search for: randtests

Hi all, I am trying to compare two distance matrices with R. I would like to create a XY plot of these matrices and do some linear regression on it. But, I am a bit new to R, so i have a few questions (I searched in the documentation with no success). The first problem is loading a distance matrix into R. This matrix is the output of a the Phylip program Protdist and lookes like this: 5

Hi All, I am using canonical correspondence analysis to compare a community composition matrix to a matrix of sample spatial relationships and environmental variables. In order to parse out how much variance is explained purely by space (S/E) or the environment (E/S) I am using a conditional (partial) CCA. I want to test significance via Monte Carlo but I can not find a way to do this with a

Buenas: Estoy construyendo un paquete, cuyo fuente adjunto y necesito importar la función runs.test desde el paquete tseries y la función runs.test desde el paquete randtests. Esto hace que al hacer un chequeo del paquete con "R --check --as-cran" me dé como aviso "replacing previous import by ?tseries::runs.test? when loading ?RcmdrPlugin.UCA?" lo que no le gusta a los responsables de publicar el paquete. ¿Alguna sugerencia? P.D.: Utilizo R ve...

Dear R Users, I am hoping you can help me. I have received code from a colleague who uses Matlab. I need to translate it into R. I am wondering if there is a randomization t-test (from non-parametric statistics) function already defined in R. (In Matlab the function is randtest.m.) ************************************************************************ ********** QUESTION: Is anyone

Hello, I am trying to run some AMOVA analyses with the amova function in the package ade4. When running the example dataset provided in ade4, I noticed a difference between the published results from the same data (Excoffier et al. 1992) and what ade4 calculates. Below are the data for "within sample/population" from ade4 and from the haplotypic distance matrix in the paper:

Hola a tod en s, queremos hacer una comparación entre dos lugares muy alejados entre sí en relación a la temperatura de cada sitio usando medias horarias de un período determinado. Sólo hay medidas de un sensor en cada sitio y queremos saber si las diferencias son significativas o no entre sitios/curvas. Hemos usado un test de Mann?Whitney U con la función wilcox.test (paired=F) ya que los

Hola de nuevo, ya empiezo a ser pesado ¿no? bueno, no importa porque aprendemos todos. Eso, al menos, me parece. Hoy estuve estudiando en R el tema de la aleatoriedad. Veo que hay múltiples posibilidades pero me están chocando mucho. Encuentro que el generador de números pseudo aleatorios es más pseudo de lo que debería. Me explico, quiero generar 0 y 1 aleatorios. Estoy trabajando con una

> Background: > OS: Linux Ubuntu Dapper > release: R 2.3.0 > editor: GNU Emacs 21.4.1 > front-end: ESS 5.2.3 > ----------------------------- > Colleagues > I have two spatial datasets (latitude, longitude, fish eggs) and (latitude, longitude, fish larvae) at the same 280 stations (i.e. 280 cases). I want to determine if the 2 datasets are spatially correlated. In other

Hi Now a more theoretical question. I have two correlation matrices - one of a set of variables under a particular condition, the other of the same set of variables under a different condition. Is there a statistical test I can use to see if these correlation matrices are "different"? Thanks Mick

Thank you for reading. I am trying to get sphericity values, and I understood I need to use mlm, but how do I implement a nested within subject design in mlm? I already read the R newsletter, fox chapter appendix, EZanova, and whatever I could find online. My original ANOVA anova(aov(resp ~ sucrose*citral, random =~1 | subject, data = p12bl, subset = exps==1)) Or anova(aov(resp ~