similar to: lme and confidence intervals

Hello, Has anyone got fail2ban working and blocking ssh spambot atempts? My ssh is logging with a facility of authpriv which syslogd sends to /var/log/secure. That file has 600 permissions owned and group of root. I want to make it where fail2ban can access the needed file, yet not make it insecure in the process. I was not wanting to change permissions last time I did that on a log file a cron

I'm hoping that someone else has seen this problem. Running CVS version from 03/08/03 20:00 T100P -> Zplex-10 All internal call routing seems to work fine. Atempts to make calls on the FXO interface fail. Asterisk picks up the correct number dialed but there seems to be a problem with the Zplex transmitting that number on the POTS line. All attempts to dial out fail with the LEC giving

Hello, I'm running fail2ban on my centos machine. It's handling sshd and postfix, and is working quite well. From the reports I'm seeing all the atempts are from a certain registrar's region, I won't name it, and was wondering instead of blocking individual ip's if there was a way I could block with iptables the complete region of ip's. I realize this will cut off a

okay so i have the script provided by joel. i have changed them slitely so that each user gets his or her own file, because if two users try to log on at the same time, the script can't differentiate between atempts. so you get mixed lines. as in user1 starts with line1 but then user2 might have his first line right after. we wanted to be able to distinguish. now that we can see who is

Hi I really hope someone can help me. I have just started to work with S-plus, and have not yet understood how it really works. I am now trying to fit a mixed effects model with lme. My goal is to compare four different groups, at several different time points, and I therefore would like to create confidence intervals for linear combinations of my estimated parameters (as I usually do with

This is a follow-up mail of "the effect of blocking on the size of confidence intervals - analysis using aov". In both mails I pursue the idea of using blocking factors in order to reduce the width of confidence intervals. My dataset comprises, a quantitative response variable, namely: "response", and three categorical eplanatory variables, namely: "method",

Hello and sorry to disturb. I'm trying to plot the confidence intervals for the fixed effects of a lme. I want to obtain graphically, if it is possible, a bar with Estimate, upper and lower CI for each level of the factors. I know how to do for a lm model but for a lme one, I tried with plot(intervals(...)) and plot(ci(...)) from the gmodels package but it doesn't work well. Thanks

Hello, I am wondering if there has been a solution to the following issue with R under Windows (see also thread to PR#6662 in this mailing list: http://tolstoy.newcastle.edu.au/R/devel/04a/0550.html ) I am using R for teaching students Statistics, so they are working with a university-wide installation of R. I have compiled an R-library which contains all the instructions and customised

I'm using R on Windows v2.0.1 with the nlme package (v3.1-53) and am finding some unexpected discrepancies in the output of intervals.lme and coef.lme. I've included a toy dataset at the end, but briefly, the data are longitudinal data from couples in marital therapy. Each spouse's relationship satisfaction is measured 4 times; I've fit both linear and quadratic models to the

Hi all, I?m trying to plot confidence intervals for the fitted values I get with my lme model in R. Is there any way I can plot this in the form of a shaded band, like the output of geom_smooth() in ggplot2 package. ggplot2 seems to use only lm, glm, gam, loess and rlm as smoothing methods. Any advice on the functions I should use to accomplish this will be very helpful. Thank you very much.

Greetings: I''m having trouble connecting to PuppetDB. When I execute *sudo puppet agent --test* on a client node, I receive the following: Warning: Unable to fetch my node definition, but the agent run will continue: Warning: Error 400 on SERVER: Could not retrieve facts for web1.mydomain.tld: Failed to find facts from PuppetDB at db1.mydomain.tld:8081: Connection refused -

I have already obtained my confidence intervals from a bootstrapping procedure and now I want to plot the estimates and the confidence intervals similar to the plots obtained when the geom_smooth function is used in ggplot2. Thanks -- View this message in context: http://r.789695.n4.nabble.com/Plotting-Confidence-Intervals-with-a-proiri-calculated-Intervals-tp4322581p4322581.html Sent from the R

Hi, I know this is not exactly an R question but may be someone will nice enough to give me a pointer. I'm using nnet to fit a non linear univariate function. I wonder if there is a way to estimate a confidence interval for the predicted output beside using the residuals? The data set I use is relatively small and I use only a few (5:10) of these as test set or should I say validation set.

Hi, I'm regressing various body dimensions upon body mass using the 'lmodel2' function, as I'm keen to obtain both OLS and RMA slope values. I also wish to create a plot of the regressions, with the 95% confidence interval of both the slope and intercept. I know how to plot 95% ci bands of the OLS slope using lm with the 'predict' function and 'matlines'. Does

I'm using the plotmeans function to plot the means and 95% CI of my groups, however I also want to get the actual numbers of the CI, i.e. the upper and lower bounds. Is there anyway to get that information out of plotmeans? If not, is there an easy way to calculate the CIs? -- View this message in context: http://old.nabble.com/Confidence-intervals-tp26225647p26225647.html Sent from the R

fixed @ R-forge. New version should appear on CRAN soon. Thanks for the report! Torsten > > ---------- Forwarded message ---------- > Date: Sat, 3 Sep 2011 23:56:35 +0200 > From: Ulrich Halekoh <Ulrich.Halekoh at agrsci.dk> > To: "r-help at r-project.org" <r-help at r-project.org> > Subject: [R] glht (multcomp): NA's for confidence intervals using

Dear All, Is it possible to get confidence intervals for Harrell's concordance index or, equivalently, Somer's D using the rms package or in some other way ? I have survival data it would be the c-index in the Cox model setting Many thanks Dr Bernard North Statistical Consultant Statistical Advisory Service Advice and Courses on Research Design and Methodology Imperial College South

Hi, Sorry for repeated question. I performed logistic regression using lrm and penalized it with pentrace function. I wanted to get confidence intervals of odds ratio of each predictor and summary(MyModel) gave them. I also tried to get bootstrapping standard errors in the logistic regression. bootcov function in rms package provided them. Then, I found that the confidence intervals provided by

Hi all! I would like to estimate confidence intervals for a non lm model. For example, I use a mixed model of the form: md=lme(y~x1+I(x1^2)+x2 ...) Parameters x1+I(x1^2) are fixed effects and I would like to plot the predicted (partial) curve corresponding to these ones, along with 90% CI bands. Thus, I simulate (partial) predictions: Lx=c() Ux=c() Mx=c() z=c() for (j in

Dear all, I have read various descriptions of employing resampling techniques, such as the bootstrap, to estimate the uncertainties of the eigenvectors computed by PCA. When I try