similar to: edf's higher than 1

Dear R-Helpers, I posted two days ago on testing significance of random effects in mgcv, but realize I did not make my overall purpose clear. I have a series of N short time series, where N might range from 3-10 and short means a median of 20 time points. The sample data below (PCP) has N = 4 cases with 9, 13, 16 and 16 observations over time respectively. The data set contains four

Dear R-helpers, I'd like to understand how to test the statistical significance of a random effect in gamm. I am using gamm because I want to test a model with an AR(1) error structure, and it is my understanding neither gam nor gamm4 will do the latter. The data set includes nine short interrupted time series (single case designs in education, sometimes called N-of-1 trials in medicine)

University of California Merced Merced, CA Programmer Analyst II/III (Research Assistant) Job Code SSNRI723A Open until filled. ? In the Sierra Nevada Research Institute at UC Merced, act in support of research in applied climatology and statistical modeling for wildfire, energy and water resource management applications and assist the Principle Investigator with the development of software,

Dear R users, I have seven regression lines I´d like to compare, in order to find out if these are significatively different. The main problem is that these are curves, non normal, non homogeneous data, I´ve tried to linearize them but it has not worked. So I´d like to know if you know any command or source in R which explains how to perform this kind of comparison. Thanks in advance for your

Greetings, R users! I'm excited and pleased to announce that the weightr package was released to CRAN today: https://cran.r-project.org/web/packages/weightr/ Our package provides a function for meta-analysts to implement the Vevea and Hedges (1995) weight-function model for publication bias in R and, by specifying an additional argument, to implement the modified Vevea and Woods (2005)

Dear R users, I'm pleased to announce that the first major update to the MAVIS package (Meta Analysis via Shiny) has been released to CRAN. MAVIS: Meta Analysis via Shiny v1.1 "Smiling Fox" has expanded greatly over the last couple of months to include the following. - User interface has been improved with the ?shinyBS? package and icons. - Support for single case design,

Dear R users, I'm pleased to announce that the first major update to the MAVIS package (Meta Analysis via Shiny) has been released to CRAN. MAVIS: Meta Analysis via Shiny v1.1 "Smiling Fox" has expanded greatly over the last couple of months to include the following. - User interface has been improved with the ?shinyBS? package and icons. - Support for single case design,

We are using GAM in mgcv (Wood), relatively new users, and wonder if anyone can advise us on a problem we are encountering as we analyze many short time series datasets. For each dataset, we have four models, each with intercept, predictor x (trend), z (treatment), and int (interaction between x and z). Our models are Model 1: gama1.1 <- gam(y~x+z+int, family=quasipoisson) ##no smooths Model

Hello, Please let me know how I can troubleshoot this - driving me crazy! I have the following dovecot-ldap.conf file: hosts = ldap.ucmerced.edu dn=cn=natsciadmin,ou=Special Users,dc=ucmerced,dc=edu dnpass=******** ldap_version = 3 base = ou=People,dc=ucmerced,dc=edu deref = never scope = subtree user_attrs = uid user_filter = (&(ou=Natural

I received the warning "DNS updated failed!" during net join. Is this an important warning? Will there be problems? Immediately after the join, clients using smbclient were able to authenticate and access shares on this server - even though "net ads testjoin" complained about kerberos problems. # net join -U Administrator Administrator's password: Using short domain name

I almost go this liked but then I get the following: Mar 7 18:09:43 malaga dovecot: auth(default): ldap(jnorris,76.20.83.98): pass search: base=ou=People,dc=ucmerced,dc=edu scope=subtree filter=(&(uid=jnorris)) fields=uid,userPassword Mar 7 18:09:43 malaga dovecot: auth(default): ldap(jnorris,76.20.83.98): result: uid(user)=jnorris Mar 7 18:09:43 malaga dovecot: auth(default):

Hello, Well... thanks to the input of all of you I have my dovecot->ldap connection working for almost all of my clients, however... on outlook, a message for certificates being trusted comes up, the user clicks yes and connection fails. Questions: Do I have to get an ssl certificate to make it work? ( cost ouch!) Is there a way around this using my own self-signed certificates? Is there

Dear all, I'm performing RDA on plant presence/absence data, constrained by geographical locations. I'd like to constrain the RDA by the "extended matrix of geographical coordinates" -ie the matrix of geographical coordinates completed by adding all terms of a cubic trend surface regression- . This is the command I use (package vegan): >rda(Helling ~

Hello all, the dovecot -> ldap connection is working correctly but I notice something in my maillog that is disturbing: dovecot.conf in the passdb section I have passdb passwd { } then it drops down into the ldap stuff. The user gets validated via this first and if it fails passes on to the ldap stuff. the problem is: in the file the user's unencrypted password is showing up as

Hello Dan, > The Linux distribution I uses is a Red Hat EL-AS 3 (update 4) and the > platform is an old LION (HP rx4610) (4xIA64 - 666 MHz, 1GB memory). As we say in france, "Les cordonniers sont toujours les plus mal chausses", and in your native language: "Nobody is worse shod than the shoemaker''s wife". For the moment, I have nothing else than this Lion

Hi folks BVT and EDF are both xen scheduler. It is expected that administrator will choose the scheduler most appropriate to their application and configure the machine to boot with that scheduler. I just wonder What''s the main difference between BVT and EDF? What kind of scenario to use them? Thanks _______________________________________________ Xen-tools mailing list

Hi! I''m currently working on Earliest Deadline First qdisc implementation for providing delay bounded real-time services according IntServ architecture under Linux. My first step was simple EDF implementation, that is available from http://www.avalon.ru/~dketov/. If someone interesting in using EDF or just trying and testing it, please go ahead :) Any questions are welcome. Dimitry.

Hi, I've got the following edf: *** x = c(1.6,1.8,2.4,2.7,2.9,3.3,3.4,3.4,4,5.2) F2.5 <- ecdf(x) plot(F2.5, verticals= TRUE, do.p = TRUE, lwd=3, ylab = "", xlab = "", xlim = c(1,5.5)) abline(h= (0:5)*0.2) #mean abline(v=mean(x), lwd=2) mtext(text=expression(bar(x) == 3.07), side=1, adj=0.462, padj=3, cex=1) *** Now I would like to

Dear list, I do apologize if these are basic questions. I am fitting some GAM models using the mgcv package and following the model selection criteria proposed by Wood and Augustin (2002, Ecol. Model. 157, p. 157-177). One criterion to decide if a term should be dropped from a model is if the estimated degrees of freedom (EDF) for the term are close to their lower limit. What would be the

Dear useRs, I reran an analysis with bam (mgcv, version 1.7-17) originally conducted using an older version of bam (mgcv, version 1.7-11) and this resulted in the same estimates, but much lower standard errors (in some cases 20 times as low) and lower p-values. This obviously results in a larger set of significant predictors. Is this result expected given the improvements in the new version? Or