search for: psychol

...which direction the observed frequencies deviate from the expected ones for my different factors. To assess the significance of any such effects I would need to calculate the ratio of the log-linear parameter estimate to its standard error (as explained in Howell: Statistical Methods for Psychology, 4th Edition, p. 637ff). Unfortunately, I have no idea and couldn't find out what this standard error refers to and how to calculate it or the ratio using R (well, the ratio is no problem if I have the standard error). I would very much appreciate any help! Thanks and best wishes, Co...

...I will need to do this "by hand" with an equation? Also, do I have to take into account that the squared semi-partial correlations are correlated in terms of the dependent variable? Thanks very much. Nichola -- http://www.shes.bangor.ac.uk/home.html ------------ Dr Nichola Callow (C.Psychol.) School of Sport, Health, and Exercise Science University of Wales, Bangor George Building Holyhead Road Bangor Gwynedd LL57 2PX Tel: 44 (0) 1248 388243 Fax: 44 (0) 1248 371053 E-Mail: n.callow at bangor.ac.uk

Hi, After searching the archives and Google and not turning up anything, I thought I'd ask here. Has anyone done an R package for calculating Gwet's AC1 statistic and variance? K.L. Gwet. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008 May;61(Pt 1):29-48. http://www.ncbi.nlm.nih.gov/pubmed/18482474 Thanks, --pete

Hi. I get an error message about not converging when I try and use the pvals.fnc from the languageR library. The LMER analysis worked fine (See below). I am not an expert so I don't understand why the LMER worked but not the pvals.fnc Any help gratefully received. - Mike AIC BIC logLik MLdeviance REMLdeviance -7324 -7254 3673 -7451 -7346 Random effects: Groups

Dear R users, I am trying to draw error bars in a bar plot, I use this code (tried many others which did not work): install.packages() library(gplots) y <-c(39.02, 46.42) se <- c(7.57,7.35) plot <- barplot(y, beside=TRUE, col=0, ylim=c(0,47), axis.lty=1, main="far-red", xlab="latitude", names.arg=c("56N", "68N")) superpose.eb(plot, y, se,

Hi, I'm trying to use the function "error.bars", but the program don't find it, and I dont't found any package with this function. Is there some another functin to draw barplots with error bars? Sueli Rodrigues Eng. Agr?noma - UNESP Mestranda - USP/ESALQ PPG-Solos e Nutri??o de Plantas Fones (19)93442981 (19)33719762

Dear All, I want to know if there is some easy and reliable way to estimate the number of dominant eigenvalues when applying PCA on sample covariance matrix. Assume x-axis is the number of eigenvalues (1, 2, ....,n), and y-axis is the corresponding eigenvalues (a1,a2,..., an) arranged in desceding order. So this x-y plot will be a decreasing curve. Someone mentioned using the elbow (knee)

...I only get Estimate, Standard Error and t value in the output for the fixed effects. Is there a way I get degrees of freedom and p values as well? I'm a very new to R, so sorry if this a stupid question. Thank you - Mike Mike Ford Centre for Speech and Language Department of Experimental Psychology Downing Street Cambridge CB2 3EB Tel: +44 (0) 1223 766559 Fax: +44 (0) 1223 766452