search for: laboriously

...trying to read a bunch of csv files using read.table() that are named "test_xxxxxx.csv" where "xxxxxx" has no particular pattern. Is there a way of reading all the files by specifying a truncated file name e.g. "test_" with some wild card characters, or would I have to laboriously create some vector with the "xxxxxx" names and iterate or lapply() over it? Kind regards Chibisi [[alternative HTML version deleted]]

Hi, I am a graduate student at Oregon State University pursuing my Masters degree in Computer Science. I am interested in conducting research on the bug reports in many open source projects. I would like to study how the projects manage their bug reports and identifying how Bugzilla and similar bug repository systems could be improved to facilitate this process. I have a bunch of Perl scripts

Apologies for this simple question - Given the number of comparisons I need to do it has become somewhat laborious to compute the SSE manually. I first have to extract the coefficients, build the model and run the model on the data. So far I haven't found any method in R that will do this for me. Is there a method that I haven't seen, or is there a small function I could write that would

Dear all, I wrote a wrapper to a FORTRAN program using R. The main program uses a text file (~200 lines) as an input describing the simulation to be run. I typically generate the file once with the right parameters using a combination of file(), paste(), cat(). This is fine, and it works well, however I then need to update only a few values in the file many times (~200 times,

This must be FAQ, but I can't find it in archives or with a site search. I am trying to construct a frequency table. I guess this should be done with table. Or perhaps factor and split. Or prop.table. cut? findInterval? Argh! Please correct me if what I am looking for is not called a "frequency table". Perhaps it's called grouped data. > zz$x9 [1] 65 70 85 65 65 65 62 55

Dear UseRs,Extremely sorry for a basic question. I have a matrix of 19 rows and 365 columns. what i want to do is the following...First i want to leave out column number 1 and want to calculate the row wise mean of the remaining columns, which will obviously give me 365 values in one column, and then subtracting these values from the column i left out i.e. col=1 then i want to leave out column 2

Hi, I would like to use a weighted lm model to reduce heteroscendasticity. I am wondering if the only way to generate the weights in R is through the laborious process of trial and error by hand. Does anyone know if R has a function that would automatically generate the weights need for lm? Thanks, -- Tom [[alternative HTML version deleted]]

Dear Colleagues, I have recently installed R Commander on my Mac OS 10.6.8. I'd like to use it for an undergraduate class this year. Everything appears to be working fine, except for one thing. I cannot use Command-tab to cycle from the X11 window in which RCommander is running to any other window open in my workspace. This is particularly important because I cannot cycle to the graphics

I have an interesting case here ? Virtual mailboxes, domain/username/aliases stored in MySQL, authentication done using PAM. PAM authenticates through Kerberos, which are internal realms and not the email domains ? for example, my username would be laz at PARAVIS.LOCAL <mailto:laz at PARAVIS.LOCAL> and my email address would be laz at paravis.net <mailto:laz at paravis.net>. All of

Hello Wise Ones... I need a clever way around a problem with findInterval. Consider: vec1 <- 1:10 vec2 <- seq(1, 10, by = 0.1) x1 <- c(2:3) a1 <- findInterval(x1, vec1); a1 # example 1 a2 <- findInterval(x1, vec2); a2 # example 2 In the problem I'm working on, vec* may be either integer or numeric, like vec1 and vec2. I need to remove one or more sections of this vector;

Added linux-btrfs and Helmut Hullen, who seemed to experience hangs on a T23 with BTRFS as well, to Cc. Am Thursday 03 February 2011 schrieb Rafael J. Wysocki: > This message has been generated automatically as a part of a report > of regressions introduced between 2.6.36 and 2.6.37. > > The following bug entry is on the current list of known regressions > introduced between

[This is a cross-posting of a message posted in cfe-dev mailing list ( http://lists.cs.uiuc.edu/pipermail/cfe-dev/2013-August/031595.html); sorry for double-posting.] All, This is to announce availability of a full OpenMP 3.1 support implementation in Clang compiler. The project is hosted there: http://clang-omp.github.com/ It is based on clang 3.3 (and will be updated as new clang/llvm

...pley about this last 12 Jun 2007. This suggests that I may have accidentally entered some possibly non-printing character into the offending Rd file. The message tells me which file, but I don't know which lines in the file. Is there some way of finding the offending character(s) without laboriously running R CMD check after deleting different portions of the file until I isolate the problem? Thanks, Spencer Graves

Hi All, I have some data where the dependent variable is a score, low (1:3) or high (8:9), and the independent variables are 21 genotypic markers. I'm fitting a logistic regression on the whole dataset after transforming the score to 0/1 and normal linear regression on the high and low subsets. I all cases I have a numer of cases of data 'duplications', i.e. different

I have a very long list of strings. Each string actually contains multiple values separated by a semi-colon. I need to turn each string into a vector of the values delimited by the semi-colons. I know I can do this very laboriously by using loops, nchar, and substr, but it is terribly slow. Is there a basic R function that handles this situation? If not, is there perhaps a faster way to do it than I currently am, which is to lapply the following function? Thanks, Mark #########################################################...

Hello, I was trying to fit a Johnson curve by first figuring out the parameter estimates using JohosnFit of a vector by a group ID using the aggregate function. I.E. aggregate(x, by = list(ID), JohnsonFit) where x is the variable I am trying to perform JohnsonFit on. It is a continuous random variable. However, I keep getting the following error: Error in JohnsonFit(x) : Unbounded solution

Hi everyone, I have a PCA plot that I'm writing about in the text. There were so many symbols in different colours on it that I didn't include a legend in the plot as it would be useless. So what I was hoping to do was to talk about each set of replicates in the text and when I do that, use their coloured symbol in the text. So what I want to do is to get R to create some high quality

Hi, I'm interested in the two pre-RA instruction schedulers used in LLVM, list-hybrid and list-ilp. I've done some digging on the internet and played around with executing some test files using the two schedules. However, I'm still uncertain of the behaviors and heuristics used in each. For example, the XXXX_ls_rr_sort::isReady for hybrid includes a 3 cycle readydelay (seems

Excuse my ignorance on partials but..... I am trying to use partials to create a uniform display box built with html tables. The only way I have thought about accomplishing this is to create two partials: _start_box.erb ---------------- <table id="box" width="<%= width %>"><tr><th><%= h(label_text) %></th></tr><tr><td>

Hi all, I am trying to find estimates for 7 parameters of a model which should fit real data. I have a function for the negative log likelihood (NLL) of the data. With optim(method="L-BFGS-B",lower=0) I am now minimizing the NLL to find the best fitting parameters. My problem is that the algorithm does not converge for certain data sets. I have read that one should scale the fn