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...Connectivity * Active Directory LDAP Services Check Determining IP4 connectivity * Active Directory RPC Services Check ......................... LARKIN26 passed test Connectivity Doing primary tests Testing server: Default-First-Site-Name\LARKIN26 Test omitted by user request: Advertising Test omitted by user request: CheckSecurityError Test omitted by user request: CutoffServers Test omitted by user request: FrsEvent Test omitted by user request: DFSREvent Test omitted by user request: SysVolCheck Test omitted by u...

On 9/19/2016 1:37 PM, Rowland Penny via samba wrote: > On Mon, 19 Sep 2016 19:19:08 +0200 > Achim Gottinger via samba <samba at lists.samba.org> wrote: > >> >> Am 19.09.2016 um 19:08 schrieb Achim Gottinger via samba: >>> >>> Am 19.09.2016 um 18:21 schrieb Rowland Penny via samba: >>>> On Mon, 19 Sep 2016 11:57:38 -0400 >>>> Adam

# BUG 1: returns empty vector if no NAs present > nona <- 1:10 > na.omit(nona) numeric(0) na.omit.default() has two lines where object[-omit] is used, where omit represents positions of NAs and thus without NAs omit = numeric(0) and since -numeric(0) = numeric(0) object[-omit] = numeric(0) It looks like an earlier version of na.omit.default had 'omit'...

Hi R helpers, I'd like to see source code for some of built-in R functions... for example, I would like too see how "na.omit" was implemented? Thanks?

Similar to --omit-{dir,link}-times: --omit-device-times omit device files from --times --omit-special-times omit sockets and fifos from --times Also, fix corner case that allows --omit-dir-times to be ignored. See unchanged_attrs() and recv_generator()'s call to try_dests_non(). Marc. diff -aNpRruz -X /etc...

Dear list, I get a syntax error for the following function: for(na.omit(sqrt(D))>2) {na.omit(A)-(na.omit(B)+(na.omit(sqrt(C))))} Any idea what is wrong? I am using R 1.8.1 on Linux, Kernel 2.4.21-i686. Regards, Ulrich -- __________________________________________________ Ulrich Leopold MSc. Computational Bio- and Physical Geography (CBPG) Institute for Biodiv...

I have a work around for this, but can someone explain why the first example does not work properly? I believed it worked in the previous version of R, by selecting just the rows=200525 and omitting the na's. I just upgraded to 2.13. I am also concern with the row numbers being different in the selections, should I be worried? FYI, I just selected the first few rows for demonstration, please do not worry that the number of rows shown are not equal. - Sarah With na.omit around the colu...

Hi R specialists, The na.omit.ts() method fails when the time series contains internal NA's. How can these automatically be removed? > spectrum(ts.mNDII, na.action=na.omit) Error in na.omit.ts(as.ts(x)) : time series contains internal NAs How can the na.action be activated correctly? > acf(ts.Lin, type=c("corr...

...st standard error function, with heteroskedasticity and arbitrary x period autocorrelation corrections. ?including my function in this post here may help others searching for something similar. it is working quite well, except on occasion, it complains that Error in solve.default(crossprod(x.na.omitted, x.na.omitted)) : system is computationally singular: reciprocal condition number = 3.63797e-23 I know that lm can do the inversion, so I presume that there is a more stable way than qr.solve . I looked into lm, then into lm.fit, and it seems to invoke dqrls . is this the recommended way,...

Hi friends, I have a query regarding na.omit function.Please ,someone help me. I have a function xyz_function<-function(arguments) { some code return(list(matrix=dataset)) } xyz_function_returnvalue<-xyz_function(passed argumentss) *Case-I* xyz_function_returnvalue_deletingNArows<-na.omit((xyz_function_returnvalue))...

Why is it that when a vector contains no NAs, na.omit returns an empty vector rather than the object/vector that was passed to it? >na.omit(c(1,2,3,4)) numeric(0) in contrast ... >na.omit(c(1,2,3,NA)) [1] 1 2 3 attr(,"na.action") [1] 4 attr(,"na.action")attr(,"class") [1] "omit" Thanks, Ale...

Strange, this normally works, but in a recent run, I have a data set in an xts format, that has a lot of NA's in a few of the variables in the leading and trailing positions, due to some lagging calculations. Before running an analysis, I use newdata<-na.omit(orginaldata) and normally a dim(newdata) shows the fewer rows. Now, for some reason I do this operation and see that hundreds of rows SHOULD be removed, (I can plainly see the NAs in there) and even test is.na(orginaldata$variable) and get a clear "TRUE", but the case still remains aft...

...1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) # this fills the residuals vector with NA's to the end summary(lm.1 <- lm(y ~ x1, na.action = na.exclude)) residuals(lm.1) # is equal to naresid(na.exclude(lm.1), lm.1$residuals) tmp.omit <- lm.1$na.action # modify the na.action to omit class(tmp.omit) <- "omit" naresid(tmp.omit, lm.1$residuals) # same as residuals(lm.0) summary(lm.2 <- lm(y ~ x1)) residuals(lm.2) tmp.omit <- lm.2$na.action # modify the na.action to be "exclude" class(tmp.omit) <...

On Wed, Dec 28, 2011 at 12:35 PM, Chandler Carruth <chandlerc at google.com>wrote: > On Wed, Dec 28, 2011 at 2:06 AM, Anton Korobeynikov < > anton at korobeynikov.info> wrote: > >> > I believe the best option for us is to add the >> > --fno-omit-frame-pointer depending on the -faddress-sanitizer flag. >> > But in order to do this reliably, we need to remove all the instances >> > of -fomit-frame-pointer from the command line. >> Why? Just add -fno-omit-frame-pointer last. >> > > Yea, this should be easy...

> I believe the best option for us is to add the > --fno-omit-frame-pointer depending on the -faddress-sanitizer flag. > But in order to do this reliably, we need to remove all the instances > of -fomit-frame-pointer from the command line. Why? Just add -fno-omit-frame-pointer last. -- With best regards, Anton Korobeynikov Faculty of Mathematics and M...

...1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) # this fills the residuals vector with NA's to the end summary(lm.1 <- lm(y ~ x1, na.action = na.exclude)) residuals(lm.1) # is equal to naresid(na.exclude(lm.1), lm.1$residuals) tmp.omit <- lm.1$na.action # modify the na.action to omit class(tmp.omit) <- "omit" naresid(tmp.omit, lm.1$residuals) # same as residuals(lm.0) summary(lm.2 <- lm(y ~ x1)) residuals(lm.2) tmp.omit <- lm.2$na.action # modify the na.action to be "exclude" class(tmp.omit) <...

...near regression using function lm and update. But, I meet a problem when using update. The problem is the function update can not update when variables as a vector(for example,x is a matrix with 100 regression variables). The code is as below: > model<-lm(y~x1,singular.ok=T,na.action=na.omit) > for(i in 1:100){ > model<-update(model,.~.+x[,i],singular.ok=T,na.action=na.omit)} If the above code is represented as below, I can get the correct result. However, I must use the loops. >model<-lm(y~x1,singular.ok=T,na.action=na.omit) >model<-update(model,.~.+x[,1],s...

Full_Name: Volker Franz Version: 2.0.1 (2004-11-15) OS: Mac OSX / Debian Submission from: (NULL) (84.58.8.232) Hi there, the new version of plotCI (Version: 2.0.3 of gplots) produces errors if the upper or lower error bars should be omitted by passing NULL as an argument. Older versions of plotCI had no problem with this. Here is an example: library(gplots) means <- c(1,2,3,4,5) upperw <- c(1,1,1,1,1) lowerw <- c(1,1,1,1,1) upper <- means+upperw lower <- means-lowerw plotCI(x=means,uiw=upperw,liw=lowerw) #Works...

Dear all, Say I have the following dataset: > DF x y z [1] 1 1 1 [2] 2 2 2 [3] 3 3 NA [4] 4 NA 4 [5] NA 5 5 And I want to omit all the rows which have NA, but only in columns X and Y, so that I get: x y z 1 1 1 2 2 2 3 3 NA If I use na.omit(DF), I would delete the row for which z=NA, obtaining thus x y z 1 1 1 2 2 2 But this is not what I want, of course. If I use na.omit(DF[,1:2]), then I obtain x y 1...

buerkle@hawaii.edu writes: > Why is it that when a vector contains no NAs, na.omit returns an empty > vector rather than the object/vector that was passed to it? > > >na.omit(c(1,2,3,4)) > numeric(0) Well, because there is a bug in na.omit.default. The problem is in the section of code omit <- seq(along = object)[is.na(object)] nm...