similar to: Why does the graph converge?

No..i am not a full time rails developer...i code in pl/sql for paying my bills...and i am just working on a pet project...so i had some trouble in doing..what i specify in the subject.....now somehow i solved this problem...so those interested can look at the code at: http://hemant.wordpress.com/2006/04/25/file_column-and-how-the-fuck-it-handles-multiple-files/ I write this mail and

On 8/7/20 12:00 PM, Rowland penny via samba wrote: > On 07/08/2020 19:46, Simon Matthews via samba wrote: >> I have a network with a Samba server (Samba 4, but running as an old >> NT-style domain), Windows and Linux clients. > You really should consider upgrading to AD, >> Is there any way to have the Windows client access map to just "user", >> with its

On 07/08/2020 20:12, Simon Matthews wrote: > > The client is running CentOS 7: > > # cat /etc/redhat-release > CentOS Linux release 7.8.2003 (Core) > > After another attempt, I have successfully joined the linux client to > the domain: > > # net rpc join MEMBER? -S raidserver -U root%<password> > Using short domain name -- BLUE > Joined 'TURQUOISE'

On 8/7/20 1:57 PM, Simon Matthews wrote: > On 8/7/20 12:58 PM, Rowland penny via samba wrote: >> On 07/08/2020 20:12, Simon Matthews wrote: >>> >>> The client is running CentOS 7: >>> >>> # cat /etc/redhat-release >>> CentOS Linux release 7.8.2003 (Core) >>> >>> After another attempt, I have successfully joined the linux

HI: I need ideas on how to make this code shorter (maybe with a second loop?). The code as it is works, but in this case I only have 14 samples, but it will become insane with more, so I need a way to make it more automatic. The problem is that the output from ts1, ts2, and so on is a vector with more than one value, so I do not know how to solve this. Thanks Prenewbie The code is the

Hello - I am having trouble extracting data from NetCDF data files using RNetCDF. The data files each have 3 dimensions (longitude, latitude, and a date) and 3 variables (latitude, longitude, and a climate variable). Here is some of the output from print.nc for clarity: ----- dimensions: month = UNLIMITED ; // (1368 currently) lat = 3105 ; lon = 7025 ; variables: float

> From: Jean-Louis Abitbol > > Dear All, > > I would like to merge a data frame such as: > > > basetab > subject dose cmax > 1 1031 50 21.8 > .... > > with the result of a by processing such as: > > > tmax<-by(pkga,subject,f.tmax) > > tmax > subject: 1031 > [1] 6 > --------------------------------------------------

On 8/7/20 12:58 PM, Rowland penny via samba wrote: > On 07/08/2020 20:12, Simon Matthews wrote: >> >> The client is running CentOS 7: >> >> # cat /etc/redhat-release >> CentOS Linux release 7.8.2003 (Core) >> >> After another attempt, I have successfully joined the linux client to >> the domain: >> >> # net rpc join MEMBER -S

Forgive my poor English. There is Tmax Window, the 1st windows XP compatible proprietary OS from Korea. Tmax company showed screenshot of Tmax Windows. But it is known as they mixed images with real XP and OpenOffice suite screenshots. http://mr-dust.pe.kr/entry/Tmaxwindow-screenshot-failed Tmax Window is doubtful about stolen ReactOS source code: This is a post of a tmax developer.

All, I''m populating a view with checkboxes in a list. I want to be able to assign to my has_many relationship using the post values of these checkboxes. Essentially, I want to populate the relationship table which will create the correct join values in my model. Here is my check_box_tag code: <%= check_box_tag("@current_job[target_list_ids][]",

Hi, I have R 2.6.0 with updated lme4 and Matrix packages, and I am trying to fit a nonlinear multilevel model. I get the following error message: Error in nlmer(f ~ grModel(x, w, Tmin, Tmax, Topt, kopt, m) ~ kopt | flat, : gradient attribute of evaluated model must be a numeric matrix and I wonder what this may indicate. The nonlinear model I try to fit is as follows: > grModel

I'm trying to understand what goes on in the process that nls() uses. This converges without much drama: > rate.nls <- nls(Dev ~ exp(rho * (T)) - exp(rho*Tmax - (Tmax - T)/del)+ + lam , data = xx, trace = TRUE, + start = c(rho = 0.15, del = 7, lam = .02, Tmax = 30)) 599.7841 : 0.15 7.00 0.02 30.00 4.69849 : 0.14673457 6.83443060 -0.01417782

Hi, have anybody a hint /starting point how i can enlarge my code that's posiible for me make any calculaton's with variables in the 64 subset's. Example: I want calculate difference of two variables inside every of the 64 subset data.frames and getting this value in tList! Many thanks, Christian tasign <- paste("tList[[n]] <- try(dtree[dtree$class02 ==

Hi all! I have written some code in C for simulating the fate of population using a dll loaded in R. During this simulation the population may go extinct such that the length of its trajectory is unknown beforehand. I wonder there is a way to define the size of the result in C and make it known to R to get the vector appropriately. I have defined the output size very much larger than

I'm trying to make a function that will output the exponent... so f2(2,2) = 4 and f2(2,3)=8. But I don't want to just use the x^n function, I want to do it another way, and without a recursion. I did the follow code but for some reason it doesn't work. Help please? f2 <- function(x, n) #without recursion { y <- 1 if (n==0) {return(1)} else { if (length(y) < (n+1) { y

Dear list, I was trying to use the R API for optimization method "Simulated annealing" void samin(int n, double *x, double *Fmin, optimfn fn, int maxit, int tmax, double temp, int trace, void *ex); but I encountered the following problem: The implementation of the function samin (as seen in src/main/optim.c) passes its void * argument "ex" into the function

I have a set of time-series climate data with missing entries. I need to add rows for these missing entries to this data set. The only way I know to do this is unsing a foreloop, but this won't work on a list. I've tried to convert the list to a data frame, but that won't happen, either. I want to fill rows in this table: > newtest[10:15,] yrmos yearmo snow.sum snow.mean

Hello, I am an R newbie, trying to use lsoda to solve standard Lotka-Volterra competition equations. My question is: how do I pass a parameter that varies with time, like say, phix <- 0.7 + runif(tmax) in the example below. # defining function lotvol <- function(t,n,p){ x <- n[1]; y <- n[2] rx <- p["rx"]; ry <- p["ry"] Kx <-

I am trying to run the following code in R on a Linux cluster. I would like to use the full processing power (specifying cores/nodes/memory). The code essentially runs predictions based on a GAM regression and saves the results as a CSV file for multiple sets of data (here I only show two). Is it possible to run this code using HPC packages such as Rmpi/snow/doParallel? Thank you!

Dear all Im new in R I have a necdf data set that I want to plot : this is my data set [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 4 dimensions:" [1] "longitude Size: 127" [1] "latitude Size: 110" [1] "ht Size: 1" [1] "t Size: 1680" [1] "------------------------" [1] "file Tmax.DJF.daily.1981_1999.echama2.nc has 1