similar to: Unbalanced Mixed Linear Models With Nested Stratum

Hi folks, I am trying to figure out how run a repeated measures ANOVA on the following data set. subject trial frequency dplvl 1 FSI052A A 1 NA 2 FSI052B B 1 NA 3 FSI053A A 1 NA 4 FSI055A A 1 NA 5 FSI055B B 1 NA 6 FSI057A A 1 NA 7 FSI057B B 1 NA 8 FSI058A A 1 NA 9

Hi all I'm trying to complete a textbook example originally designed for SPSS in R, and I therefore need to find out how to compute an unbalanced ANOVA in R. I did a search on the mailinglist archives an found a post by Prof. Ripley saying one should use the lme function for (among other things) unbalanced ANOVAs, but I have not been able to use this object. My code gives me an error.. Why

Hello everyone, If anyone is interested, I have created a HOWTO on running a Motorola GPS receiver connected to a CentOS 7 box via serial port (com1), with 1PPS over DCD. The trick here is that CentOS 7 uses systemd and setup was a bit different. Anyway, everything works. The result is a highly accurate NTP server, Stratum 1. Here is the documentation.

The right thing to do next is to ask for this change upstream, so people can get regular updates and stay secure. Lucian -- Sent from the Delta quadrant using Borg technology! Nux! www.nux.ro ----- Original Message ----- > From: "xaos" <xaos at darksmile.net> > To: centos at centos.org > Sent: Friday, 12 December, 2014 14:55:12 > Subject: Re: [CentOS] HOWTO Stratum

Am 11.12.2014 um 21:57 schrieb xaos: > Hello everyone, > > If anyone is interested, I have created a HOWTO > on running a Motorola GPS receiver connected to > a CentOS 7 box via serial port (com1), > with 1PPS over DCD. > > The trick here is that CentOS 7 uses systemd > and setup was a bit different. Anyway, > everything works. > > The result is a highly

On Fri, Dec 12, 2014 at 09:55:12AM -0500, xaos wrote: > > Alexander, > > First off, CentOS7 came with cronyd. Which was very annoying > because when I tried to remove it, it had 2 prereqs: > anaconda > initial-setup > > Now, I don't know why the setup program kept these > 2 around. I think CentOS7 needs a bit growing up. 'initial-setup' is the program

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 12.12.2014 17:55, Jonathan Billings wrote: > 'initial-setup' is the program that runs on your first boot, and > it requires 'anaconda'. 'anaconda' requires the 'chrony' package. > Services in the default install require a time-sync daemon, and > chrony is the default, so this isn't really

On Fri, Dec 12, 2014 at 09:50:16PM +0100, Sven Kieske wrote: > Then it should just require a time-sync daemon, and not a specific one > imho. Perhaps both the 'chrony' and 'ntp' packages should Provide 'server(smtp)' (similar to how sendmail/postfix work with SMTP)? That way anaconda could just require 'server(ntp)'. Either way, this isn't something

Maybe there's an ntp expert out there who can help me with this. I have an NTP server serving our local network. It is set up to use pool.ntp.org servers for it's upstream sync. ntpq -p reveals that the server is stuck on stratum 16, which I understand means "not synced". The clients are unable to sync with my local server because of this. Here's the output of ntpq -p

Alexander, First off, CentOS7 came with cronyd. Which was very annoying because when I tried to remove it, it had 2 prereqs: anaconda initial-setup Now, I don't know why the setup program kept these 2 around. I think CentOS7 needs a bit growing up. Anyway, I disabled chrony: systemctl disable time-sync systemctl stop time-sync Then I installed ntp. However, when I started it it seems that

Dear list members, I want to use a GLM with an unbalanced factor and continuous variables. My factor F has 12 unbalanced levels:

Dear all, I need an help because I am really not able to find over internet a good example in R to analyze an unbalanced table with Anova with repeated measures. For unbalanced table I mean that the questions are not answered all by the same number of subjects. For a balanced case I would use the command aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), data=scrd)

Hello R-users, I am trying to obtain Type III SS for an ANOVA with subsampling. My design is slightly unbalanced with either 3 or 4 subsamples per replicate. The basic aov model would be: fit <- aov(y~x+Error(subsample)) But this gives Type I SS and not Type III. But, using the drop() option: drop1(fit, test="F") I get an error message: "Error in

Hi there, I am looking to fit a two-way random effects model to an *unblalanced* layout, y_ijk = mu + a_i + b_j + eps_ijk, i=1,...,R, j=1,...,C, k=1,...,K_ij. I am interested first of all in estimates for the variance components, sigsq_a, sigsq_b and sigsq_error. In the balanced case, there are simple (MM, MLE) estimates for these; In the unbalanced setup,

Greetings from Rio de Janeiro, Brazil. I am looking for advice / references on binary logistic regression with weighted least squares (using lrm & weights), on the following context: 1) unbalanced sample (n0=10000, n1=700); 2) sampling weights used to rebalance the sample (w0=1, w1=14.29); e 3) after modelling, adjust the intercept in order to reflect the expected % of 1?s in the population

Hello, I was wondering if there was an easy way to calculate the rate of change in a variable for an unbalanced panel data set. Below is a detailed description in R of what I am asking. Thank you. Geoff #Suppose I have the following unbalanced panel data; Person <- c(rep('Frank',5), rep('Tony',4), rep('Edward',4)); Year <-

Hi all, Say I have the following data: a<-data.frame(col1=c(rep("a",5),rep("b",7)),col2=runif(12)) a_aov<-aov(a$col2~a$col1) summary(aov) Note that there are 5 observations for a and 7 for b, thus is unbalanced. What would be the correct way of doing anova for this set? Thanks, Sachin [[alternative HTML version deleted]]

I have an unbalanced design I would like to run a power analysis on. What I have been able to find has pointed me to using the pwr.f2.test function as described below. My problem is that I don't know how to appropriately define the numerator and demoninator df. If someone can help here is some more info about my design. It is an unbalanced 2^3 x 3 design where the factor with 3 levels is a

Dear R users What would be the best way to approach estimating a panel regression with twoways random effects, on unbalanced data? Unfortunately, the "plm" package has no implementation of twoways random effects for unbalanced data. Currently I'm considering two approaches: - extend "plm" to cover this type of panel regression. (For the authors, cc'ed:) Would

Hello all, I am currently working with rpart to classify vegetation types by spectral characteristics, and am comming up with poor classifications based on the fact that I have some vegetation types that have only 15 observations, while others have over 100. I have attempted to supply prior weights to the dataset, though this does not improve the classification greatly. Could anyone supply some