similar to: GLM and LM singularities

Thank you for your support. The next question: Is there a kind of common chain applied before ACCEPT policy? I want to DROP or REJECT Netbios traffic on most interfaces but do not want to repeat those rules in the rules file. Thanks, Boi -----Th?ng ?i?p chuy?n ti?p----- > From: Tom Eastep <tmeastep@hotmail.com> > To: Le.Hong.Boi@sg.netnam.vn > Subject: Re: Shorewall 1.4.6: common

Hi all, Over the years I have been using the same ports in my firewall for gluster 49152-49251 ( I know a bit too many ports but local network with limited access) Today I upgraded from version 9 to version 10 and it finally went well until I ran: gluster volume heal my-vol info summary I got the answer: Status: Transport endpoint is not connected I realized that glusterfsd was using 50000+

My Asterisk has started *frequently* segfaulting during IVR and voicemail activity -- it'll be playing a prompt gsm file to a caller and it'll just die (segfaulting, naturally dropping the caller) with no rhyme or reason. I've run gdb on four different core files and each one shows the reason for the segfault to be the following: #0 0x45df8b24 in Gsm_Short_Term_Synthesis_Filter

-- | ``We've all heard that a million monkeys banging on | Damien Miller - | a million typewriters will eventually reproduce the | <djm at mindrot.org> | works of Shakespeare. Now, thanks to the Internet, / | we know this is not true.'' - Robert Wilensky UCB / http://www.mindrot.org ---------- Forwarded message ---------- Date: Tue, 14 Nov 2000 16:33:18 +0100 From: System

https://bugzilla.samba.org/show_bug.cgi?id=10679 Summary: readlink_stat error results in deletion of mountpoints Product: rsync Version: 3.1.0 Platform: Sparc OS/Version: Solaris Status: NEW Severity: normal Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: bugz101 at

I run lm to fit an OLS model where one of the covariates is a factor with 30 levels. I use contr.treatment() to set the base level of the factor, so when I run lm() no coefficients are estimated for that level. But in addition (and regardless of which level I choose to be the base), lm also gives a vector of NA coefficients for another level of my factor. The output says that these coefficients

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I got the report Coefficients: (1 not defined because of singularities) while trying to get my model's coefficients from lm() What shall I do to avoid it and get the one missing coefficient? Thank you. lukas - -- Lukas Kubin lukas.kubin at permonik.com phone: 00420603836180 -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.0.5 (GNU/Linux)

Hello, I want to specify a linear regression model in which the metric outcome is predicted by two factors and their interaction. glm() computes effects for each factor level and the levels of the interaction. In the case of singularities glm() displays "NA" for the corresponding coefficients. However, svyglm() aborts with an error message. Is there a possibility that svyglm()

Hello, i have the following model, poi1<-glm(F~S+T+L+C,family=poisson,x=T) where F,S,T,L are metric and C is a factor variable with the levels "0", "1", "2", "3", "4", "5" and "6" if i do summary(poi1), i get the following Call: glm(formula = F ~ S + T + L + C, family = poisson, x = T) Deviance Residuals: Min

Hello, I'm doing an lm(y1~x1), no NAs in them, both of length 283. I get out however and 'NA' for the estimate of x1 and summary gives: Residuals: Min 1Q Median 3Q Max -0.1998309 -0.0447269 -0.0006252 0.0390933 0.3141687 Coefficients: (1 not defined because of singularities) Estimate Std. Error t value Pr(>|t|) (Intercept) -0.021291 0.003994 -5.331 2.01e-07 *** x1

Hello, I have a data set which I am using to find a model with the most significant parameters included and most importantly, the p-values. The full model is of the form: sad[,1]~b_1 sad[,2]+b_2 sad[,3]+b_3 sad[,4]+b_4 sad[,5]+b_5 sad[,6]+b_6 sad[,7]+b_7 sad[,8]+b_8 sad[,9]+b_9 sad[,10], where the 9 variables on the right hand side are all indicator variables. The thing I don't understand

I am using a nested model in R and the lm output shows 47 not defined because of singularities and I have no idea why. Any help on why this is happening or how to fix this problem would be very much appreciated. Below is the output I received from R. Thanks and happy holidays! Call: lm(formula = Dist ~ Treatment/SiteL/Territory) Residuals: Min 1Q Median 3Q Max -6.646 -1.443

Starting with the head of a 499 element matrix whose column names are now the labels trom a cut() operation, I needed to get to a vector of midpoints to serve as the basis for plotting a calibration curve ( exp(linear predictor) vs. : > dput(head(dimnames(mtcal)[2][[1]])) # was starting point testvec <- c("(-8.616,-3.084]", "(-3.084,-2.876]",

Hello, I am trying to run a linear regression analysis on my data set. For some reason most variables are removed due to singularities. My linear regression looks this way (I am using only partial data, which is selected by flags): fm<-lm(log(cplex6.time..sec..[flags]) ~ cplex6.cities[flags] + log(1/features.meanOver.frust[flags]) + log(1/features.meanOver.minDist[flags]) + [...]

Dear R-helpers, I'm stuck with a little problem that surely has an easy solution but I can't think of a way to solve it. I'd really appreciate any help you can offer me! I'll provide a small example. Given a dataframe data.txt that looks like this: ID freq Var Var_mean Ratio_mean Var_median Ratio_median Var_sum Ratio_min Var_max Ratio_max Var_min

I've only recently started using R. One of the problems I come up against is after having extracted a large dataset (>5M rows) out of database, I realize I need another variable. In this case I have data frame with dates. I want to find the minimum date for each value of x1 and add that minimum date to my data.frame. > randomdf <- function(p) { data.frame(x1=sample(1:10^4, 10^p,

Hi R users, I need some help in the followings: I'm doing factor analysis and I need to extract the loading values and the Proportion Var and Cumulative Var values one by one. Here is what I am doing: > fact <- factanal(na.omit(gnome_freq_r2),factors=5); > fact$loadings Loadings: Factor1 Factor2 Factor3 Factor4 Factor5 b1freqr2 0.246 0.486 0.145

I have FreeBSD 5.3 running on an Sun Ultra 10. I installed Samba 3.03, from patching SWAT now says version 3.07. I am having an issue printing from Windows through Samba to Savin copiers (model 9935DPE and 9945DPE) when downloading the Windows drivers directly from the [print$] share. When I print a test page, the orientation of the lettering is correct but the letters are gibberish. The

Hello list. I've a strange issue with a samba 3.4.3 print server. Everything is fine with most printers, meaning drivers are assigned on server side and automatically distributed to the clients as expected. However, I fail to configure a Xerox document center 7435 the same way. When I attempt to assign a driver to the printer, from a windows client with admin privileges, I get an

the study design of the data I have to analyse is simple. There is 1 control group (CTRL) and 2 different treatment groups (TREAT_1 and TREAT_2). The data also includes 2 covariates COV1 and COV2. I have been asked to check if there is a linear or quadratic treatment effect in the data. I created a dummy data set to explain my situation: df1 <- data.frame( Observation =