similar to: Simple reshape problem I am completely missing

I need to understand how and why dcast() adds NAs to a data frame that contained no missing values. The database table of chemical concentrations has all missing values removed because they cannot contribute to data analyses. The structure of the R data frame of these data have no NA values, and neither does the data frame resulting from applying the reshape2 melt() function to it. However,

Good morning, Is there a way to get table() to default to including NAs - as in... table(..., useNA='ifany') or table(..., useNA='always') or table(..., exclude=NULL) ? I can't see a way under table() or options() or searching the archives (probably using the wrong keyword?). > t1 <- c(1,2,3,3,3,2,NA,NA,NA,NA) > table(t1) t1 1 2 3 1 2 3 I keep forgetting to

Hi all, Here are some benchmarks that I''ve done using Xen. However, before I get started, let me explain some of configuration details... Xen Version SPECjbb WebBench Linux Distribution Debian 3.1 HT disabled Linux Kernel 2.6.12.2 Host Patch CK3s Here are the initial benchmarks SPECJBB WebBench 1 Thread 1 Client 2 Clients 4 Clients 8 Clients BOPS TPS TPS TPS TPS Host

Hi, I am trying to bootstrap the difference between each parameters among two non linear regression (distributed loss model) as following: # data.frame > Raies[1:10,] Tps SolA Solb 1 0 32.97 35.92 2 0 32.01 31.35 3 1 21.73 22.03 4 1 23.73 18.53 5 2 19.68 18.28 6 2 18.56 16.79 7 3 18.79 15.61 8 3 17.60 13.43 9 4 14.83 12.76 10 4 17.33 14.91 etc... # non

Hi all We are implementing samba-ldap to act as an nt pdc and are seeing performance problems. We have a 1ghz, 3gb Ram, 36gb box that is running samba-2.2.5 and openldap-2.0.23 under redhat 7.3 with kernel 2.4.18-3. Clients are all Win2k SP3. All the ldap requests are to the localhost interface. The box is acting as the PDC for the domain, and also sharing diskspace and printers. When we get

Dear listers, I am trying to fit a model using nlsList() using alternately a SSfol() selfstart function or its developped equivalent formulae. This preliminary trial works well mydata<-groupedData(Conc~Tps|Organ,data=mydata) mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata) as well as a developped form: mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) *

Hey! I have a strange condition in one of the servers that I don't where to start looking. I login to the server via SSH (cant doit any other way) and anything that I type is slow HTTP sessions timeout waiting for screen redraw. So, the server is acting "slow". server is bare metal. no virtual services. no alarms in the disk raid note: server was restarted because of power failure.

Dear friends. Do Polr in Mass change the sign of the coefficients ? Example (McCullagh 1980) options(contrasts=c("contr.treatment","contr.poly")) library(Mass) freq <- c(19,29,24,497,560,269) yy <- ordered(gl(3,1,6)) z4 <- polr(yy~x,weights=freq) > z4 Call: polr(formula = yy ~ x, weights = freq) Coefficients: x2 -0.6026492 Intercepts: 1|2

Dear Fellow R Users, I have recently come across a weird problem with help.search: > help.search("tps") Error in rbind(...) : number of columns of matrices must match (see arg 8) > This happens no matter what I search for... Any thoughts ? Thanks, Tolga Please follow the attached hyperlink to an important disclaimer

Thanks for all the helpful responses. I include the data file and the syntax file for reference. Again, if I use the fields function, as is, I get the message: Error in svd(tempM) : error 159 in dsvdc using traceback, I get: > traceback() 4: stop(paste("error ", z$info, " in dsvdc")) 3: svd(tempM) 2: Krig(x, Y, cov.function = rad.cov, m = m, decomp = decomp,

Dear R community, Please, can you help me with a problem concerning bootstrap. The data table called «RMika», contained times (Tps) and corresponding concentration of a chemical in a soil (SolA). I would like to get, by bootstraping, 10 estimations of the parameters C0 and k from the function: SolA = C0*exp(-k*Tps). # First, I fit the data and all is OK >

I updated an i386 system to b39 yesterday, and noticed this when running iostat: r/s w/s kr/s kw/s wait actv wsvc_t asvc_t %w %b device 0.0 0.5 0.0 10.0 0.0 0.0 0.0 0.5 0 0 c0t0d0 0.0 0.5 0.0 10.0 0.0 0.0 0.0 0.6 0 0 c0t1d0 0.0 65.1 0.0 119640001.5 0.0 0.0 0.0 0.3 0 2 c0t2d0 0.0 65.1 0.0 119640090.2 0.0

Hi Erick, what was the value of 'si' in top ? Best Regards, Strahil Nikolov ?? 3 ??? 2020 ?. 18:48:30 GMT+03:00, Erick Perez - Quadrian Enterprises <eperez at quadrianweb.com> ??????: >It was found that the software NIC team created in Centos was having >issues due to a failing network cable. The team was going berserk with >up/down changes. > > >On Fri, Jul 3,

I have a UIP200 on the way for eval. Does anyone have tips or tricks to get it working right away with * ? I hate having to go through the pain someone else braver than I went through already. :) Tim --

Hello, I was wondering whether anyone out there knows of the solution to a problem that I'm having with the Fields package. I am getting the error message when I try and run the fields function tps (thin plate splines). Namely, for two different sets of variables, I get: > bout <- Tps( bvolcap, bdsm) Error in svd(tempM) : error 159 in dsvdc > wout <- Tps( wvolcap, wdsm)

Hi everybody, I'm a new R french user. Sorry if my english is not perfect. Hope you'll understand my problem ;) I have to work on temperature data (35000 lines in one file) containing some missing data (N/A). Sometimes I have only 2 or 3 N/A following each other, but I have also sometimes 100 or 200 N/A following each other. Here's an example of my data, when I have only small gaps

Issue: Vista reads slowly from a samba server. This appears to pop up periodically here and elsewhere. My samba.conf file has: [homes] ... vfs objects = readahead As suggested elsewhere. Writes are approximately 17-18MB/s which is acceptable. Reads are in the 8MB/s range which is appalingly slow. Using linux smbclient and windows XP clients I can read at 25+MB/s. I've enabled vfs

Dear R users, I was wondering how I can convert a raster image (that made R through interpolation) into an ascii or csv format? this is the last line of my command p <- interpolate(r, tpsfit) So p is my raster file which I want to convert into ascii or csv Many thanks Regards Mintewab

Hi dear R-users, I have a question about a function I'm trying to improve. How can I stop the function calculation at the last numeric value of my data? The problem is that the end of my data contains missing values (NAs). And the aim of my function is to compare the first numeric value with the next one (till the end). For the moment, It works well when my data doesn't contains any NAs

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: