similar to: testing differences between slope differences with lme

Dear All, Sorry if this question has been posted before but there's no enough answer to solved my problem and I'm going crazy because of it....:( I'm currently installed Samba-2.2.8a as logon server on My FreeBSD 5.0. For Win 9.X client there's no problem at all. But when I tried to joining W2K client into samba domain it's shown an error message such as : "the

Hi I am struggling with nested random effects and hope someone can help. I have individuals (ID) who are nested within families (FAM). I want to model an outcome variable, and take account of the intercorrelation of individuals within each family. I think this amounts to two random effects, one nested within the other. How can I model this in R? So far I have tried using the

Hello everyone. I downloaded the latest Version of wine with Yast. And I want to play WoW. I have allready the file "World of Warcraft" and I start the programm with the command in the terminal: wine "Z:/home/World of Warcraft/WoW.exe" -opengl The programm starts, I can loggin and I see all my characters, but if I loggin with one, there comes an instant error, from WoW and

Consider the following example (based on an example in Pat Altham's GLM notes) pyears <- scan() 18793 52407 10673 43248 5710 28612 2585 12663 1462 5317 deaths <- scan() 2 32 12 104 28 206 28 186 31 102 Smoke <- gl(2,1,10,labels=c("No","Yes")) Age <- gl(5,2,10,labels=c("35-44","45-54","55-64","65-74","75-84"),

hi all, when i try to connnect to my smaba server from a win2000 workstation, it says the using network name is no longer usable. the log is like below: ... [1970/01/01 00:00:39, 10] ../lib/util.c:dump_data(1541) [000] 4D 5C E0 48 6D A0 99 2B CC 9F 15 9C AF E6 74 3B M\.Hm..+ ......t; [1970/01/01 00:00:39, 10] ../lib/util.c:dump_data(1549) [010] CB 61 96 1F 8B ED DD 3B 5C 5C 31 37 32

Hi in order to keep the dial tone after pressing 9 for 'outside line' I have this in my extensions.conf [localpstn] ignorepat => 9 exten => _9[123456789]XXXXXXX,1,Dial,${PSTN}/${EXTEN:1} exten => _9[123456789]XXXXXXX,2,Congestion this is properly included in the handsets' context but the dial tone disappears after pressing 9. am I missing something? thanks in advance

> On Apr 18, 2018, at 1:04 AM, Hannah Meredith <hrmeredith12 at gmail.com> wrote: > > Hello, > > I am solving a set of ODEs using deSolve and have run into a problem I > would appreciate some advice on. One of the parameters (m) in the ODEs > changes between two states when one of the variables (D) crosses a > threshold (D_T) for the first time in either direction.

Hello List, Can you recommend me if odeSolve can handle stiff delay differential equations with discontinuities? Or any other package? Best, -m

hello! i don't want to test my sample data for normality, but exponential- lognormal- or gammadistribution. as i've learnt the anderson-darling-test in R is only for normality and i am not supposed to use the kolmogorov-smirnov test of R for parameter estimates from sample data, is that true? can you help me, how to do this anyway! thank you very much! nadja

Hi! I'm having some issues on both conceptual and technical levels for selecting the right combination of variables for this model I'm working on. The basic, all inclusive form looks like lm(mic ~ B * D * S * U * V * ICU) Where mic, U, V, and ICU are numeric values and B D and S are factors with about 16, 16 and 2 levels respectively. In short, there's a ton of actual explanatory

Hi, I am trying to set up a SAMBA PDC using LDAP for authentication. I am using this document as a guide: http://download.gna.org/smbldap-tools/docs/samba-ldap-howto/ SAMBA and openldap are running on the same machine for R&D purposes and I am using the following software: OpenSuSE 10.3 samba-3.0.26a-3 openldap2-2.3.37-6 smbldap-tools-0.9.2 I have configured slapd.conf:

Hello, I've been making a decent amount of use of the lme function recently, and I am aware that I can extract the variance and correlation components with the VarCorr(model) function. However, I am interested in testing these components as well...is there a module or function available for testing these? I understand there's some debate as to which test is best for a given situation

Hello, Sorry to be a bit longwinded, but I've struggled quite a bit with the following over the last few days. I've read all entries related to spatial autocorrelation in R help and haven't found what I'm after. If it's okay, I'm going to first describe my general understanding of the process by which a mixed model can account for correlated errors. If possible, please

Hello, I am solving a set of ODEs using deSolve and have run into a problem I would appreciate some advice on. One of the parameters (m) in the ODEs changes between two states when one of the variables (D) crosses a threshold (D_T) for the first time in either direction. Additionally, when the variable crosses the threshold (either by increasing or decreasing), there is a time delay (delay)

I could use some help generating a time series for the Mackey-Glass equation: dx/dt = 0.2 x(t-tau)/(1 + x(t-tau)^10) - 0.1 x(t) for the case there tau = 17. I tried the "ddesolve" package but the dde(...) function seems to hang, not producing anything. Can someone show me the R script how to do this? - Mike Beddo [[alternative HTML version deleted]]

Hi all, I hope that there might be some statistician out there to help me for a possible explanation for the following simple question. Y1~ lm(y~ t1 + t2 + t3 + t4 + t5,data=temp) # oridnary linear model library(gam) Y2~ gam(y~ lo(t1) +lo(t2) +lo(t3) +lo(t4) +lo(t5),data=temp) # additive model In the first model t1, t2 and t3 found to be significant,. However, in the second model (using

Hi all, As you can see from below, the result is strange... I would imagined that the bb result should be much higher and close to 1, any way to improve the fit? Any other classification methods? Thank you! data=data.frame(y=rep(c(0, 1), times=100), x=1:200) aa=glm(y~x, data=data, family=binomial(link="logit")) newdata=data.frame(x=6, y=100) bb=predict(aa, newdata=newdata,

Bother! This cold has made me accident-prone. I meant to hit Reply-all. Clarification below. -------- Original Message -------- Subject: Re: [R] Parameterization puzzle Date: Fri, 21 Jul 2006 19:10:03 +1200 From: Murray Jorgensen <maj at waikato.ac.nz> To: Prof Brian Ripley <ripley at stats.ox.ac.uk> References: <44C063E5.3020703 at waikato.ac.nz>

I'm fitting generalized linear mixed models to using several fixed effects (main effects and a couple of interactions) and a grouping factor (site) to explain the variation in a dichotomous response variable (family=binomial). I wanted to compare the output I obtained using PROC GLIMMIX in SAS with that obtained using lmer in R (version 2.6.1 in Windows). When using lmer I'm specifying

Sometimes one might like to obtain pointwise bootstrap bias-corrected, accelerated (BCA) confidence intervals for a large number of statistics computed from a single dataset. For instance, one might like to get (so as to plot graphically) bootstrap confidence bands for the fitted values in a regression model. (Example: Chiu S et al., Early Acceleration of Head Circumference in Children with