similar to: hypothesis testing for rank-deficient linear models

When the COMMAND_FLAG_FOLD_STDOUT_ON_STDERR flag is passed to command*(), indicate that as stdout=e in debugging message. --- daemon/command.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/daemon/command.c b/daemon/command.c index 73fce56..2423a4e 100644 --- a/daemon/command.c +++ b/daemon/command.c @@ -185,6 +185,7 @@ commandrvf (char **stdoutput, char **stderror,

Causes a compiler warning to be emitted if you omit the trailing NULL argument. --- daemon/daemon.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/daemon/daemon.h b/daemon/daemon.h index 8f932d2..df1ba3a 100644 --- a/daemon/daemon.h +++ b/daemon/daemon.h @@ -100,9 +100,9 @@ extern char **split_lines (char *str); #define COMMAND_FLAG_CHROOT_COPY_FILE_TO_STDIN 2048

Improve readability of commandrvf() by replacing bare int values for file descriptors with their symbolic names STD{IN,OUT,ERR}_FILENO. Also add PIPE_READ and PIPE_WRITE for referencing relevant ends of a pipe. --- daemon/guestfsd.c | 79 +++++++++++++++++++++++++++++-------------------------- 1 file changed, 42 insertions(+), 37 deletions(-) diff --git a/daemon/guestfsd.c b/daemon/guestfsd.c

I ran the Coverity static analyzer[1] on libguestfs, and fixed many errors as a result. Coverity found some errors in gnulib, but it doesn't seem to be worth following those up since the version of gnulib we are using is so old. There are a couple more errors (possibly 1 false-positive) which I'm going to send in a separate email. BTW all the errors found by Coverity were in the daemon

Hi all! I 'm beginner and i develop a bio-application with VB and i need some statistic functions! could i calculate StdError, CoeffOfVariance, SumSquared with R langage? if yes, what are functions to use? I need also to use ANOVA and t-test... Thanks for your help! Laurent Houdusse Analyste Programmeur

I've defined the following for objects of a class called jml summary.jml <- function(object, ...){ tab <- cbind(Estimate = coef(object), StdError = object$se, Infit = object$Infit, Outfit = object$Outfit) res <- list(call = object$call, coefficients = tab, N = nrow(object$Data), iter = object$Iterations) class(res) <- "summary.jml" res }

The warnings in daemon were aggravating and risky for development (too easy to miss new ones) so I spent some time last week and today working on removing them. The first patch gets us down to almost no warnings with the original -Wall setting. That was by far the hardest part. Once I'd done that, I enabled nearly all of gcc's warnings via gnulib's warnings and manywarnings modules

Dear: I want to construct a gee model in R. When I ran the program, there was a warning in the output. The warning is "Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 gee(cbind(hyper, nohyper) ~ I(Ethnic) + I(Gender) + I(drink) + : rank-deficient model matrix" What is the rank-deficient model matrix? What should I do to

I am trying to use lm() for resression followed by stepAIC function. Now when i try to use to predict for some input, predict() gives a warning : prediction from a Rank deficient matrix may be misleading. As I am new to R (or to statistics) How alarming this warning may be? Regards, ____________________________________________________________________________________ The fish are biting.

Hi everyone. I am a new user of R so thanks for your help! I'm running a regression and receive an error that states that the "residuals have rank 45 < 169." What does this mean? Thanks! -- View this message in context: http://n4.nabble.com/deficient-rank-question-tp1562644p1562644.html Sent from the R help mailing list archive at Nabble.com.

For background on this change, see: https://rwmj.wordpress.com/2015/12/06/inspection-now-with-added-prolog/ v2 was previously posted here: https://www.redhat.com/archives/libguestfs/2015-December/msg00038.html To test this patch series on a real guest, you can do: $ ./run guestfish -v -x -a /var/tmp/centos-6.img ><fs> run ><fs> debug sh "guestfs-inspection

This is a more working version. Inspection (partially) succeeds on a real guest this time :-) You can test it out on a real guest (in this case, a CentOS disk image located at /tmp/centos-6.img) by doing: $ ./run guestfish -v -x -a /tmp/centos-6.img ><fs> run ><fs> debug sh "guestfs-inspection --verbose" which will print lots of debugging, and at the end the

Dear all, I would like to fit an lm in which a subset of the explanatory variables are linearly dependent. Thus I would like to include the restriction that all betas of these variables sum to 1. Is there a way to this in R? Or is this what happens automatically if I set singular.ok= T (which is the default, I believe)? Thanks for your help. Lorenz --

Hi, I have encountered this error when attempting a One-way Repeated-measure ANOVA with my data. I have read the "Anova in car: SSPE apparently deficient rank" thread by I'm not sure the within-subject interaction has more degrees of freedom than subjects in my case. I have prepared the following testing script: rm(list = ls())

Dear R-devel, It seems that lsfit incorrectly reports coefficients when the input matrix 'x' is rank-deficient, see the example below: ## here values of 'b' and 'c' are incorrectly swapped > x <- cbind(a=rnorm(100), b=0, c=rnorm(100)); y <- rnorm(100); lsfit(x, y)$coef Intercept a b c -0.0227787 0.1042860 -0.1729261 0.0000000 Warning

I have design with two repeated-measures factor, and no grouping factor. I can analyze the dataset successfully in other software, including my legacy DOS version BMDP, and R's 'aov' function. I would like to use 'Anova' in 'car' in order to obtain the sphericity tests and the H-F corrected p-values. I do not believe the data are truly deficient in rank. I

Hello all, I am getting the following error: Error in linear.hypothesis.mlm(mod, hyp.matrix.1, SSPE = SSPE, V = V, : The error SSP matrix is apparently of deficient rank = 7 < 11 After running: mod.ok <- lm(as.matrix(dat[,-1]) ~ DC, data=dat) (av.ok <- Anova(mod.ok, idata=idata, idesign=~week)) Although if I jitter the data in "dat", the function seems to work. What

- add a flag to request chroot for the process, which is done only as very last (before chdir) operation before exec'ing the process in the child: this avoids using CHROOT_IN & CHROOT_OUT around command* invocations, and reduces the code spent in chroot mode - add failure checks for dup2 and open done in child, not proceeding to executing the process if they fail - open /dev/null

Hi, I'm using the function fracdiff and can not figure out how to get the estimated values for sigma2 or confidence intervals for the parameter estimates. Does anyone know how to obtain these values? Thanks, Melissa

These two patches are probably not completely independent, but separating them is a lot of work. With *both* patches applied, all the tests and extra-tests pass. That's no guarantee however that there isn't a mistake, so I don't think this patch is a candidate for the 1.16 branch, until it's had a lot more testing in development. Rich.