similar to: syntax for extending a line in a script??

Hi all, I am using the package "random forest" for random forest predictions. I like the package. However, I have fairly large data sets, and it can often take *hours* just to go through the "na.roughfix" call, which simply goes through and cleans up any NA values to either the median (numerical data) or the most frequent occurrence (factors). I am going to start

Hello, This is mostly to developers, but in case I missed something in my literature search, I am sending this to the broader audience. - Are there any plans in the works to make "time" classes a bit more friendly to the rest of the "R" world? I am not suggesting to allow for fancy functions to manipulate times, per se, or to figure out how to properly

Hello, This is mostly to developers, but in case I missed something in my literature search, I am sending this to the broader audience. - Are there any plans in the works to make "time" classes a bit more friendly to the rest of the "R" world? I am not suggesting to allow for fancy functions to manipulate times, per se, or to figure out how to properly

Hi everyone, I have another "Random Forest" package question: - my (presumably incorrect) understanding of the varImpPlot is that it should plot the "% increase in MSE" and "IncNodePurity" exactly as can be found from the "importance" section of the model results. - However, the plot does not, in fact, match the "importance"

Hello all, First of all, thanks so those of you who helped me a week or so ago managing a time series with varying gaps between the data series in 'R'. (My final preferred solution was to use "its" function & then forecast(Arima( ) ). ) My next question is a general statistical question where I'd like some advice, for those willing / able to proffer any wisdom:

Hey everyone, I know that I can call 'R' from other scripts, and that I can make command calls from 'R' (e.g., using system() ). But how can I get 'R' to RETURN values to the script that called it. E.g., I would like to be able to do something like the following (as a simpler example) from a bash script: #!/bin/bash myTest=echo /usr/local/bin/R --no-restore

Hi All, First let me state that I did search for a while on r-help, google, and using the "sos" package inside of 'R', without much luck. I want to know how to create a univariate time series from a set of data that will have huge time gaps in it. For instance, here is a snapshot of a piece of data that I would like to analyze: *Row queued_time

Hello All, Using the standard "summary" function in 'R', I ran across some odd behavior that I cannot understand. Easy to reproduce: Typing: summary(c(6,207936)) Yields:: Min. *1st Qu. Median Mean 3rd Qu. Max.* 6 *51990 104000 104000 156000 207900* None of these values are correct except for the minimum. If I perform "quantile(c(6,

Hey everyone, I've been using 'R' long enough that I should have some idea of what the heck either expression() or eval() are really ever useful for. I come across another instance where I WISH they would be useful, but I cannot get them to work. Here is the crux of what I would like to do: presume df looks like this A B C === === === M 45 0 M

Hello all, I have a strange / interesting problem that might be 'R' settings themselves, or it might be something with the OS. I am using the RODBC library. I have a script that goes out and, before making a query for a big data set, will first query for the column names of the data set. The column names could sometimes be quite long (e.g., "Time Background Estimation

Hello all, I have a peculiar and particular bug that I stumbled across with ggplot2. I cannot seem to replicate it with anything other than my specific data set. Here is the problem: - when I try to plot a histogram, allowing for ggplot2 to decide the binwidths itself, I get the following error: - stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to

Hello developers, I noticed that if I am running 'R', type "rm(list=objects())" and "gc()", 'R' will still be consuming (a lot) more memory than when I then close 'R' and re-open it. In my ignorance, I'm presuming this is something in 'R' where it doesn't really do a great job of garbage collection... at least not nearly as well as

I have a really long functions, and at the end of the function, I am using a if statement to tag certain keywords based on whether they have certain values contained in them. However, the if statement doesn't seem to work. When I had split up the commands into various functions, it worked fine, but I'm not sure what going on now that it's combined into a single function. myfunc

This seems to be a simple problem, and I feel that there ought to be a simple answer, but I can't seem to find it. I have a function that returns a number of values as a heterogeneous list - always the same length and same names(), but a number of different data types, including character. I want to apply it to many inputs, resulting in a list of lists. I would like to turn this list of

Hello! I have a data frame with dates. I need to create a new "month" that starts on the 20th of each month - because I'll need to aggregate my data later by that "shifted" month. I wrote the code below and it works. However, I was wondering if there is some ready-made function in some package - that makes it easier/more elegant? Thanks a lot! # Example data:

Hi All, I've been successfully using the with function for analyses and the transform function for multiple transformations. Then I thought, why not use "with" for both? I ran into problems & couldn't figure them out from help files or books. So I created a simplified version of what I'm doing: rm( list=ls() ) x1<-c(1,3,3) x2<-c(3,2,1) x3<-c(2,5,2)

Hi all, Can anyone explain why the following use of the subset() function produces a different outcome than the use of the "[" extractor? The subset() function as used in density(subset(mydf, ht >= 150.0 & wt <= 150.0, select = c(age))) appears to me from documentation to be equivalent to density(mydf[mydf$ht >= 150.0 & mydf$wt <= 150.0, "age"])

Dear all, I wanted to make a two-way-table of two variables with a counting variable stored in another column of a dataframe. In version 1.9.1, the behavior is as expected as shown in the simplified example code. > sex <- rep(c("F", "M"), 5) > income <- c(rep("low", 5), rep("high", 5)) > count <- 1:10 > mydf <-

I'm writing a function and keep getting the following error message. myfunc <- function(lst) { lst <- list(roots = c("car insurance", "auto insurance"), roots2 = c("insurance"), prefix = c("cheap", "budget"), prefix2 = c("low cost"), suffix = c("quote", "quotes"), suffix2 = c("rate",

Dear all, given I have data in a data.frame which indicate the number of people in a specific year at a specific age: n <- 10 mydf <- data.frame(yr=sample(1:10, size=n, replace=FALSE), age=sample(1:12, size=n, replace=FALSE), no=sample(1:10, size=n, replace=FALSE)) Now I would like to make a matrix with (in this simple example) 10 columns (for the