search for: bacolli

R-Users, I hope this is not a uniformed question, but I am a little lost. I ran into a problem this morning and I was wondering if anyone had seen it before. I was trying to summarize each column of a data set (150,000 rows, ~50mb, so it was a relatively big file) imported from a text file using the below code; data.summary <- read.csv("c:/summary.txt", sep="")

Is there a way I can have R automatically execute the commands in a source file without ever having to use R interactively? If so, what arguments should I pass to the UNIX call to R? I need to do this to run several R jobs in parallel. An alternative may be to have R and an R package behave as a stand-alone application that can be called from the UNIX command line. Is there any documentation on

...did not see anything on the help pages (or in packages, but I could have missed it) and I didn't want to re-invent the wheel. TIA, Bret A. Collier Arkansas Cooperative Fish and Wildlife Research Unit Department of Biological Sciences SCEN 513 University of Arkansas Fayetteville, AR 72701 bacolli at uark.edu

Hi, there. Can I ask how to set up missing values in R? Suppose I want to assign the missing value to the elements in vector which is greater than zero like this: x<-c(1,3,-1,0,4); after the missing value assignment, x becomes (NA,NA,-1,0,NA). Thanks! Yulei $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Yulei He 1586 Murfin Ave. Apt 37 Ann Arbor, MI 48105-3135 yuleih at umich.edu

RUsers, I am trying (with little success) to determine how to combine unique and min to do some data frame manipulations and I could use a little advice. I have tried various combinations of 'unique', 'min' and 'apply' with no luck. Given this simple example data (x, y) x<-c(10, 10, 12, 13, 15, 16 ,17, 17, 17) y<-c(112, 117, 111, 117, 114, 113, 119, 121, 130)

UseRs, I am working on a dataset (see small example below) where individuals were followed on a specific date-time combo and multiple repeated measurements were taken (e.g., height in meters, behavior class in 2 letter code). Observation numbers varied between individual (ranging from 1 observation for each date-time combo to >50) I am trying to summarize the data into 1 row per

All, I constructed a fairly simple plot using the below and scatterplot3d. However, the axis locations in scatterplot3d seem to 'hide' quite a bit of the points in my graphic based on the viewing angle, hence not adhering to Tufte's rules. I tried to determine if I could rotate the graph and relocate all three axis (origin (0, 0, 0))so they would be at the back left so the

All, I have been digging around in the help files and found bsamsize in Hmisc, but I am wondering if i am using it right. So, here is the question: given a binomial response (success/failure) for 2 groups (treatment/control) and I want to estimate the necessary sample size (n) to determine if the magnitude of the difference between treatments and controls is a 25% increase in success

R-users, I have been using R for about 1 year, and I have run across a couple of graphics problem that I am not quite sure how to address. I have read up on the email threads regarding the differences between density and relative frequencies (count/sum(count) on the R list, and I am hoping that someone could provide me with some advice/comments concerning my approach. I will admit