similar to: Question about difftime()

Dear all, This is the first time I am sending mail to the mailing list, so I hope I do not make a mistake... The last months I have been working on my MSc thesis project on performing data mining techniques on user logs of a software-as-a-service application. The main problem I am experiencing is how to process the huge amount of data. More specifically: I am using R 2.10.1 in a laptop with

Dear R experts, I would really appreciate if you had an idea on how to use more efficiently the aggregate method: More specifically, I would like to calculate the mean of certain values on a data frame,? grouped by various attributes, and then create a new column in the data frame that will have the corresponding mean for every row. I attach part of my code: matchMean <-

On 11/27/24 08:30, Sorkin, John wrote: > I am an old, long time SAS programmer. I need to produce R code that processes a dataframe in a manner that is equivalent to that produced by using a by statement in SAS and an if first.day statement and a retain statement: > > I want to take data (olddata) that looks like this > ID Day > 1 1 > 1 1 > 1 2 > 1 2 > 1 3 > 1 3 >

Check out the dplyr package, specifically the mutate function. # Create new column based on existing column value df <- df %>% mutate(FirstDay = if(ID = 2, 5)) df Repeat as needed to capture all of the day/firstday combinations you want to account for. Like everything else in R, there are probably at least a dozen other ways to do this, between base R and all of the library packages

Was wondering when this would be suggested. But the question was about getting the final dataframe... newdta <- olddta newdta$FirstDay <- ave(newdata$date, newdata$ID, FUN = \(x) x[1L]) On November 27, 2024 11:13:49 AM PST, Rui Barradas <ruipbarradas at sapo.pt> wrote: >?s 16:30 de 27/11/2024, Sorkin, John escreveu: >> I am an old, long time SAS programmer. I need to

?s 16:30 de 27/11/2024, Sorkin, John escreveu: > I am an old, long time SAS programmer. I need to produce R code that processes a dataframe in a manner that is equivalent to that produced by using a by statement in SAS and an if first.day statement and a retain statement: > > I want to take data (olddata) that looks like this > ID Day > 1 1 > 1 1 > 1 2 > 1 2 > 1 3 >

I am an old, long time SAS programmer. I need to produce R code that processes a dataframe in a manner that is equivalent to that produced by using a by statement in SAS and an if first.day statement and a retain statement: I want to take data (olddata) that looks like this ID Day 1 1 1 1 1 2 1 2 1 3 1 3 1 4 1 4 1 5 1 5 2 5 2 5 2 5 2 6 2 6 2 6 3 10 3 10 and make it look like this: (withing each

Hello, I noticed a strange behavor, where I would like to ask for help. I have set up a few virtual mailboxes using the Virtual plugin. These mailboxes are: - Unread (all undread in all mailboxes) - LastDay (last 24h of all mailboxes) - LastWeek (last 7 days of all mailboxes) ... The virtual mailboxes in general are working great. However, there is one annoying behavior I would like to fix.

In my pursuit of integrating samba password authentication with our own stuff, I've been looking at ways on synchronizing the two. And here are the two problems for which I hope to get either solution: a) smbpasswd will not pass down spaces to whatever is called for synchronization. Barely looking at the synchronization routine, it scans as a string, which would skip anything after a space.

Hey Bjorn, Were you able to figure this out or is it still broken for you? Our scenario is a little bit different, but I have a theory as to what may be going wrong. What linker are you using when you compile your project with clang-cl? I am wondering whether the version of the linker and/or the libraries that you are using is too old in comparison to the one used for the clang compilation.

To whomever may be of help, I am a student in a graduate modeling class at the University of North Carolina at Wilmington. I am trying to get a STELLA model converted into R. I am in the process of trying to 're-write' the script into R, but I seem to be missing pieces (i.e. parm values) that are keeping me from being able to replicate this model into R. Does anyone have an idea of a

Hello Centos users! I'm doing a Centos 6 desktop oriented remix called Stella. This has been brewing since the summer and it's starting to get ready. :-) I've backported a lot of packages from Fedora and Rpmfusion and I bundle several other repos, too, resulting in a big range of software available, including but not limited to: LibreOffice, VLC, MPlayer, Shutter, Arista, Java,

Full_Name: Stella David Version: 2.1.0 OS: mingw32 Submission from: (NULL) (137.250.161.136) It seems that rank doesn't work right on vectors containing negative values. If the negative value is the first component or there are only two components, it works, but if the negative value is somewhere in the middle there's a problem. Here are my examples: > # wrong: > x<-

I have this problem with records that have to be alligned on end- and startdate. I came up with the following. but am not convinced that this is the best way to tackle this problem. Anyone care for a braindump? def head_to_tail # Remove days that have startdate >= self.startdate AND enddate <= self.enddate # # before after # # |=====| |=====|

Hello R Users, While I have attempted to dig into the R help files and I have not identified the answer to these questions, I apologize in advance if my questions were answered in the past. I also recognize that one of my questions unfortunately verges on statistical rather than code territory. I have two rather unrelated questions about using the sem and polycor packages for a relatively

Hello, I'm using dovecot on my personal / private email server. I have set up virtual mailboxes in my inbox namespace like this: namespace inbox { inbox = yes prefix = "Virtual/" separator = / location = "virtual:~/.emails_virtual:LAYOUT=fs:INDEX=dovecot.virtual.index:LISTINDEX=dovecot.virtual.list.index" list = yes subscriptions = yes mailbox { auto =

Hi ! Is There how I use an alias for a Samba Server ? I tried with dns alias and don't work ! i.e. Name' Samba Server is PARATY, and I'd like that the workstations could communicate with this Samba Server, but using the name SambaPDC. Is it possible ? Thanks, Bruno Stella brunostella@trt15.gov.br Setor de Redes - Secretaria de Informatica Tribunal Regional do

Hello ! I have a Samba Server with LDAP(OpenLDAP) authentication and Windows Workstation that login in domain working all right. Now, I need to configure Linux workstations to log in Samba Server Domain. The Linux workstatios users are all in LDAP. How do I configure to execute the 'login script' when a Linux user log in his linux workstation ? Thanks for any help ! Bruno Stella

Hi, I wrote a function with three inputs fun(x,y,z). x is a matrix of three vectors combined with cbind. e.g. x1<-(1,2,3,4) x2<-(2,3,4,5) x3<-(3,4,5,6) x<-cbind(x1,x2,x3) y is a vector e.g y<-c(7,8,9) z is a real number e.g. z<-2.5 If a give the function an input like this, I get 'NA' in return. If I give the function a vector e.g c(1,2,3) instead of 'x'

Hi, How can a function in R handle different types of input? I have written a function, which should calculate the slope from several 3-time-point measurements by linear regression 4 three-time-point-measurements: x<-cbind(c(1,2,3,4),c(2,3,4,5),c(3,4,5,6)) time points: time<-c(1,3,9) function for calculating the slope by linear regression: fit<-function(xx,t){slope <-