similar to: installing R on Irix

Full_Name: Brandon Whitcher Version: 1.6.1 OS: IRIX 6.5 Submission from: (NULL) (194.6.84.100) I am attempting to compile R v1.6.1 on my SGI Octane (running IRIX 6.5) and ran into the following error when I encountered the new recommended package _mgcv_ (using make) ---------- R_LIBS= ../../../bin/R CMD INSTALL -l ../../../library mgcv.tgz * Installing *source* package 'mgcv' ...

Dear all, Thanks to those 3 people who sent me answers to my question. Got the problem solved. Great! Now, another question of mine is: I would like to run an R script from the Linux prompt. Is there any way possible to do this? The reason is, the calculation that I'm doing takes a few hours, and I would like to automatize it. Or does it mean that I have to run source within the R

I have a Dell 500w UPS and it works great with Ubuntu 12.04 LTS and Network UPS tools 2.6.3 via usb. This powers a standalone server for the purposes of clean shutdowns. This was installed using "sudo apt-get install nut" and there are no issues with the Server > nut > ups chain. I am using the usbhid-ups driver and haven't had any issues. I am trying to also add an NAS to the

Dear all, I'm new to this list, so let me greet everyone. My problem is that I have several thousand data files which I want to perform a lot of R commands on, which are found in a seperate .R script. Now, what I did was within the R prompt, I used to read in a list of the data files. e.g. namelist <- readLines("list_of_names",n=-1) for (i in 1:100) { k <-

Hi all, I'm running Samba Version 3.0.21a on SUSE Linux 9.3. For the Hardware I'm using a Dell Power Edge 1750, this is connected with a QLA2300_7xx HBA on a CX300 DUN EMC? Disk array machine. The operating system works on the local disks from the Power Edge, the /data share is on the /dev/sdb1 which is the LUN on the CX300. All seems to work, bat I have continuously follow error

Hi LLVM developers, GCC[1] is able to use Loongson ISA[2] for instruction selection: $ cat hello.c #include <stdio.h> int main(int argc, char *argv[]) { printf("Hello World\n"); return 0; } $ gcc -O0 -S hello.c $ cat hello.s .file 1 "hello.c" .section .mdebug.abi64 .previous .nan legacy .gnu_attribute 4, 1 .abicalls

- my old email address. The ISA_* classes might not be the best choice for this. There's an overall hierarchy and ordering to the ISA_* classes since they represent the generations of the MIPS ISA. If these extensions are available in Loongson chips based on MIPS32r1 and MIPS32r2 for example, it becomes difficult to describe with ISA_* classes without duplicating instruction definitions or

On Mar 21, 2014, at 1:39 PM, Schauer, Peter wrote: > I have a Dell 500w UPS and it works great with Ubuntu 12.04 LTS and Network UPS tools 2.6.3 via usb. This powers a standalone server for the purposes of clean shutdowns. This was installed using ?sudo apt-get install nut? and there are no issues with the Server > nut > ups chain. I am using the usbhid-ups driver and haven?t had any

I am using gam in mgcv (1.3-22) and trying to use gcv to help with model selection. However, I'm a little confused by the process of assessing GCV scores based on their magnitude (or on relative changes in magnitude). Differences in GCV scores often seem "obvious" with my poisson gams but with negative binomial, the decision seems less clear. My data represent a similar pattern as

hi Using a ts or tprs basis, I expected gcv to decrease when increasing the basis dimension, as I thought this would minimise gcv over a larger subspace. But gcv increased. Here's an example. thanks for any comments. greg #simulate some data set.seed(0) x1<-runif(500) x2<-rnorm(500) x3<-rpois(500,3) d<-runif(500) linp<--1+x1+0.5*x2+0.3*exp(-2*d)*sin(10*d)*x3

Is there an R implementation of a scheme for automatic smoothing parameter selection with loess, e.g., by minimizing one of the AIC/GCV statistics discussed by Hurvich, Simonoff & Tsai (1998)? Below is a function that calculates the relevant values of AICC, AICC1 and GCV--- I think, because I to guess from the names of the components returned in a loess object. I guess I could use

Hi, I am trying to use the Tps procedure to visualize 3 variables in XYZ space, but keep getting the error messages below: Warning messages: 1: In Krig.find.gcvmin(info, lambda.grid, gcv.grid$GCV, Krig.fgcv, : GCV search gives a minimum at the endpoints of the grid search 2: In Krig.find.gcvmin(info, lambda.grid, gcv.grid$GCV.one, Krig.fgcv.one, : GCV search gives a minimum at the endpoints

I have a dataset of pregnancy values for multiple years (and ages, not included) with missing years. I would like to use local polynomial regression to smooth the values and estimate for the missing years. I would also like to use GCV to justify the smoothing parameter selection. When using locfit() with lp() I found that the gcvplot function does not work as it is looking for an alpha value to

Hi, I've been using gamm4 to build GAMMs for exploring environmental influences on genetic ancestry. Things have gone well and I have 2 very straightforward questions: 1. I've used method=REML. Am I correct that this is an alternative method for estimating the smooth functions in GAMMs rather than GCV that is often used for GAMs? I've read up on REML and it makes sense, but I'm

Hello, I have a question regarding model selection and dropping of terms for GAMs fitted with package mgcv. I am following the approach suggested in Wood (2001), Wood and Augustin (2002). I fitted a saturated model, and I find from the plots that for two of the covariates, 1. The confidence interval includes 0 almost everywhere 2. The degrees of freedom are NOT close to 1 3. The partial

Hi, I have a 4 column file (long/lat/elev/variable) and I tried to fit the values of my variable to the XYZ space using Tps and I keep getting the following message: Warning messages: 1: GCV search gives a minumum at the endpoints of the grid search in: Krig.find.gcvmin(info, lambda.grid, gcv.grid$GCV, Krig.fgcv, 2: GCV search gives a minumum at the endpoints of the grid search in:

I'm seeing some strange behavior while using the snow package for networked computers. I believe it's caused by name space resolution issues, and would appreciate any suggestions tracking it down. First, is there a way to find out what frame (as in frames in environments, not data frames) a name is being obtained from or put into? Second, how closely does the evaluation environment in

Hi all, I have run a ridge regression as follows: reg=lm.ridge(final$l~final$lag1+final$lag2+final$g+final$u, lambda=seq(0,10,0.01)) Then I enter : select(reg) and it returns: modified HKB estimator is 19.3409 modified L-W estimator is 36.18617 smallest value of GCV at 10 I think it means that it is advisable to

Hi, I had some experience on Asterisk 1.0.7 and 1.2.0. Now, I want to do something on the New Release of Asterisk 1.6.xx. I want to know wheather there are already web GUI for use now in the release. Or still nedd integrate some other third part GUI? Any advice will be appreciated. Thanks ahead, Best Regards, Gary -------------- next part -------------- An HTML attachment

Hi, It's my problem, supppose that we have a data.frame: t a b c 1 1 1 1 2 0 1 1 3 1 1 1 4 0 0 0 5 1 0 1 6 0 1 0 7 1 1 1 8 0 1 0 I need extract duplicat row i.e i nedd frame like this a b c 3 1 1 1 8 0 1 0 I try use subset(t, duplicated(t)) and t[duplicated(t), ] but this command return a b c 3 1 1 1 7 1 1 1 8 0 1 0 Best Marcin M. -- View this message in context: