search for: id5

...ct those individuals where there is 'no interaction' (i.e. where these individuals are not within a specified distance threshold from another individual) and give these individuals a unique Group ID containing that one individual. i.e. ID Group 1 ID1 1 2 ID3 2 3 ID4 3 4 ID5 4 5 ID7 5 6 ID8 6 7 ID9 7 What I need assistance with is allocating associations with a unique group id. i.e. If we have interactions between "ID2_ID6", "ID6_ID2", "ID6_ID10", "ID10_ID6" as in the example code... ID Group 1 ID1...

Hello, Is there a simple and fast function that returns a vector of the number of replications for each object of a vector ? For example : I have a vector of IDs : ids <- c( "ID1", "ID2", "ID2", "ID3", "ID3","ID3", "ID5") I want the function returns the following vector where each term is the number of replicates for the given id : c( 1, 2, 2, 3,3,3,1 ) Of course I have a vector of more than 40 000 ID and the function I wrote (it orders my data and checks on ID:Name of the data if the next term is the s...

...Therefore I might not have characteristics on all the friends listed in the data and I want to restrict my data to only those friends that I also have as respondents. The data (without characteristics) look like this: *resp f1 f2 f3 f4 f5* ID1 ID5 ID37 ID6 ID2 ID53 ID2 ID1 ID4 ID17 NA NA ... Now, let's say that "ID37" never appears as a respondent, then I want to replace that value with a NA so that it looks like this: *resp f1 f2 f3...

...t;,1:K), N, TRUE), # large groups (char) id2 = sample(sprintf("id%03d",1:K), N, TRUE), # large groups (char) id3 = sample(sprintf("id%010d",1:(N/K)), N, TRUE), # small groups (char) id4 = sample(K, N, TRUE), # large groups (int) id5 = sample(K, N, TRUE), # large groups (int) id6 = sample(N/K, N, TRUE), # small groups (int) v1 = sample(5, N, TRUE), # int in range [1,5] v2 = sample(5, N, TRUE), # int in range [1,5]...

...300+ subjects (ID1, ID2, ID3, ...) at 3000+ genetic locations (SNP1, SNP2, SNP3...). A small subset of the data is shown below: SNP_ID SNP1 SNP2 SNP3 SNP4 Maj_Allele C G C A Min_Allele T A T G ID1 CC GG CT AA ID2 CC GG CC AA ID3 CC GG nc AA ID4 _ _ _ _ ID5 CC GG CC AA ID6 CC GG CC AA ID7 CC GG CT AA ID8 _ _ _ _ ID9 CT GG CC AG ID10 CC GG CC AA ID11 CC GG CT AA ID12 _ _ _ _ ID13 CC GG CC AA The name of the data file is Kgeno. What I would like...

Dear R community I have a two data set called "Elder" and "Younger". This is my code for simple merge. Elder <- data.frame(   ID=c("ID1","ID2","ID3"),   age=c(38,35,31)) Younger <- data.frame(   ID=c("ID4","ID5","ID3"),   age=c(29,21,31)) mer <- merge(Elder,Younger,by="ID", all=T) Output I am expecting: ID    age ID1  38 ID2  35 ID3  31 ID4  29 ID5  21 It looks very simple.  But I need help.  When I run the code it gives me age.x and age.y. thank you -- View this messa...

...number > >>>> of replications for each object of a vector ? > >>>> For example : > >>>> I have a vector of IDs : > >>>> ids <- c( "ID1", "ID2", "ID2", "ID3", "ID3","ID3", "ID5") > >>>> > >>>> I want the function returns the following vector where > each term is the > >>>> number of replicates for the given id : > >>>> c( 1, 2, 2, 3,3,3,1 ) > >>> > >>> One-liner: > >>&gt...

...# large groups (char) > id2 = sample(sprintf("id%03d",1:K), N, TRUE), # large groups (char) > id3 = sample(sprintf("id%010d",1:(N/K)), N, TRUE), # small groups (char) > id4 = sample(K, N, TRUE), # large groups (int) > id5 = sample(K, N, TRUE), # large groups (int) > id6 = sample(N/K, N, TRUE), # small groups (int) > v1 = sample(5, N, TRUE), # int in range [1,5] > v2 = sample(5, N, TRUE), # int in...

It seems it was only locking up in the context of nouveau_hw_save_vga_fonts, when it actually did something (because the console wasn't already in graphics mode). Signed-off-by: Francisco Jerez <currojerez at riseup.net> --- drivers/gpu/drm/nouveau/nouveau_hw.c | 9 +++++++++ 1 files changed, 9 insertions(+), 0 deletions(-) diff --git a/drivers/gpu/drm/nouveau/nouveau_hw.c

...alue labels that are gone after merging or subsetting. It would be very helpful, if this could be changed. With kind regards, Ulrike ----------------------------------------------------------------- data1 <- data.frame(id=c("Id1","Id2","Id3","Id4","Id5","Id6"), time=c(3,4,3,5,9,4)) vallab <- c(3,4,5,9) names(vallab) <- c("day","night","twilight","unknown") attr(data1$time,"value.labels")<-vallab str(data1) ## gives the output: ## `data.frame': 6 obs. of 2 var...

This patch series adds TV-out modesetting support to the KMS implementation. I've tried to test it on all the hardware I've got at hand (that is nv11, nv17, nv34, nv35, nv40, nv4b) with every possible output combination; I believe it has reached a mergeable state, however it depends on some commits from drm-next that haven't got into Linus' tree yet, if you agree to merge this

...quot; horiz-adv-x="927" d="M 156,0 L 156,153 515,153 515,1237 197,1010 197,1180 530,1409 696,1409 696,153 1039,153 1039,0 156,0 Z"/> </font> </defs> <defs class="TextShapeIndex"> <g ooo:slide="id1" ooo:id-list="id3 id4 id5 id6 id7 id8 id9 id10 id11 id12 id13 id14 id15 id16 id17 id18 id19 id20 id21"/> </defs> <defs class="EmbeddedBulletChars"> <g id="bullet-char-template(57356)" transform="scale(0.00048828125,-0.00048828125)"> <path d="M 580,...

..." horiz-adv-x="927" d="M 156,0 L 156,153 515,153 515,1237 197,1010 197,1180 530,1409 696,1409 696,153 1039,153 1039,0 156,0 Z"/> </font> </defs> <defs class="TextShapeIndex"> <g ooo:slide="id1" ooo:id-list="id3 id4 id5 id6 id7 id8 id9 id10 id11 id12 id13 id14 id15 id16 id17 id18 id19 id20 id21"/> </defs> <defs class="EmbeddedBulletChars"> <g id="bullet-char-template(57356)" transform="scale(0.00048828125,-0.00048828125)"> <path d="M 580,...

...gression procedures with such data. Hoping this wish will make it to the list of wishes fulfilled some day. With kind regards, Ulrike ----------------------------------------------------------------- data1 <- data.frame(id=c("Id1","Id2","Id3","Id4","Id5","Id6"), time=c(3,4,3,5,9,4)) vallab <- c(3,4,5,9) names(vallab) <- c("day","night","twilight","unknown") attr(data1$time,"value.labels")<-vallab str(data1) ## gives the output: ## `data.frame': 6 obs. of 2 var...

...12.13 4.33 12660338 6.60 7.54 5.66 8.49 10.38 11.31 16.06 12.26 8.49 8.49 4.73 12660644 5.51 3.14 3.95 7.09 7.11 14.98 15.72 18.90 9.44 5.50 8.65 12661667 5.44 4.50 5.44 4.50 5.44 12.69 13.63 11.81 9.07 13.68 13.79 END DATA. *Output should be:. *. * ID1 CLOSEID1 CLOSEID2 CLOSEID3 CLOSEID4 CLOSEID5. * ID2 CLOSEID1 CLOSEID2 CLOSEID3 CLOSEID4 CLOSEID5. * ID3 CLOSEID1 CLOSEID2 CLOSEID3 CLOSEID4 CLOSEID5. * ID4 CLOSEID1 CLOSEID2 CLOSEID3 CLOSEID4 CLOSEID5. * ID5 CLOSEID1 CLOSEID2 CLOSEID3 CLOSEID4 CLOSEID5.

As the title suggests, what is the status of compiling llvm on versions of MSVC less than 2012? Not so much "Does it work?", but more like "Should any thought be given to whether or not something will break it?" Right now there are a bunch of warnings when compiling LLDB on Windows because it uses various symbols which have been defined since VS2012, but which are re-defined

...kernel: Modules linked in: nfsd lockd nfs_acl sunrpc w8 3781d w83627hf hwmon_vid hwmon i2c_isa button battery ac xfs_quota ext3 jbd loop amd_k7_agp agpgart hw_random i2c_amd756 i2c_core e1000 parport_pc parport ohci_ hcd e100 usbcore mii ide_cd cdrom xfs exportfs dm_snapshot dm_mod raid0 raid1 ra id5 xor fan thermal processor sg aic79xx scsi_transport_spi amd74xx sd_mod scsi_ mod ide_disk ide_core Aug 31 08:15:31 mariscal kernel: CPU: 0 Aug 31 08:15:31 mariscal kernel: EIP: 0061:[<f4a07820>] Tainted: G U V LI Aug 31 08:15:31 mariscal kernel: EFLAGS: 00210246 (2.6.16.21-0.13...

...y know something about the future, maybe those chemtrails are there because someone actually plans on dispersing some friendly bubble gum into the air... and maybe these people "think they know." Of course I think this "hand" you see just below is one in the same with the "/ID5/" logo that I chose to mark my "chalk <http://marchekay.gq/lists/lt.php?id=YUgFAQNVUE9RUVAdU1wDX1cNVg> " and only later saw matched fairly perfectly to John Conner's version of "I'll be back" ... and of course I think you're reading the thing that actually...

...1.SMC1.IGDS.TLS 03d0: 54 08 43 41 44 4c 08 50 41 44 4c 08 43 53 54 45 T.CADL.PADL.CSTE 03e0: 10 4e 53 54 45 10 53 53 54 45 10 4e 44 49 44 08 .NSTE.SSTE.NDID. 03f0: 44 49 44 31 20 44 49 44 32 20 44 49 44 33 20 44 DID1 DID2 DID3 D 0400: 49 44 34 20 44 49 44 35 20 4b 53 56 30 20 4b 53 ID4 DID5 KSV0 KS 0410: 56 31 08 00 38 42 4c 43 53 08 42 52 54 4c 08 41 V1..8BLCS.BRTL.A 0420: 4c 53 45 08 41 4c 41 46 08 4c 4c 4f 57 08 4c 48 LSE.ALAF.LLOW.LH 0430: 49 48 08 00 08 45 4d 41 45 08 45 4d 41 50 10 45 IH...EMAE.EMAP.E 0440: 4d 41 4c 10 00 08 4d 45 46 45 08 44 53 54 53 08 MAL...MEFE.D...