similar to: index and by groups statement

First, many thanks to Frank Harrell for once again helping me out. This actually relates to the next point, which is my contribution to the 'why don't social scientists use R' discussion. I am a hybrid social scientist(child psychiatrist) who trained on SPSS. Many of my difficulties in coming to terms with R have been to do with trying to apply the logic underlying SPSS, with dire

Does sort.int(c(2,NA,4), index.return=TRUE, na.last=NA, method="radix")$ix give the intended result, because I get: > sort.int(c(2,NA,4), index.return=TRUE, na.last=NA, method="radix") $x [1] 2 4 $ix [1] 1 3 With method="shell" and method="quick" in R devel, I get: > sort.int(c(2,NA,4), index.return=TRUE, na.last=NA, method="shell") $x

Hi all, I?m working with a dataset with 9 columns and 2000 rows. Each row represents an individual and one of the columns represents the volume of that individual (measured in cubic meters). I?d like to select a sample from this dataset (without considering any probability of the rows) in which the sum of the volume of the individuals in that sample >= 100 cubic m. I?ll appreciate any

I have data.frame's with IDs and multiple columns. B/c some of IDs showed up more than once, I need sum up colum values to creat a new dataframe with unique ids. I hope there are some cheaper ways of doing it... Because the dataframe is huge, it takes almost an hour to do the task. Thanks so much in advance! Young # ------------------------- examples are here and sum.dup.r is at the

I've found the need to compute a version of order(x,y) where I want the sort order for *increasing* x and *decresing* y ... something we could imagine could be provided in the future as order(x,y, decreasing = c(FALSE, TRUE)) i.e., using a 'vectorized' decreasing argument. {No, I'm not volunteering right now!} I've found the following R-level solution and like to quiz

Hai, I need to add some extra indexing on my AD DB, and im not sure if what the correct/best methode is. And is there any reason i should not do this, i did search on the wiki, but could not find the info i searched for. I know the following. Checked the current index. ( source info : https://wiki.samba.org/index.php/LDB ) ldbsearch -H /var/lib/samba/private/sam.ldb -s base -b @INDEXLIST

I have a large installation >20k users. We're using samba4 for AD Authentication, and also email address validation. I'm trying to edit the @INDEXLIST in sam.ldb to add an index on otherMailbox to speed up searches (0.05 sec for indexed, vs 2.5 sec for non-indexed searches) I'm finding that when I use ldbedit to do this, it appears to add the additional @IDXATTR. However, when I

I have a system running Samba 4 Alpha 11, and I seem to have a corrupted LDB file in my directory. (Probably the result of taking a backup without using tdbbackup). Right now, running tdbbackup on the file produces an error message similar to the following: Failed to insert into DC=WWW,DC=EXAMPLE,DC=COM.ldb.bak.tmp failed to copy DC=WWW,DC=EXAMPLE,DC=COM.ldb If I run ldbsearch -H

i have the following constructed and running very well,, thanks to Gabor Grothendieck for his help. >data.info <- c("station.id", "year", "date", "max.discharge") > > for(i in 1:num.files) { + station.id <- substring(data[i], 1,8) + DF <- read.table(data[i], sep=",", blank.lines.skip = TRUE) + z <- zoo(DF[,4],

I verified with my vendor that indeed we are using an ATI ES1000 Video Card, not an Nvidia as previously thought. I am getting the following error -any suggestions? [38] -1 0 0x0000b400 - 0x0000b403 (0x4) IX[B] [39] -1 0 0x0000b480 - 0x0000b487 (0x8) IX[B] [40] -1 0 0x0000b800 - 0x0000b803 (0x4) IX[B] [41] -1 0 0x0000b880 - 0x0000b887

Full_Name: Naoki Takebayashi Version: 0.65.0+R-release.diff (Oct 6, 1999) OS: Linux/Alpha Submission from: (NULL) (129.79.224.171) This will fix the "problem 2 (crash in fft)" in Bug ID #277 On Linux/Alpha, make check failed because R could not handle the following example in base-Ex.R ##___ Examples ___: # The Old Faithful geyser data data(faithful) : : ## Missing values: x <-

What is going on here? In the lines ending in #### the inputs and outputs are identical yet one gives a warning and the other does not. a1 <- `rownames<-`(anscombe[1:3, ], NULL) a2 <- anscombe[1:3, ] ix <- 5:8 # input arguments to #### are identical in both cases identical(stack(a1[ix]), stack(a2[ix])) ## [1] TRUE identical(a1[-ix], a2[-ix]) ## [1] TRUE res1 <-

They differ in whether the row names are "automatic": > .row_names_info(a1) [1] -3 > .row_names_info(a2) [1] 3 Best, -Deepayan On Tue, 14 Nov 2023 at 08:23, Gabor Grothendieck <ggrothendieck at gmail.com> wrote: > > What is going on here? In the lines ending in #### the inputs and outputs > are identical yet one gives a warning and the other does not. > >

Hi, Consider the following example: sort(10:1, partial=3) ## 1 2 3 7 6 5 4 8 9 10 sort(10:1, index=T) ## $x: 1 2 3 4 5 6 7 8 9 10 ## $ix: 10 9 8 7 6 5 4 3 2 1 sort(10:1, partial=3, index=T) ## 1 2 3 7 6 5 4 8 9 10 The first 2 calls gave expected returns; however, the third one did not returned an index as requested. I could not find anything about it in

In that case identical should be FALSE but it is TRUE identical(a1, a2) ## [1] TRUE On Tue, Nov 14, 2023 at 8:58?AM Deepayan Sarkar <deepayan.sarkar at gmail.com> wrote: > > They differ in whether the row names are "automatic": > > > .row_names_info(a1) > [1] -3 > > .row_names_info(a2) > [1] 3 > > Best, > -Deepayan > > On Tue, 14 Nov

Also why should that difference result in different behavior? On Tue, Nov 14, 2023 at 9:38?AM Gabor Grothendieck <ggrothendieck at gmail.com> wrote: > > In that case identical should be FALSE but it is TRUE > > identical(a1, a2) > ## [1] TRUE > > > On Tue, Nov 14, 2023 at 8:58?AM Deepayan Sarkar > <deepayan.sarkar at gmail.com> wrote: > > > >

On Tue, 14 Nov 2023 at 09:41, Gabor Grothendieck <ggrothendieck at gmail.com> wrote: > > Also why should that difference result in different behavior? That's justifiable, I think; consider: > d1 = data.frame(a = 1:4) > d2 = d3 = data.frame(b = 1:2) > row.names(d3) = c("a", "b") > data.frame(d1, d2) a b 1 1 1 2 2 2 3 3 1 4 4 2 > data.frame(d1,

Hey all Im having a problem... Ok, this is the situation... I have a small product image, on which ive floated a div over it, and defined it as draggable. Now, this works, and i can drag it around no problem. great. but then, what i want to do is, based on the location of that dragable element from the top and the left, to move (using the Effect.MoveBy method) a larger image - so effective

Hi, In the example you showed: m1<- matrix(0,length(vec),max(vec)) 1*!upper.tri(m1) #or ?m1[!upper.tri(m1)] <-? rep(rep(1,length(vec)),vec) #But, in a case like below, perhaps: vec1<- c(3,4,5) ?m2<- matrix(0,length(vec1),max(vec1)) ?indx <- cbind(rep(seq_along(vec1),vec1),unlist(tapply(vec1,list(vec1),FUN=seq),use.names=FALSE)) m2[indx]<- 1 ?m2 #???? [,1] [,2] [,3] [,4] [,5]

I have got tdbsam as backend in smb.conf passdb backend = tdbsam When user change password from windows XP file passdb.tdb schould change date because was updated, but I have still the same date IX 18 10:30. [root@serwer private]# ls -al razem 76 drwx------ 2 root root 4096 IX 11 20:25 . drwxr-xr-x 7 root root 4096 XI 2 15:14 .. -rw------- 1 root root 36864 IX 25 07:57 passdb.tdb -rw-------