similar to: Help! I couldn't put multiple qplot on the same page...

I use code ( actually its code from vars package and its directly below ) to do a sequence of lm calls and the data I use from the matrix depends on restrictions. for(i in 1:K){ datares <- datasub[, which(x$restrictions[i, ] == 1),drop=FALSE] y <- yendog[, i] lmres <- lm(y ~ -1 + ., data=datares) # x$varresult[[i]] <- lmres # x$resid[, i] <-

Hi! This is my first time posting. I've read the general rules and guidelines, but please bear with me if I make some fatal error in posting. Anyway, I have a continuous response and 29 predictors made up of continuous variables and nominal and ordinal categorical variables. I'd like to do lasso on these, but I get an error. The way I am using "lars" doesn't allow for the

Hi, I'm doing a k-means cluster with 6 clusters and 15 variables. Any suggestions on how to plot the results? I've tried the standard xy plot, but couldn't get much of it. Thansk in advance, Iuri.

Hi, I have a matrix (pwdiff in the example below) with ~480000 rows and 780 columns. For each row, I want to get the percentage of columns that have an absolute value above a certain threshold "t". I then want to allocate that percentage to matrix 'perc' in the corresponding row. Below is my attempt at doing this, but it does not work: I get 'replacement has length

Hi, i am working with large data frames with many dependend variables. I want to write some functions that will allow me to quickly select variables from the frame and plot them in various colors depending on factor columns, possibly selecting rows according to factor conditions. In order to do this in a nice function, i need to understand how to work with a column name in the body of a