search for: sub4

...times, with missing measurements, so that the data look like this: > MAT<- structure(c(23, 24, 6, 19, 16, 20, 13, 11, NA, 8, NA, 21, 19, 15, 11, NA, 10, 12, 16, 30, 13, 16, NA, NA, NA, NA, 28, 6), .Dim = c(7, 4), .Dimnames = list(c("SUB1", "SUB2", "SUB3", "SUB4", "SUB5", "SUB6", "SUB7"), c("BDI0", "BDI3", "BDI6", "BDI12"))) > MAT BDI0 BDI3 BDI6 BDI12 SUB1 23 11 11 16 SUB2 24 NA NA NA SUB3 6 8 10 NA SUB4 19 NA 12 NA SUB5 16 21 16...

Dear List, The following code produces a list, which is what I what: set.seed(123) tmpf <- function() { x <- rpois(rpois(1,4),2) } n <- 3 m <- replicate(n,tmpf()) m [[1]] [1] 3 2 4 [[2]] [1] 0 2 4 2 2 5 2 [[3]] [1] 2 0 4 1 0 Now I need something that would to extract iteratively (or as many times as the size of 'n') the values that are greater than 2 in each component of

...b, 1), 4)), (add (decimate (shl gpr_b, 2), 4)), (add (decimate (shl gpr_b, 3), 4))]>; // simd byte use stride 2 register as stride 1 does not support useful ALU instruction def gpr_b_simd8 : RegisterTuples<[sub0, sub1, sub2, sub3, sub4, sub5, sub6, sub7], [(add (decimate gpr_b, 16)), (add (decimate (shl gpr_b, 2), 16)), (add (decimate (shl gpr_b, 4), 16)), (add (decimate (shl gpr_b, 6), 16)),...

...t sex is coded differently in the two, including the way missing values are represented. Here is an example of the merged dataframe: > myFrame2 ???SubjCode SubjSex? ? ? ? ? Sex 1? ? ? sub1? ? ???M? ? ? ???<NA> 2? ? ? sub2? ? ???F? ? ? ???<NA> 3? ? ? sub3? ? ???M? ? ? ???Male 4? ? ? sub4? ? ???M? ? ? ???<NA> 5? ? ? sub5? ? ???F? ? ? ???<NA> 6? ? ? sub6? ? ???F? ? ???Female 7? ? ? sub7? ? ? ? ? ? ? ???<NA> 8? ? ? sub8? ? ? ? ? ? ? ???<NA> 9? ? ? sub9? ? ? ???Not Recorded 10? ? sub10? ? ? ???Not Recorded I then apply the following: > myFrame2$SubjSex <...

Hi, I just started with R and I found that there are many options to rearrange the data to do mixed models. I want to use the reshape function. I have 2 between subject variables and one within. I was able to change the data structure but still - the result of the aov functions are calculating everything as a within subject. the table looks like this: SerialNo breed treatment distance_1

...want to (or I the way think it should). Internet output interface = eth2 (htb qdisc) Internet input interface = imq0 (eth2 attached - htb qdisc) main class = imq0 1:1 sub1 = 1:ffff (default) sub2 = 1:10 (src ports 1433/tcp or 1434/tcp or 81/tcp or 82/tcp) sub3 = 1:11 (src and dst port 25/tcp ) sub4 = 1:12 (src and dst ports 80/tcp or 53/any or 443/tcp) sub5 = 1:99 (packets less than 64 bytes) main class = eth2 2:1 sub1 = 2:ffff (default) sub2 = 2:10 (src ports 1433/tcp or 1434/tcp or 81/tcp or 82/tcp) sub3 = 2:11 (src and dst port 25/tcp ) sub4 = 2:12 (src and dst ports 80/tcp or 53/a...

...rs, I have a data frame > summary(emPat) pairE subj pattern far-near : 18 sub1 : 37 urb :123 long-short : 18 sub2 : 37 bpb : 72 supported-unsupported: 18 sub3 : 37 prp : 67 large-small : 18 sub4 : 37 brb : 64 dense-sparse : 18 sub5 : 37 unp : 62 divergent-convergent : 18 sub6 : 37 pnp : 44 (Other) :558 (Other):444 (Other):234 > dim(emPat) [1] 666 3 I have 37 types of pairE. 18 subjects placed each of the 37 pairEsinto one of...

Hi all, For example,if there is ten subdirectories named sub1~sub10(each including subdirectories and files too),and file1~file10,how can I rsync only sub2 and sub 3 to the target? /---- MyFolder |---------- sub1 |---------- sub2 |---------- sub3 |---------- sub4 |---------- sub5 |---------- sub6 |---------- sub7 |---------- sub8 |---------- sub9 |---------- sub10 |---------- file1 |---------- file2 |---------- file3 |---------- file4 |---------- file5 |---------------------- rsync -av --delete --include "/sub2...

Hi Escha, Great to have your comment! Do you have any specific reason for not doing like this? I am not sure whether I understand your point correctly. For "just model one thread", do you mean "only considering ONE of the 8/16 working lanes that running in lock-step way"?? For my case, may be something like I only need to define r0~r127 as register for i32 register (each r#

The following link does a comparison of some popular libraries and their ability to correctly serialise a form: <URL: http://www.malsup.com/jquery/form/comp/ > Any comments? -- Rob --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Spinoffs" group. To post to this group, send email to

...1.domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone 'sub2.domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone 'sub3.domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone 'sub4.domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone 'sub5.domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone 'domain.tld' Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable zone '_msdcs...

...writeable >> zone 'sub2.domain.tld' >>> >>> Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable >> zone 'sub3.domain.tld' >>> >>> Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable >> zone 'sub4.domain.tld' >>> >>> Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable >> zone 'sub5.domain.tld' >>> >>> Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable >> zone 'domain.tld' >>> >&...

...]: samba_dlz: configured writeable > zone 'sub2.domain.tld' > > > > Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable > zone 'sub3.domain.tld' > > > > Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable > zone 'sub4.domain.tld' > > > > Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable > zone 'sub5.domain.tld' > > > > Jan 23 15:25:25 rtd-dc1 named[4942]: samba_dlz: configured writeable > zone 'domain.tld' > > > > Jan 23 15:25:25 rt...

...1 2 3 4 mysubset<-function(input, column.name, expression.to.match){ output <- input[column.name==expression.to.match,] return(output) } sub1 <- mysubset(input, input$depth, depths[1]) sub2 <- mysubset(input, input$depth, depths[2]) sub3 <- mysubset(input, input$depth, depths[3]) sub4 <- mysubset(input, input$depth, depths[4]) p <- ggplot(sub1, aes(x=x,y=y,fill=amplitude)) p + geom_tile() + scale_fill_gradientn("Custom Colours",colours=c("purple","blue","green","yellow","orange","red")) # custom colours...

I suspect a zone overlap. Did you add an extra zone manualy in bind? Or something like this... You added : Zone1.Domain.TLD and then Domain.TLD But then with the reverse zones. Because this : > Jan 20 13:58:09 samba02 named[10811]: zone 2.168.192.in-addr.arpa/NONE: > has no NS records Does not look likes the samba_DLZ log lines but a pure bind log line. Review you bind config and