similar to: correcting a few data in a large data frame

Thanks for the excellent help on my recent question on this topic in which the data frame had been reshaped by cast. Now, I would like to access and change erroneous data in a data frame that has not been reshaped. The file is lupepn1, with identifier variables bushno & bout and dependent variables survival, and wwG I know the bushno and bout of the erroneous dependent survival and wwG data.

Hello List, I`m trying to make prediction using a bagged tree with the package ipred. I tried to follow the manual but I`m getting an error message. Also browsing through the list-archive I didn`t find any hint. Maybe someone can help me? selbag <- bagging(SOIL_UNIT ~., data=traindat.bin, coob=TRUE) Error in dimnames(X) <- list(dn[[1L]], unlist(collabs, use.names = FALSE)) :

Hi, I use a mboost model to predict my dependent variable on new data. I get the following warning message: In bs(mf[[i]], knots = args$knots[[i]]$knots, degree = args$degree, : some 'x' values beyond boundary knots may cause ill-conditioned bases The new predicted values are partly negative although the variable in the training data ranges from 3 to 8 on a numeric scale. In order to

Dear List, I´m trying to implement the functionalities from WEKA into my modeling project in R through the RWeka package. In this context I have a slightly special question about the filters implemented in WEKA. I want to convert nominal attributes with k values into k binary attributes through the NominalToBinary filter ("weka.filters.supervised.attribute.NominalToBinary"). But

Hi list, I´m working on a predictive modeling task using the caret package. I found the best model parameters using the train() and trainControl() command. Now I want to evaluate my model and make predictions on a test dataset. I tried to follow the instructions in the manual and the vignettes but unfortunately I´m getting an error message I can`t figure out. Here is my code: rfControl <-

Hi List, Im new to postfix-dovecot and im mystified by the following results in ubuntu 10.04lts :~$ dovecot -n # 1.2.9: /etc/dovecot/dovecot.conf Error: ssl_key_file: Can't use /etc/ssl/private/ssl-mail.key: Permission denied Fatal: Invalid configuration in /etc/dovecot/dovecot.conf ~$ sudo ls -dl /etc/ssl/private/ssl-mail.key lrwxrwxrwx 1 root root 38 2013-11-27 08:35

Hello, I came across a problem when building a randomForest model. Maybe someone can help me. I have a training- and a testdataset with a discrete response and ten predictors (numeric and factor variables). The two datasets are similar in terms of number of predictor, name of variables and datatype of variables (factor, numeric) except that only one predictor has got 20 levels in the training