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I have a samba 2.2.8a PDC, no windows servers at all. The local network works. Conan, the PDC also acts as a WINS server. Postie, the DHCP server sets: option netbios-name-servers 192.168.1.241 ; option netbios-node-type 2 ; All clients have lmhosts file with: 192.168.1.241 conan #pre #dom:sjsa 192.168.1.242 postie #pre Last week I needed to reinstall a computer, named pixel On server I ran smbpasswd -a -m pixel to...

For anyone who sees this conversation. There is a bug in installation of igraph in R language in Ubuntu. There is a solution in stackoverflow. We have to use the devtools. Write this code: install.packages("devtools") library(devtools) install_github("igraph/rigraph") If there are errors installing devtools just install any package that comments. On Nov 5, 2017 00:07,

oky.. thank you very much to all of you On Sat, Sep 16, 2017 at 2:06 PM, Eric Berger <ericjberger at gmail.com> wrote: > You can just use the same code that I provided before but now use your > dataset. Like this > > df <- read.csv(file="data2.csv",header=TRUE) > dates <- as.Date(paste(df$year,"-01-01",sep="")) > myXts <-

Hello, Maybe something like the following. splitDF <- function(data, col, s){ n <- nrow(data) inx <- which(data[[col]] %in% s) lapply(seq_along(inx), function(i){ k <- if(inx[i] < n) (inx[i] + 1):(inx[i + 1]) data[k, ] }) } splitDF(DF, "name", split_str) Hope this helps, Rui Barradas On 5/19/2018 12:07 PM, Christofer Bogaso

Sorry, I was not clear enough. The reason I want to use mice::mice() rather than library(mice); mice() is that I want to call it from my own package. But the reprex works from the command line as well, straight after launching R: mice::mice(airquality) #> Error in check.method(setup, data): The following functions were not found: mice.impute.pmm, mice.impute.pmm The mice.impute functions

Dear Bert and Huzefa, Apologies for the late reply, my account got hacked and I have just managed to recover it. Thank you very much for your replies and the solutions. Both work well. I was wondering if there was any way to ensure (force) that all possible combinations show up in the output. The full dataset has 25 cities but of course people have not moved from Boston to all the other 24

Thank you Duncan and Rui for your time and interest in this issue. Maybe it is a problem with Windows 7 and Spanish, and not Windows 10. Let's wait for someone with the same enviroment, before assuming it's a problem with my PC/configuration. 2017-06-05 14:37 GMT-05:00 Duncan Murdoch <murdoch.duncan at gmail.com>: > For what it's worth, I tried setting my Region

I see the problem on Windows 10, R-3.4.0, R.exe. It is not compiled for debugging but gdb gives some information when I attach the debugger after the 'R..has stopped working' popup appears. I don't know how reliable it is: (gdb) info threads Id Target Id Frame * 4 Thread 11848.0x1500 0x00007ffe38dc8861 in ntdll!DbgBreakPoint () from

Dear Berger and Jim Can you see my eviews example in the annex? (scattersample.jpg) Sincerely Engin 2017-11-27 13:27 GMT+03:00 Eric Berger <ericjberger at gmail.com>: > LOL. Great reply Jim. > (N.B. Jim's conclusion is "debatable" by a judicious choice of seed. e.g. > set.seed(79) suggests that making the request more readable will actually > lower the number of

Hi Bill, I put stringsAsFactors = FALSE still did not work. tdat <- read.table(textConnection("A B C Y A12 B03 C04 0.70 A23 B05 C06 0.05 A14 B06 C07 1.20 A25 A23 A12 3.51 A16 A25 A14 2,16"),header = TRUE ,stringsAsFactors = FALSE) tdat$D <- 0 tdat$E <- 0 tdat$D <- (ifelse(tdat$B %in% tdat$A, tdat$A[tdat$B], 0)) tdat$E <- (ifelse(tdat$B %in% tdat$A, tdat$A[tdat$C], 0))

Thank you Rui, I did not get the desired result. Here is the output from your script A B C Y D E 1 A12 B03 C04 0.70 0 0 2 A23 B05 C06 0.05 0 0 3 A14 B06 C07 1.20 0 0 4 A25 A23 A12 3.51 1 1 5 A16 A25 A14 2,16 4 4 On Wed, Dec 13, 2017 at 4:36 PM, Rui Barradas <ruipbarradas at sapo.pt> wrote: > Hello, > > Here is one way. > > tdat$D <- ifelse(tdat$B %in% tdat$A,

hi, thank you for attempting this. it looks like your unix machine unzipped the txt file without corruption -- if you copied over the same txt file to windows 7, i don't think that would reproduce the problem? i think it needs to be the corrupted text file where R.utils::countLines( txtfile ) gives 809367. i am able to reproduce on two distinct windows machines but no guarantee i'm

The original file had a lot of trailing null bytes so I tried making a similar file with: tf <- tempfile(); file <- file(tf, "wb") for(i in 1:(2^15-1))writeBin(rep(as.raw(32:127), len=2^16), file) for(i in 1:(2^15-1))writeBin(rep(as.raw(0L), len=2^16), file) close(file) log2(file.size(tf)) #[1] 31.99996 Reading this with readLines() caused R-3.4.0 to segfault in Rf_con_pushback

IIUC, this would be an isssue with MICE (or rather "mice"), which isn't Ole's. It could be a namespace issue, but it could also be that some start-up code is not executed if library() is bypasses (see .onAttach et al.). -pd > On 4 Oct 2017, at 17:00 , Michael Dewey <lists at dewey.myzen.co.uk> wrote: > > Dear Ole > > One of the experts may be able to

or in base R : ?xtabs ?? as in: xtabs(~previous_location + current_location,data=x) (You can convert the 0s to NA's if you like) Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, May 8, 2018 at 9:21 AM, Huzefa

You can just use the same code that I provided before but now use your dataset. Like this df <- read.csv(file="data2.csv",header=TRUE) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) head(myXts) #The last command "head(myXts)" shows you the first few rows of the xts object year cnsm incm wlth

Assuming the input data.frame, DF, is of the form shown reproducibly in the Note below, to convert the series to zoo or ts: library(zoo) # convert to zoo z <- read.zoo(DF) # convert to ts as.ts(z) # Note: DF <- structure(list(year = c(1980, 1981, 1982, 1983, 1984), cnsm = c(174, 175, 175, 172, 173), incm = c(53.4, 53.7, 53.5, 53.2, 53.3), with = c(60.3, 60.5, 60.2, 60.1, 60.7)),

Hello Rui, Thanks for your helpful suggestions. Just for illustration, let's use the well known Duncan dataset of prestige vs education + income that is contained in the "car" package. Suppose I wish to use boot function to bootstrap a linear regression of prestige ~ education + income and use the following script: duncan.function <- function(data, indices) {data =

You do not appear to have read the Posting Guide mentioned at the bottom if this and every posting on the mailing list. Only a very few attachment types are allowed through the mailing list... and due to the way many email programs fail to identify them properly, even those few types may not make it through. Also, this is a plain text email list... any time you send HTML-formatted email it gets

LOL. Great reply Jim. (N.B. Jim's conclusion is "debatable" by a judicious choice of seed. e.g. set.seed(79) suggests that making the request more readable will actually lower the number of useful answers. :-)) On Mon, Nov 27, 2017 at 11:42 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Engin, > Sadly, your illustration was ambushed on the way to the list. Perhaps