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...containing many examples and the misalignment of the [1]'s is visually problematic. For additional considerations, please see my stackoverflow post: http://stackoverflow.com/questions/23703126/fixing-inconsistent-spacing-after-in-output-of-knitted-document/ R version: 3.1.0 Regards, Dominic Comtois [[alternative HTML version deleted]]

...would like to know if it's possible to start the smbd/nmbd daemons from an other HP Unix server. The installation of Samba has been made on a RAID mounted on an other Unix server (the main one). We want to do that because whe need to reduce the working flow in the main server. Thanks Daniel Comtois, Unix Tech. daniel.comtois@viasystems.com -------------- next part -------------- HTML attachment scrubbed and removed

Diverting (from R-package-devel) to R-devel, as it is now about extending R : >>>>> Jeroen Ooms on Thu, 20 Feb 2020 20:34:14 +0100 writes: > On Tue, Feb 18, 2020 at 1:29 AM Dominic Comtois > <dominic.comtois at gmail.com> wrote: >> >> Hello, >> >> On my package's check results ( >> https://cran.r-project.org/web/checks/check_results_summarytools.html), I >> see a bunch of warnings with "No protocol sp...

...yone, I would like to know if it's possible to start the smbd/nmbd daemons from an other HP Unix server. The installation of Samba has been made on a RAID mounted on an other Unix server (the main one). We want to do that because whe need to reduce the work of the main server. Thanks Daniel Comtois, Unix Tech. daniel.comtois@viasystems.com -------------- next part -------------- HTML attachment scrubbed and removed

Stata users can rely on the very neat Episens package for sensitivity analysis. Briefly, it allows one to specify a diagnostic tool's sensitivity and specificity and take those into account when estimating a risk ratio, for instance. A full description of the package is available at <http://www.stata-journal.com/sjpdf.html?articlenum=st0138>

I'm trying to import a .sas7bdat dataset into R with sas.get. I'm using Win-7 and SAS 9.2. I have read the following post and did tweak the line (127, incidentally) of code. <http://r.789695.n4.nabble.com/R-Problem-with-sas-get-function-in-Hmisc-td81 4367.html> http://r.789695.n4.nabble.com/R-Problem-with-sas-get-function-in-Hmisc-td814 367.html However, I get the following

I am using nut-snmp driver on ubuntu 8.04 to query a Powerware ConnectUPS Web/SNMP Card V4.20. With 0.41 I used to be able to query these field that are now gone with 0.42: input.frequency input.voltage output.voltage ups.load Any idea how I can get ups.load back ? -------------- next part -------------- An HTML attachment was scrubbed... URL:

When setting up my new machine, I had the surprise to see that "Package 'fUtilities' was removed from the CRAN repository." This is problematic for my work. I use many of its functions, and it will complicate things a lot if other programmers want to use my previous code in the future. Plus, nowhere can I find the justification for its removal. Thanks for any info on this

I'd like to create a plot similar to this one from Kochanska et al. (Development and Psychopathology, 2011): <http://pages.videotron.com/do999/r-help/Kochanska_graph_ros.jpg> http://pages.videotron.com/do999/r-help/Kochanska_graph_ros.jpg I am new to ggplot2 and can't see any obvious way to create distinct coloured regions for the background, nor can I find any relevant

Hello, I have a problem with the princomp method, it seems stupid but I don't know how to handle it. I have a dataset with some regular data and some outliers. I want to calculate a PCA on the regular data and get the scores for all data, including the outliers. Is this possible on R? Thank you for helping!!! -- View this message in context:

Say I fit a logistic model and want to calculate an odds ratio between 2 sets of predictors. It is easy to obtain the difference in the predicted logodds using the predict() function, and thus get a point-estimate OR. But I can't see how to obtain the confidence interval for such an OR. For example: model <- glm(chd ~age.cat + male + lowed, family=binomial(logit)) pred1 <-

Hello all, I am running a logistic model with a continuous variable as first predictor and factor variable as the second. I would like to include an interaction term in the following fashion: outcome ~ continous + factor + normalized(continuous):factor My problem is that when I do so, the reference category is not the same as in outcome ~ continous * factor Which makes comparison of