression Model over six predictor variables. while development, i found my all data are not very linear. So, may because of this the prediction of my model is not exact. Here is the summary of model : Call: lm(formula = y ~ x_1 + x_2 + x_3 + x_4 + x_5 + x_6) Residuals: Min 1Q Median 3Q Max -125.302

Hello, After development of recommendation engine with the R, before removal of outliers from data-set value of residual standard error was 1351 and after removal of outlier its 100. Still there is no accurate prediction which gives 10% correct(near) prediction. For more fitting i also have tried polynomial model with two ,three and four degree but still no improvement. Is there any most

Hello all, I am new to R, I am learning regression and logistic modeling with categorical predictor variables, when there is only one predictor categorical variable i can use as.numeric() but when more than two variable then what is solution? can anyone suggest me? Thanks vignesh [[alternative HTML version deleted]]

...r("/mail/InboxLight.aspx",levels=as.character(l1_q_exitPagePath)),q_referralPath=factor("(not set)",levels=as.character(l1_q_referralPath)),visits=visits,transactions=transactions,transaction_revenue=transaction_revenue,revenuepertransaction=revenuepertransaction) load("D:/TATVIC-ML/SVM/CR & AOV-SVM/Final/Datasets/Train/Model3_YDW_CR.rda") p3<-predict(svp3c,newdata=input_dataset_prediction[,-1],type="response") s3<-data.frame(input_dataset_prediction$isCRgt3,p3) Can any one give suggestion? [[alternative HTML version deleted]]

As I found the memory problem with local machine/micro instance(amazon) for building SVM model in R on large dataset(2,01,478 rows with 11 variables), then I have migrated our micro instance to large instance at Amazon. Still I have memory issue with large amazon instance while developing R model for this dataset due to large size. I have attached the snap of error with local