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Hello List, had the same issue. After upgrading to samba 4.3.4, a samba-tool dbcheck -cross-ncs showed several errors like: ERROR: wrong dn[DC=RZBT,CN=Deleted Objects,DC=DomainDnsZones,DC=local] name='RZBT\nDEL:a7a6bd53-f702-4f2e-a217-4abfa0d343b8' new_dn[DC=RZBT\0ADEL:a7a6bd53-f702-4f2e-a217-4abfa0d343b8,CN=Deleted Objects,DC=DomainDnsZones,DC=local] Not renaming DC=RZBT,CN=Deleted Objects,DC=DomainDnsZones to DC=RZBT\0ADEL:a7a6bd53-f702-4f2e-a217-4abfa0d343b8,CN=Deleted Objects,DC=DomainDnsZones,DC=local A -fix was no...

On Mon, 2019-08-26 at 23:10 +0200, gizmo via samba wrote: > Ok, I understood, I should join with a new name. > But what's the difference between my plans and the docu "Rejoining the upgraded DC" ? > There is nothing mentioned, that a new name is necessary. > Is it because I install a new OS and so I start from scratch ? A new name is not necessary, which is why this

Hello, I have an R script that I use as a template to perform a task for multiple files (in this case, multiple chromosomes). What I would like to do is to utilize a simple loop to parse through each chromosome number so that I don't have to type the same code over and over again in the R console. I've tried using: for(i in 1:22){ etc.. } and replacing each chromosome number with

Hello, I have an input file: http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt where col 1 is chromosome, column2 is start of region, column 3 is end of region, column 4 and 5 is base position, column 6 is total reads, column 7 is methylation data, and column 8 is the strand. I would like a summary output file such as:

Hello, I have an input file that contains multiple columns, but the column I'm concerned about looks like: "TR" 5 0 4 1 0 2 0 To count all of the rows in the column I know how to do NROW(x$TR) which gives 7. However, I would also like to count only the number of rows with values >=1 (i.e. not 0). I've tried NROW(x$TR>=1) which did not give the intended output. Do any

I have a dataframe in the general format: chr1 0.5 chr1 0 chr1 0.75 chr2 0 chr2 0 chr3 1 chr3 1 chr3 0.5 chr7 0.75 chr9 1 chr9 1 chr22 0.5 chr22 0.5 where the first column is the chromosome location and the second column is some value. What I'd like to do is have a histogram created for each chr location (i.e. a separate histogram for chr1, chr2, chr3, chr7, chr9, and chr22). I am just

I've been looking for how to change a certain percentage of values in a data frame, but I've been struggling to find information in R. For example: #################example data############## > data V1 V2 V3 V4 V5 V6 V7 1 chr1 500 500 CHH 0 0.5 + 2 chr1 550 550 CHH 0 0.0 + 3 chr2 700 700 CHH 0 0.0 + 4 chr2 1000 1000 CHH 0 0.0 + 5 chr3

...certificates from the command line My NginX is using the same library, and this does indeed support TLSv2, so what I am doing wrong in my Dovecot configuration? Any clues? Regards Thomas -- www.preissler.co.uk | Twitter: @module0x90 | PGP-Key: 75889415 GPG Fingerprint: CCBD 153A D257 CA7E A217 FDF7 5928 03D1 7588 9415

I actually have two questions regarding the same script: ################################################# data <- vector('list', 24) splc <- vector('list',24) df.summ <- vector('list',24) for (i in 1:length(chrData)) { data[[i]] <- read.table(file=paste('chr',i,'.nonCG.covered.out',sep=''), header=F)