search for: rep2

...lt;-sqrt(Estimated.totalvar)*sum(Rep1$total.pop) RESULTS.R1<-data.frame(Estimated.TotalTemp, SE=Estimated.SE) RESULTS.R1 ########################## #Replication 2 create a resampled data ############################ Replication2<-dat1[unlist(lapply(lll, sample, rep=TRUE)),] Summary.Rep2<-ddply(Replication2, c("group"), summarise, N = length(group), mean = mean(temp, na.rm=TRUE), sd = sd(temp), se = sd / sqrt(N), variance=sd^2 ) #merge two datasets Rep1<-merge(Summary.Rep2, dat2, by="group"...

...e first certificate" even if tls_cafile is provided in smb.conf. What is wrong ? # checking my connexion openssl s_client -showcerts -connect localhost:636 CONNECTED(00000003) Can't use SSL_get_servername depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = XXX, CN = ad-rep2.example.com verify error:num=20:unable to get local issuer certificate verify return:1 depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = XXX, CN = ad-rep2.example.com verify error:num=21:unable to verify the first certificate verify return:1 ... Server certificate subject=C = FR,...

...ta: tmp.data AIC BIC logLik 223.8389 236.5071 -103.9195 Correlation Structure: Compound symmetry Formula: ~1 | tank Parameter estimate(s): Rho -0.2 Coefficients: Value Std.Error t-value p-value (Intercept) 91.74000 7.589296 12.088077 0.0000 rep2 -29.03167 10.732886 -2.704926 0.0112 sex_ratio6m:0f 22.45500 7.589296 2.958772 0.0060 sex_ratio6m:6f -21.49333 7.589296 -2.832059 0.0082 rep2:sex_ratio6m:0f 38.62667 10.732886 3.598908 0.0011 rep2:sex_ratio6m:6f 49.14500 10.732886 4.578918 0.0001 Correlation:...

...d in smb.conf. > > What is wrong ? > > # checking my connexion > > openssl s_client -showcerts -connect localhost:636 > > CONNECTED(00000003) > Can't use SSL_get_servername > depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = > XXX, CN = ad-rep2.example.com > verify error:num=20:unable to get local issuer certificate > verify return:1 > depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = > XXX, CN = ad-rep2.example.com > verify error:num=21:unable to verify the first certificate > verify return:1 > ......

...wrong ? >> >> # checking my connexion >> >> openssl s_client -showcerts -connect localhost:636 >> >> CONNECTED(00000003) >> Can't use SSL_get_servername >> depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = >> XXX, CN = ad-rep2.example.com >> verify error:num=20:unable to get local issuer certificate >> verify return:1 >> depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = >> XXX, CN = ad-rep2.example.com >> verify error:num=21:unable to verify the first certificate >>...

...actor(rep(c(rep("pre",3),rep("post",3)),6)), + subj = factor(rep(paste("subj",1:6,sep=""),c(6,6,6,6,6,6))), + Group = factor(c(rep("Treat",18),rep("Control",18)))) > rt.df rt rep prepost subj Group 1 287 rep1 pre subj1 Treat 2 283 rep2 pre subj1 Treat 3 261 rep3 pre subj1 Treat 4 298 rep1 post subj1 Treat 5 302 rep2 post subj1 Treat 6 280 rep3 post subj1 Treat 7 211 rep1 pre subj2 Treat 8 272 rep2 pre subj2 Treat 9 222 rep3 pre subj2 Treat 10 285 rep1 post subj2 Treat 11 253 rep2 post subj2 Treat 12 252 rep3 post subj2...

Hi, R 2.5.0 isn't auto-completing paths properly as it used to. E.g. suppose I have: > dir("CEL/choe") [1] "chipC-rep1.CEL" "chipC-rep2.CEL" "chipC-rep3.CEL" "chipS-rep1.CEL" [5] "chipS-rep2.CEL" "chipS-rep3.CEL" Now if I do: ReadAffy("CEL/choe/ch<tab> # => ReadAffy("CEL/choe/chip ReadAffy("CEL/choe/chipC<tab> # => ReadAffy("CEL/choe/chipC-rep Read...

...t;- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) d2 <- conf.design(c(1,1,1), p=2, block.name="blk", treatment.names = c("A","B","C")) rep1 <- c(550,669,633,642,1037,749,1075,729) rep2 <- c(604,650,601,635,1052,868,1063,860) part1 <- data.frame(d1,rep1) part2 <- data.frame(d2,rep2) d12 <- rbind(part1,part2) [[alternative HTML version deleted]]

...data from an instrument that measures the size of particles but instead of giving a continuous value, it generates a "histogram" of the counts for a particular bin size. So the data looks like this: Condition 1 Condition 2 Dimension Rep1.A Rep1.B Rep2.A Rep2.B Rep1.A Rep1.B Rep2.A Rep2.B 2 5 6 7 8 40 35 33 31 2.1 7 8 4 5 30 30 31 29 2.2 10 11 10 12...

...point "tls > cafile" to your issuers proper CA or just to your distro's CA bundle, > e.g /etc/pki/tls/certs/ca-bundle.crt. You're right, on Samba, it works that way # smb.conf extract tls cafile = /etc/ssl/certs/Comodo_AAA_Services_root.pem tls certfile = /etc/ssl/certs/ad-rep2.example.com-certonly+intermediate.pem tls keyfile = /etc/ssl/private/ad-rep2.example.com.key openssl s_client -showcerts -connect ad-rep2.example.com:636 .... SSL handshake has read 6020 bytes and written 428 bytes Verification: OK --- New, TLSv1.3, Cipher is TLS_AES_256_GCM_SHA384 Server public...

...data" (see below) is how my original data are arranged, and I know that with melt() I can reshape it like "y" (see below). However, I just want to build a matrix like the "y" matrix, but with only 2 dimensions. Something like this: year Site specie Pres Rep1 Rep2 Rep3 Rep4 Rep5 1 2003 2021 MICH 1 0 0 1 1 0 3 2003 2021 MISA 1 1 0 0 0 0 4 2003 2021 MOBO 1 1 1 0 0 0 where "year" and "specie" are not another...

Dear R users, I have received a table in the following format: id a b c1 c2 d1 d2 1 1 1 65 97 78 98 2 1 2 65 97 42 97 3 2 1 65 68 97 98 4 2 2 65 97 97 98 Factors of the design are: a, b, and e, where e has levels c and d. The levels c and d then have 2 replicates (r) each. Now I would like to get: id a b e r value 1 1 1 c 1 65 2 1 1

...wrong ? >> >> # checking my connexion >> >> openssl s_client -showcerts -connect localhost:636 >> >> CONNECTED(00000003) >> Can't use SSL_get_servername >> depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = >> XXX, CN = ad-rep2.example.com >> verify error:num=20:unable to get local issuer certificate >> verify return:1 >> depth=0 C = FR, postalCode = 00000, ST = XXX, L = XXX, O = XXX, OU = >> XXX, CN = ad-rep2.example.com >> verify error:num=21:unable to verify the first certificate >>...

Hello R experts: When I tried to read my data into R, it does not take # sign A subset of Exp.txt is: Experiment name assay id Varname (A1)DBA TPA 6h/DBA Acetone rep1(A1) #3 4090 A90C1 (A2)DBA TPA 6h/DBA Acetone rep2(A2) #3 4091 A91C1 The command is: Exp <- read.delim2("Exp.txt",check.names=F,as.is=T) It is excuted but gave me all the NAs. Can you all drop me a hint? Thanks in advance. Kevin

Hi Folks, I'm wondering if there's a compact way to achieve the following. The "dream" is that, by analogy with rep(c(0,1),times=c(3,4)) # [1] 0 0 0 1 1 1 1 one could write rep(c(0,1),times=c(3,4,5,6)) which would produce # [1] 0 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 1 1 in effect "recycling" x through 'times'. The objective is to produce a vector of

...hen using the following commands: y <- as.matrix(read.table("data.txt"), stringsAsFactors=FALSE) bstrap <- sample(length(y), 100000, TRUE) write(y[bstrap], file="Rep1.txt", ncolumns=50, append=FALSE) bstrap <- sample(length(y), 100000, TRUE) write(y[bstrap], file="Rep2.txt", ncolumns=50, append=FALSE) bstrap <- sample(length(y), 100000, TRUE) . . . and so on for 500 reps. I think there should be a better way of doing this. My specific questions: 1. Is there a way to avoid inserting spaces between the characters before calling the "sample" co...

...elParameters("C:/PilotStudy/Mplus_Input/Test", recursive=TRUE) #extractModelParameters reads all the output files from the Test folder and create the following variables in R for each file read: #C..PilotStudy.Mplus_Input.Test.rep1.out.unstandardized.est #C..PilotStudy.Mplus_Input.Test.rep2.out.unstandardized.est #C..PilotStudy.Mplus_Input.Test.rep3.out.unstandardized.est modelResultsTemp <- as.data.frame(modelResults) MeansTempC1 = rep(NA ,9) counter = 1 for (f in 1:3) { i=31 for (g in 1:3) { OutputFileName <- paste("modelResultsTemp$C..PilotStudy.Mplus_Input.Test.rep...

Pavel. Is there a difference between native client (fuse) and libgfapi in regards to the crashing/read-only behaviour? We use Rep2 + Arb and can shutdown a node cleanly, without issue on our VMs. We do it all the time for upgrades and maintenance. However we are still on native client as we haven't had time to work on libgfapi yet. Maybe that is more tolerant. We have linux VMs mostly with XFS filesystems. During the...

On 8/25/2017 12:56 AM, Gionatan Danti wrote: > > >> WK wrote: >> 2 node plus Arbiter. You NEED the arbiter or a third node. Do NOT try 2 >> node with a VM > > This is true even if I manage locking at application level (via > virlock or sanlock)? We ran Rep2 for years on 3.4.? It does work if you are really,really? careful,? But in a crash on one side, you might have lost some bits that were on the fly. The VM would then try to heal. Without sharding, big VMs take a while because the WHOLE VM file has to be copied over. Then you might get Split-brai...

...are on RAID10 (6xSSDs), switches are Juniper EX4550s (shallow packet buffer, but no drops in the statistics) pretty much dedicated to Gluster and we ran many VMs and stored and heavily used other data there. And gluster logs or system logs do not provide any hint of HW/network failure. > We use Rep2 + Arb and can shutdown a node cleanly, without issue on our VMs. > We do it all the time for upgrades and maintenance. > > However we are still on native client as we haven't had time to work on > libgfapi yet. Maybe that is more tolerant. > > We have linux VMs mostly with XFS...