search for: zulutim

I'm using read.delim to successfully read in tab delimited data, but some columns' values are comma seperated, reflecting the fact that user chose a few answers on a multi-select question. I understand that each answer is its own category and so could be represented as a seperate column in the data set, but I'd like the option of reading in the data column, and converting it to a

Hi all, I just noticed (the hard way of course) that when a query returns 0 rows, the columns in the resulting data.frame get dropped as well. See the following example code (where conn is an active connection to an SQLite db): > dbGetQuery(conn, "select 1 as hey, 2 as ho where 1") hey ho 1 1 2 > dbGetQuery(conn, "select 1 as hey, 2 as ho where 0") data frame

I have a simulation program that generates a data frame for each run. I aggregate the data.frames into a list (df.list). The structure of all data frames is the same, only the values are different. I then want to aggregate the various runs. Currently I use the following method (for three runs): means = (df.list[[1]]$variable + df.list[[2]]$variable + df.list[[3]]$variable)/3 I would like

Well here is one more brain-teaser related to assigning stuff into a list of list. What if I need to create a new list of empty lists? I have actually got a solution to this problem: l = list(list()) for ( i in sequence(length-1) ) { l = list(unlist(l,recursive=FALSE), list()) } But it is not very neat to do this in a loop. Are there any cuter ways to do this?

Hi, I've been trying out the plm package, which seems like a great boon to those who want to analyze panel data in R. I haven't started to use the estimation functions themselves - for now I am just interested in having a robust way to deal with lags in unbalanced panel data, since it is such a royal pain to deal with all the special cases. However, In my tests, I found behavior that

Hi all, I'm trying to print a number of wireframe plots (generated using the lattice package), and I want them to appear in a two-by two matrix along with some other (standard) plots. In other words I am trying to create a subplot or tiled plot that works for wireframes. I've tried the methods discussed in: http://tolstoy.newcastle.edu.au/R/e2/help/07/07/21238.html but while they work

Hi all, I'm getting the following warnings inside a loop: Warning messages: 1: In calc.measures(g, 1, i) : Reached total allocation of 1535Mb: see help(memory.size) 2: In calc.measures(g, 1, i) : Reached total allocation of 1535Mb: see help(memory.size) Usually, when I see these warnings, they are accompanied with an error message (Error: cannot allocate ...), but not in this case.

Hi all, I ran into a small issue when converting a list of vectors to a data frame. The Issue I'm having is described by the snippet below: ######################################################### # Convert a list of vectors into a data.frame strlen = 256 s.long.a = paste( letters[1+(0:strlen %% 26)], collapse="") s.long.b = paste( letters[1+(strlen:0 %% 26)],

Hi all, I have some long-running code that I'm trying to profile. I am seeing a lot of time spent inside the <Anonymous> function. Of course, this can in fact be any of several functions, but I am unable to see how I could use the information from Rprof.out to discern which function is taking the most time. An example line from my Rprof.out is: rbernoulli <Anonymous>