similar to: chunk row to new table/file

Hi, I have big .csv file. I would like to filter that file into a new table. For example, I have .csv file as below: f1 f2 f3 f4 f5 f6 f7 f9 f10 f11 t1 1 0 1 0 1 0 0 0 0 1 t2 1 0 0 0 0 1 1 1 1 1 t3 0 0 0 0 0 0 0 0 0 0 t4 1 0 0 0 1 0 0 0 0 0 t5 0 0 0 0 0 0 0 0 0 0 t6 0 0 0 0 0 0 0 0 0 0

i m using a package NbClust for cluster analysis. in the following algorithm ->NbClust(m, diss="NULL", distance = "euclidean", min.nc=2, max.nc=15, method = "ward", index = "all", alphaBeale = 0.1) i want to define my own dissimilarity matrix of dimension 38*38. my original data "m" is a matrix of 365*38. whenever i define my own dissimilarity

Hi, i have a strange problem since pxelinux 3.62 with the F10 help key. I configured this: DISPLAY pxelinux.cfg/schlunix_new.txt F1 pxelinux.cfg/helps/schlunix F2 pxelinux.cfg/helps/schlunix64 F3 pxelinux.cfg/helps/rescue F4 pxelinux.cfg/helps/rescue64 F5 pxelinux.cfg/helps/stress F6 pxelinux.cfg/helps/stress64 F7 pxelinux.cfg/helps/dosimages F8 pxelinux.cfg/helps/mailsystem F9

I'm trying to fit a multinominal logistic model using package mlogit. I have 15 independent variables. The code looks like this: m<-mlogit(score~0|f1+f2+f3+f4+f5+f6+f7+f8+f9+f10+f11+f12+f13+f14+f15, data, reflevel="1") And it gives the following error message: Error in parse(text = x) : unexpected ')' in "score ~ 0 + alt:(f1 + f2 + f3 + f4 + f5 + f6 + f7 + f8 + f9

Hi Chris, Chris Lattner wrote: >> 2) Line 369 of PPCInstrInfo.td, we declare the non-callee saved registers. >> However, Linux and Darwin do not have the same set >> of non-callee saved registers. I don't know how to make the if(isDarwin) test >> in here >> > > Take a look at ARM/ARMRegisterInfo.td for an example of this I tried to define Defs just

Finally moved my home desktop from Fedora to CentOS. My spouse was unhappy with me upgrading from F9-->F10-->f11 etc and wanted something more stable. I built a second machine which is now running in parallel to the old F11 desktop. I moved my data (mail and files) from the F11 box to the CentOS 5.4 box. I used tar to move everything. Mail and files transferred A-OK...but the Evolution

Hi all, I want to buy a processor that will be good for gaming in Wine in FreeBSD. I see that many game engines are starting to take advantage of multi-core systems, however it appears that multi-threaded applications are not distributed properly across multiple cores (Ex: Starcraft II - http://appdb.winehq.org/objectManager.php?sClass=version&iId=20882 ). So I'm not sure if I should aim

I post this to the mailing list, but perhaps is not the good place. I'm not subscribed, so I don't know if I'm going to get any reply, but please, tell me where to send patches. I attach two patches that correctly describes the new support for F11 and F12 in documentation but I have two more question to update documentation accordingly. In doc/syslinux.txt line 515, talking about

I've uploaded a new libvirtd based on the latest release into F12 but it requires a selinux config which we do not have on the node. This is a temporary hack to make it work until we go to an F11 node. Must remember to remove this for F11!! Signed-off-by: Ian Main <imain at redhat.com> --- scripts/ovirt-functions | 5 +++++ 1 files changed, 5 insertions(+), 0 deletions(-) diff

I am trying to calculate the regression for the follwing input data stored in 'data.txt' file.I am reading this and storing it in the variable i .then i am trying to get the predicted value using f1 as dependent and others f2....f10 as independent variables.It is giving the following error. Also i want that i shoul get one predicted value for each row(y). What should i do. Please help me

Dear R helpers,   Following is a R script I am using to run the Fast Fourier Transform. The csv files has 10 columns with titles m1, m2, m3 .....m10.     When I use the following commands, I am getting the required results. The probelm is if there are 100 columns, it is not wise to define 100 commands as fk <- ONS$mk and so on. Thus, I need some guidance to write the loop for the STEP A and

Dear all, I'm using R function "glmmPQL" in "MASS" package for generalized linear mixed model considering the temporal correlations in random effect. There are 1825 observations in my data, in which the random effect is called "Date", and there are five levels in "Date", each repeats 365 times. When I tried

Hi all, I am trying to install OpenSUSE 11.1 as a para-virtualized DomU on an opensolaris2009.06 guest using the xvm packages provided via IPS. I followed the instructions available here: http://www.opensolaris.org/os/community/xen/docs/virtinstall/ but I get the following error when trying to install from a NFS share where I mounted the iso (as far as I understand the only way to get a Linux

Dear RGroup I have a requirement for which I am seeking help. I am looking at automating the last column calculation through R when having the data of the other columns as a dataframe, In excel I can do using the formula function as given below, however, hereagain for the number of observations that come under control, I need to write the formula seperately for each cell and then I can block

Hi Guys, I know you've all got LOTS of work to do pushing v1.0 out but would it be possible for someone to update the main site (ovirt.org)? It still has 0.96 as the latest release, I think the installation instructions are a bit out of date and it still references F10 as being the required base system. Maybe just update the download page with a link to the newest versions and do a quick

Hi! I am new to looping and R in general; and I have sent waaaay to much time on this one problem and am about a hair away from doing it manually for the next two days. So, there is a package that while calculating the statistic creates lists (that look like matrices) in the background. Each item (there are 10 items) has one of these ‘matrix looking list’ that I need to extract data from. The

On Fri, 2 Feb 2007, Nicolas Geoffray wrote: > I have almost completed the implementation of a linux/ppc backend in llvm. Cool! > There were a few things to modify in > lib/Target/PowerPC with a lot of "if (!isDarwin)". Some meta comments: 1. Please don't change PPC -> llvmPPC. I assume that you did this because PPC is a #define in some system header. Please

Hello, in my database i have tables models,marques,cars. I wrote fixtures for models f1: id: 1 marque_id: 1 name: 100 NX f2: id: 2 marque_id: 1 name: 200 SX f3: id: 3 marque_id: 1 name: Almera f4: id: 4 marque_id: 1 name: Patrol f5: id: 5 marque_id: 1 name: Primera f6: id: 6 marque_id: 2 name: CLK f7: id: 7 marque_id: 2 name: CLS f8: id: 8 marque_id:

I want to compute confidence intervals for the random effect estimates for each subject. From checking on postings, this is what I cobbled together using Orthodont data.frame as an example. There was some discussion of how to properly access lmer slots and bVar, but I'm not sure I understood. Is the approach shown below correct? Rick B. # Orthodont is from nlme (can't have both nlme and

Dear list, I have following data, where I want to check if any value in each column is out of range. For example, column "f1" can only take values 1-5, so if any values less than 1 or > 5 will be defined as missing value (i.e. NA), column "f4" can only take values of 1-3 and any values that are outside this interval will be considered as missing values. The below