search for: rvp

...e network difficult when you want to limit the network bandwidth. For example. Say I have a directory of 10 files on the target server. I've already downloaded 4 of them. I wish to use rsync to get the rest but I don't want it to consume all my network bandwidth. So I run: rsync --rvP --bwlimit=60k source.domain:/path/to/src dest I would desire for the 4 local files to be checksumed as rapidly as possible, disk I/O is not an issue, and then the 6 remaining files to be downloaded at the limited rate of 60k as network bandwidth is an issue. The current implementation applies the...

...tions ============================================= My R procedure structure looks as follows: # loading the packages library(RDCOMClient) source(system.file("examples", "excelUtils.r", package="RDCOMClient")) # opening the Excel file dnXls <- paste(pfArb, "/RVP#StO-Analyse_VersVerw.xls", sep="") # Xls-Dateiname + Pfad xls <- COMCreate("Excel.Application") xls[["Workbooks"]]$Open("c:\tmp\test.xls) sh <- xls$Sheets("Tab.1") sh$Select() ::: [ here is comming R code in order to produce output like tab...

Looks like I have run into the same issue reported in: https://bugs.llvm.org/show_bug.cgi?id=20871 Is there a fix or work-around for it? The bug report seems to be still open. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20171005/46c1282d/attachment.html>

Dear Dennis, Your question assumes that people know both SAS PROC MIXED and R nlme. Only a limited number of people do. Add the mathematical formulation of the model. That will increase the number of people that can help you. Adding the number of levels in each categorical variable and the number of observation per group is useful too. Best regards, ir. Thierry Onkelinx Instituut voor natuur-

http://bugzilla.mindrot.org/show_bug.cgi?id=801 Summary: Improve usability of scp by adding a "make path" option Product: Portable OpenSSH Version: -current Platform: All OS/Version: All Status: NEW Severity: enhancement Priority: P3 Component: scp AssignedTo: openssh-bugs at mindrot.org

I am trying to reproduce some old SAS PROC MIXED code using R and nlme. The data consists of emission readings from vehicles and fuel properties. All variables are real numbers except "study" and "vehicle", which are character. Unfortunately, since the data are confidential, I'm unable to provide an example. The original SAS v6.12 code is provided below:

Dear R-help, I have been trying to use the TukeyHSDs function in the "pgirmess" package to quickly extract all significant pairwise comparisons in an aov object. However, it seems that this function isn't working as intended when only the two last populations means being tested are significant. An example of this can be seen below: >numbers<-c(464,482,453,434,495,487)