similar to: Nuisance parameters

*Dear experts,* Please excuse me for disturbing... Right now I am struggling with GLM a bit... Would you be so kind to provide me a solution on using nuisance variables. The problem is that I have data on Depression (volumetric measurements of different brain regions) and I want to include age, gender and education as nuisance parameters in the model. In the other words I would like to model the

Hi, I am new to R, so I am unsure of the formula to set up this analysis. I would like to run a linear model with a continuous dependent variable (brain volume) and a continuous independent variable (age) while controlling for a categorical nuisance variable (gender). Age and brain volume are correlated. There are no gender differences in age but there are significant gender differences in brain

Hello group, Can someone please put me through how to estimate the nuisance parameters (Saturation parameter and radius) for the Geyer saturation process? It seems quite confusing to me how these parameters are achieved, but they are very important in determining the interaction between points in a point process. I am using Spatstat package. Thanks. neba [[alternative HTML version deleted]]

I have the following dataset: 96 plots 12 varieties 2 time points The experiment is arranged as follows: A single plot has two varieties tested on it. With respect to time points, plots come in 3 kinds: (1) varietyA, timepoint#1 vs. variety B, timepoint#1 (2) varietyA timepoint #2 vs. varietyB timepoint #2 (3) varietyA timepoint #1 vs. variety A timepoint#2 - there are 36 of each kind

Hola! Starting with rw1071, just after starting Rgui the scope is not with Rconsole, but some other place. This means I have to do a mouse click in the Rconsole before starting to write the first command. Since I always forget this, I end up writing the first command twice. This is of course only a minor nuisance, but why is focus no longer set to Rconsole window when start-up? This is on

On Saturday, August 10, 2024 10:13 AM, Chris Green wrote: >I have several ssh keys in the ~/.ssh directory of my desktop machine. >As a result whenever I try to connect to a system which uses password >authentication I get the "Too many authentication failures" error. > >Yes, I know I can get round this by setting PreferredAuthentications but this is >rather a nuisance

On Sat, Aug 10, 2024 at 10:34:45AM -0400, rsbecker at nexbridge.com wrote: > On Saturday, August 10, 2024 10:13 AM, Chris Green wrote: > >I have several ssh keys in the ~/.ssh directory of my desktop machine. > >As a result whenever I try to connect to a system which uses password > >authentication I get the "Too many authentication failures" error. > > >

On 8/10/24 17:13, Chris Green wrote: > I have several ssh keys in the ~/.ssh directory of my desktop machine. > As a result whenever I try to connect to a system which uses password > authentication I get the "Too many authentication failures" error. > > Yes, I know I can get round this by setting PreferredAuthentications > but this is rather a nuisance to have to do

I have several ssh keys in the ~/.ssh directory of my desktop machine. As a result whenever I try to connect to a system which uses password authentication I get the "Too many authentication failures" error. Yes, I know I can get round this by setting PreferredAuthentications but this is rather a nuisance to have to do individually for all systems that use password authentication. It

https://bugzilla.mindrot.org/show_bug.cgi?id=1428 Summary: Banner output can be a nuisance with non-interactive use Classification: Unclassified Product: Portable OpenSSH Version: 4.3p2 Platform: All OS/Version: All Status: NEW Severity: enhancement Priority: P2 Component: sshd AssignedTo:

Dear R-Community! For example I have a study with 4 treatment groups (10 subjects per group) and 4 visits. Additionally, the gender is taken into account. I think - and hope this is a goog idea (!) - this data can be analysed using lme as below. In a balanced design everything is fine, but in an unbalanced design there are differences depending on fitting y~visit*treat*gender or

This may be a really obvious question but I just can't figure out how to do it. I have a small dataset that I am trying to compare to some controls. It is essential that the controls are matched on Cancer Stage (a numerical factor between 1 and 4), and then ideally on Age (integer), Gender (factor), Performance Status(factor). I'm using matchit to try and do this, but it seems to give

I am looking at data of the following structure: n <- 100 dataset <- data.frame(gender=NULL,subject=NULL,outcome=NULL) for (i in 1:n){ gender <- c(rep("m",5),rep("f",5)) subject <- letters[1:10] outcome <- c(rbinom(5,1,0.6),rbinom(5,1,0.4)) dataset <- rbind(dataset,cbind(gender,subject,outcome))} I am interested in the significance of

Hi, There are 20 subjects grouped by Gender, each subject has 2 tissues (normal vs. cancer). In fact, it is a 2-way anova (factors: Gender and tissue) with tissue nested in subject. I've tried the following: Model 1: lme(response ~ tissue*Gender, random = ~1|subject) Model 2: response ~ tissue*Gender + subject Model 3: response ~ tissue*Gender It seems like Model 1 is the correct one

Hi, I would be very grateful for advice on getting confidence intervals for the ordinary (non smoothed) parameter estimates from a gam. Motivation I am studying hospital outcomes in a large data set. The outcomes of interest to me are all binary variables. The one in the example here, Dead30d, is death within 30 days of admission. Sexf is gender (M or F), Age is age in years at the start

Dear list, I would like to run an ANCOVA using car::Anova with repeated measures factors, but I can't figure out how to do it. My (between-subjects) covariate always interacts with my within-subject factors. As far as I understand ANCOVA, covariates usually do not interact with the effects of interest but are simply additive (or am I wrong here?). More specifically, I can add a covariate as

[sorry if this arrives in duplo: it doesn't show up in the archives and it seems that the address I posted this from originally is no longer functional] Hello, I think I could do with some suggestions concerning the following problem. I have data from a set of experiments on motion sickness where for each subject, I have 1) personal data like age and gender 2) a subjective rating of

Does anyone know if the lmer function of lme4 works fine for unbalanced designs? I have the examination results of 1000 pupils on three subjects, one score every term. So, I have three scores for English (one for every term), three scores for maths etc. However, not everybody was examined in maths, not everybody was examined in English etc, but everybody was in effect examined on four subjects. I

Hi all, I have collected response time data from 178 participants ('sub') for each combination of 4 within-Ss factors ('con','int','tone','cue'). Additionally, I have recorded the gender of each participant, so this forms a between-Ss factor ('gender'). Normally this would be analyzed using aov:

> On Apr 16, 2016, at 2:03 AM, Akhilesh Singh <akhileshsingh.igkv at gmail.com> wrote: > > Dear All, > > I have got your core message, that it is my responsibility to determine whether any particular function in my version of R satisfies the language requirements at the time of your use. Jim Albert and Maria Rizzo must have used their code, which was permitted in the R-code