similar to: creating a count variable in R

I have a problem ordering by descending magnitude a POSIXt object. Can someone help please and let me know how to work around this. My goal is to be able to order my data by DATE and then by descending TIME. I have tried to include as much info as possible below. The problem stems from trying to read in times from a CSV file. I have converted the character time values to a POSIXt object using the

Hi Is the keep alive activated on the phone? On Thu, Aug 11, 2016, 5:36 PM Dovid Bender <dovid at telecurve.com> wrote: > 1) Does it happen every time at the 5 minute work? > 2) Have you done a dump on the client side to see if the NAT device is > dropping the packets? > 3) Is the phone behind a load balance internet connection and is the RTP > port changing? > > >

Hi, I've got a Dell Latitude D830 running 7.1-PRERELEASE/amd64 which I've just csup'd to the -STABLE as of 5-Jan-2009, and after going thru' the std build+install; XOrg now comes up with a blank screen, sometimes interspersed with green dots. I did test out X prior to doing an installworld, and that came up with no problems. However, after doing an installworld, X is now broken.

Hi all, Just installed Asterisk 13 on CentOS 7 and have run into a problem. The Scenario is this: Asterisk is on the internet the Phone, a D40, is behind NAT So someone calls the number and Asterisk routes the call to the D40 Everything works fine and the call is established, but then after 5 min. the caller stops getting audio from the D40 but there is still audio to the D40. using both

Hi all I have a data frame with duplicate columns and i want to remove duplicates by adding rows in each group of duplicates, but have lots of NA's. Data: dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4) names(dfrm) <- c("a", "a", "b", "b", "b") dfrm[3,2:3]<-NA dfrm a a b b b 1 1 1 1 1 1 2 2 2 2 2 2 3

Dear all, let say I have following data frame: > data.frame(x=rnorm(18), y=rep(c("a", "b", "c"), each=6)) x y 1 -1.072152537 a 2 0.382985265 a 3 0.058877377 a 4 -0.006911939 a 5 -2.355269051 a 6 -0.303095553 a 7 0.484038422 b 8 0.733928931 b 9 -1.136014346 b 10 0.503552090 b 11 1.708609658 b 12 -0.294599403 b 13

R users: Thanks in advance  How to generate missing at random (MAR)? assaedi76@yahoo.com Thanks [[alternative HTML version deleted]]

Hi, I have a data frame with two columns. I need to remove duplicated rows in first column, but I need to do it conditionally to values of the second column. Example: Point_counts Psi_Sp 1 A 0 2 A 1 3 B 1 4 B 2 5 B 0

I have a data set with 22 fields and several thousand records in which one field (count) indicates the number of times that each specific combination of the other 21 fields occurred in a bigger and largely unavailable data set. So each record is unique in its combination of field values and has a field that identifies how many multiples of this record actually occurred. Without resorting to

Hello, I have a file which contains a column with age, which is represented in the two following patterns 1. "007/A" or ''007/a" or ''7 /a" ..... In this case A or a means year and I would like to extract only the numeric values eg 7 in the above case if this pattern exits in a line of file. 2. "004/M" or "004/m" where M or m means month

Hello gentlemen, I've discovered an interesting failure on some machine running 4.7. It's so weird so I'd very unlikely notice it at all, but thanks to top(1): when launched, instead of displaying some useful figures it exits with an error: "top: nlist failed". >From quick look it appears that kvm_nlist() returns NULL for nlst[0].n_type. Strange, ignoring; next exit point

I have a data.frame object like: > data.frame(x=c('A','A','B','B'), y=c('Ab','Ac','Ba','Bd')) x y 1 A Ab 2 A Ac 3 B Ba 4 B Bd how could I create a tree structure object like this: |---Ab A---| _| |---Ac | | |---Ba B---| |---Bb Thanks, Zech [[alternative HTML version deleted]]

Dear All, Debuting in R, I'm facing a problem. I have 2 vectors, say 'a' et 'b', and I'd like to merge them according to the proximity of their variable 'time'. How to do to keep elements which satisfy (for example) 'a$time-b$time<0.5'? For example : > a time x 1 1.0 4 2 2.2 5 3 5.2 6 > b time y 1 0 1 2 1 3 3 2 5 4 4 7 5

Hi everyone, Once again I am stuck with a problem I can't seem to figure out. I suppose this learning curve levels off eventually, lol. I am learning on my own with absolutely no background in programming, so if I seem to request help a lot it's not because I am seeking others to do the work for me. I need to assign one of two arrival times to the 'ARRIVE' variable of my

dear R-tists, i am experiencing a problem with the data editor in the windows version of R 1.6.1 envoked with the command 'fix'. the data editor changes the size of large data frames. a simple example illustrates this: ------------------------------------------------------- > dfrm <- data.frame(no=c(1:100000)) > length(dfrm[,1]) [1] 100000 > fix(dfrm) >

I would like to do some operations inside a function using only one value for the last dimension of a table/matrix: tabfn <- function (dfrm, facvec, YN ="event"){ return( Etbl <- do.call(table, dfrm[ , c(facvec, "event") ]) ) # just want Etbl[,,,"TRUE"] or Etbl[,, "TRUE"] or Etbl[,"TRUE"] }

Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i Initialize the filter (i.e. what is appropriate to set m0, and C0 for the example below)?

Hi all, I'm new to the list but have benfited from it quite extensively. Straight to my rather strange question: I have a data frame that contains mapping rules in this way: ACCOUNT, RULE COLUMNS, Effective Date The dataframe comes from a database that stores all dates. What I would like to do is to create a data frame with only the most recent rule for each account. In traditional

Hello R/Splus users.. I am posting in R discussion group in hope of wider response compared to what I received from Splus user groups.... Was wondering if there is any function available in Splus 8.2 that is equivalent to "reshape" of R? Below is a sample dataset. Size [both rows and columns) of the dataset may vary X1 Y1 Y2 Y3 0.25 40 38 22 0.5 44 41

Hi, I am new at R and have been looking for a guide on how to do this with no avail. I have a data set similar to this: X Y 1 2 3 3 4 9 2 4 6 3 9 1 1 7 0 2 5 6 3 8 and I need it to be split into something like this: X Y 1 2 3 3 4 9 2 4 6 3 X Y 9 1 1 7 0 2 5 6 3 8 I am thinking I need to write a loop because my data set is much larger than this