search for: my_mod

Dear R users, I am trying to use the dlm package, and in particular the dlmBSample function. For some reason that I am not able to understand, this function does not work properly and the plot of the result does not make sense, while dlmFilter works perfectly. I think that my_mod is correct, because the output of my_dlmFilter$mod is fine. Where is my mistake or my misunderstanding? This is the code: function (orig_ts){ library(dlm) dV_T <- 20000 dW_T <- c(100,10) m0_T <- rep(0,2) C0_T <- 10000*diag(nrow=2) my_dlmModPoly <- dlmModPoly(order=2, dV_T, dW_T, m0...

Ok, so I'm slowly figuring out what a factor is, and was able to follow the related thread about finding a mode by using constructs like my_mode = as.numeric(names(table(x))[which.max(table(x))]) Now, suppose I want to keep looking for other modes? For example, Rgames> sample(seq(1,10),50,replace=TRUE)->bag Rgames> bag [1] 2 8 8 10 7 3 2 9 8 3 8 9 6 6 10 10 7 1 [19] 9 5 4 3 3 5 10 3 6 3 2 8 4 2 1...

Hopefully this is a pretty simple question:   Is there a function in R that calculates the "mode" of a sample?   That is, I would like to be able to determine the value that occurs the most frequently in a data set.   I tried the default R "mode" function, but it appears to provide a storage type or something else.    I tried the RSeek and some R documentation that I