similar to: additional error on read.table function

hello, I have just started using R for doing a project in time series... unfortunately, I am having trouble using the read.table function for use in reading my data set. This is what I'm getting: I inputted: data <- read.table("D:/Oliver/Professional/Studies/Time Series Analysis/spdc2693.data", header = TRUE) I got: Error in file(file, "r") : unable to open connection

hello, I have just started using R for doing a project in time series... unfortunately, I am having trouble using the read.table function for use in reading my data set. This is what I'm getting: I inputted: data <- read.table("D:/Oliver/Professional/Studies/Time Series Analysis/spdc2693.data", header = TRUE) I got: Error in file(file, "r") : unable to open connection

Dear All, I need to separate one column which is in a format like, "can_region", into two columns like, "can", and "region". Do we have a function in R to do this? Thanks. Regards, Jin [[alternative HTML version deleted]]

Building the current release 2.7 branch on x86_64-apple-darwin10 with r81455 reverted, I get the following Polyhedron 2005 benchmark results (with no test failures)... ================================================================================ Date & Time : 7 Apr 2010 22:24:16 Test Name : llvm_gfortran_lin_p4 Compile Command : llvm-gfortran -ffast-math -funroll-loops -msse3

Dear all I am a BEGINNER and have R on my Mac. I saved my excel file as .txt file, I have just one column with first row as the column name. My file when read by R looks like this. After reading the table I try to make a histogram by hist(dbh), it says object dbh not found. What am I doing wrong? thanks dbh 1 11.53 2 16.05 3 7.36 4 16.05 5 8.66 6 12.74 7 22.93 8 7.55 9

On Apr 7, 2010, at 8:41 PM, Jack Howarth wrote: > Building the current release 2.7 branch on x86_64-apple-darwin10 > with r81455 reverted, I get the following Polyhedron 2005 benchmark > results (with no test failures)... Very nice! A 14% speedup on a benchmark we don't tune for isn't bad. I imagine that there are several easy wins you could get on it if you were interested

On Wed, Apr 07, 2010 at 09:54:36PM -0700, Chris Lattner wrote: > > On Apr 7, 2010, at 8:41 PM, Jack Howarth wrote: > > > Building the current release 2.7 branch on x86_64-apple-darwin10 > > with r81455 reverted, I get the following Polyhedron 2005 benchmark > > results (with no test failures)... > > Very nice! A 14% speedup on a benchmark we don't tune for

Anyone see this, submitted as an issue on GitHub? - Dave E. ---- skylerrichter reported an issue: Is camping compatible with ruby 1.9.1? I just upgraded my server to 1.9.1 and now I am getting this: NoMethodError at /register undefined method `scan'' for :Register:Symbol Ruby (eval): in block (2 levels) in M, line 30 If I reload the camping app I then get a standard camping 404

We recently upgraded to ruby 1.9.1 (in order to get new functions in the Math module). We''ve reinstalled Mongrel with it, and even gone so far to make some modifications to the compile (based on a post I found on one of the forums). Mongrel now fails when we try to launch it: mongrel_rails cluster::start With the message: ERROR RUNNING ''cluster::start'': Plugin

[CCing Dale since this was his change, not mine] The change in 81455 fixes a compiler crash. It doesn't happen very often, but I can't imagine we would want to back that out. Fixing it would be a more reasonable solution. From a quick look at it, the problem is that gcc/config/darwin-c.c is registering va_opt for GC. When you build for Fortran, darwin-c.o is not linked so the GC gets

# Hi all, # consider the following code (please, run it: # it's fully working and requires just few minutes # to finish): require(CreditMetrics) require(clusterGeneration) install.packages("Rdonlp2", repos= c("http://R-Forge.R-project.org", getOption("repos"))) install.packages("Rsolnp2", repos= c("http://R-Forge.R-project.org",

Óscar Fuentes wrote: > Done. > > As this is a major change, if the build fails after the update try again > starting from a empty build directory. > Hey, it works great now, thanks! I have some more requests: -Is it possible to also have the include files in the projects ? -Can llvm-config or something like it be used to sort the dependencies of the executables ? -Could you

Argiris Kirtzidis <akyrtzi at gmail.com> writes: > I have some more requests: > > -Is it possible to also have the include files in the projects ? All the headers in include/llvm? Or just those local to each library? > -Can llvm-config or something like it be used to sort the dependencies > of the executables ? I plan to implement a poor's man llvm-config on the CMake

On Thu, Apr 08, 2010 at 08:45:48AM -0700, Bob Wilson wrote: > [CCing Dale since this was his change, not mine] > > The change in 81455 fixes a compiler crash. It doesn't happen very often, but I can't imagine we would want to back that out. Fixing it would be a more reasonable solution. From a quick look at it, the problem is that gcc/config/darwin-c.c is registering va_opt

Dear all, I'm writing my manuscript to publish after analysis my final data with ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here Irid.area) are significantly influenced by the covariate (standard length, SL), I

Good Afternoon, I am relatively new to R and have been trying to figure out how to estimate regression coefficients using the MLE method. Some background: I am trying to examine scenarios in which certain estimators might be preferred to others, starting with MLE. I understand that MLE will (should) produce the same results as Ordinary Least Squares if the assumption of normality holds. That

Hello all, The performance comparison between Polly's Cloog and ISL code generator is posted on http://188.40.87.11:8000/db_default/v4/nts/59?compare_to=58&baseline=58 It seems their execution-time performance are comparable: Performance Regressions - Execution Time  (ISL over Cloog) MultiSource/Benchmarks/TSVC/ControlFlow-flt/ControlFlow-flt 8.49%

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

On Apr 8, 2010, at 8:45 AMPDT, Bob Wilson wrote: > [CCing Dale since this was his change, not mine] > > The change in 81455 fixes a compiler crash. It doesn't happen very often, but I can't imagine we would want to back that out. Fixing it would be a more reasonable solution. From a quick look at it, the problem is that gcc/config/darwin-c.c is registering va_opt for GC.

I want to employ a parsimonious model to draw nomograms, as the full model is too complex to draw nomograms readily (several interactions of continuous variables). However, one interesting variable stays or leaves based on whether I choose "p value" or "AIC" options to fastbw(). My question boils down to this: Is there a theoretical reason to prefer one over another?