similar to: matrix conformity with matrix 1x1 and scalars

Un saludo: Estoy intentando con el comando "detach()" eliminar todos los archivos que durante la analíticas voy utilizando y "attached" al programa. El problema es que usando detach () no me borra todo lo adjuntado. No sé si estoy usando mal el comando o estoy usando un comando incorrecto que no es para esto. Gracias. Juan Bautista Relloso Barrio Técnico del Dpto

Hola, ¿qué tal? attach y detach son funciones cuyas páginas de ayuda están llenas de avisos y caveats además de sugerencias acerca de alternativas a su uso. Yo siempre recomiendo no utilizarlas y yo en particular, las uso, si acaso, de manera sumamente excepcional. Un saludo, Carlos J. Gil Bellosta http://www.datanalytics.com El día 21 de noviembre de 2013 13:18, Juan Bautista <jbautista

Hola a todos: Preguntar si alguien sabe si se puede conectar el Tinn-R con la versión 2.15 de "R" Yo lo he intentado y no lo consigo. si abro un script con el tinn-R no se me activan los botones para poder correr las lineas y que el resultado aparezca en la ventana de abajo de "R". Vamos como pasaba con la versión 2.14 Sin más un saludo a todos y gracias por

Buenas tardes. Tengo un ensayo de dos factores (Variedad y dosis) Quisiera hacer anovas para cada una de las dos variedades que estoy evaluando. Lo puedo hacer cogiendo los datos primero de una variedad y luego de la otra. Pero creo que hay un comando "by variedad" que lo hace si necesidad de andar modificando el archivo de datos. Pero no sé dónde hay que colocarlo. Si alguno me puede

Buenas, En R, como en la mayoría del software estadístico, no se utiliza ningún nivel de confianza sino que lo que se calcula es el p-valor asociado al contraste. De forma que cuanto más cerca de 0 esté el p-valor "menos credibilidad le damos a la hipótesis nula". Dicho mejor, debemos rechazar la hipótesis nula si el p-valor está por debajo de nuestro nivel de confianza. Por ejemplo,

Please forgive the cross posting. I sent this to Medstats and have not received any response. I am looking for a good written explanation of components of variance (a.k.a variance components), in particular as they are used in genetic analyses. Does anyone have a suggestion? I am interested in books, articles and on-line material. I intent to give the material to some of my students none of whom

Hi, I'm trying to make a chromosomal map in R by using the locus. I have a list of genes and their locus, and I want to visualise that so you can see if there are multiple genes on a specific place on a chromosome. A example of what I more or less want is below: http://www.nabble.com/file/p21474206/untitled.JPG untitled.JPG The genes and locus are here:

On Fri, 16 Jan 2009, r-help-request at r-project.org wrote: > Date: Thu, 15 Jan 2009 13:29:03 +0100 > From: Pablo G Goicoechea <pgoikoetxea at neiker.net> > Subject: Re: [R] How to create a chromosome location map by locus ID > To: Sake <tlep.nav.ekas at hccnet.nl> > Cc: r-help at r-project.org > Message-ID: <496F2C0F.3040304 at neiker.net> > Content-Type:

Dear R users: I am a newby to R, under Windows XP. Sorry if my question is too obvious, but I have not found any answer in the archives. I was using the R-Coda package with R version 2.4.1 and everything was going OK. After upgrading to R v.2.5.0, I receive the following error message when I'm trying to run codamenu(): "Error in coda.options(default = TRUE) : cannot change value of

Cada vez que intento cargar el paquete "agricolae" me da el siguiente mensaje: Error: package or namespace load failed for 'agricolae' in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]): there is no package called 'spData' He intentado todo actualizar los paquetes, volverlos a instalar pero no hay forma. Si sabeis la solución ?? Un saludo. Juan

Hi out there, I am trying to fit a species accumulation curve (increase in number of species known vs. sampling effort) for multiple regions and several bootstrap samples. The bootstrap samples represent different arrangements of the actual sample sequence. I fitted a series of nlme-models and everything seems OK, but since the observations are correlated I tried to include some correlation

I have an interesting lme - problem. The data is part of the Master Thesis of my friend, and she had some problems analysing this data, until one of her Jurors proposed to use linear mixed-effect models. I'm trying to help her since she has no experience with R. I'm very used to R but have very few experience with lme. The group calls of one species of parrot were recorded at many

I created a small example to show something that I do a lot of. "scale" data by month and return a data.frame with the output. "id" represents repeated observations over "time" and I want to scale the "slope" variable. The "out" variable shows the output I want. My for..loop does the job but is probably very slow versus other methods. ddply

Hi all, As a molecular biologist by training, I'm fairly new to R (and statistics!), and was hoping for some advice. First of all, I'd like to apologise if my question is more methodological rather than relating to a specific R function. I've done my best to search both in the forum and elsewhere but can't seem to find an answer which works in practice. I am carrying out

http://bugzilla.mindrot.org/show_bug.cgi?id=624 djm at mindrot.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |WONTFIX ------- Additional Comments From djm at mindrot.org 2004-12-20 11:22

http://bugs.freedesktop.org/show_bug.cgi?id=11947 Summary: TFT monitor detected as 1x1 pixels Product: xorg Version: unspecified Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org ReportedBy:

Dear R-users, I am trying to develop a function that takes another function as an argument, changes its default values and returns a list of things, among which the initial function with its default arguments changed. An example of what i will like to obtain below: ## initial function myfun <- function(x, a=19, b=21){ return(a * x + b) } ## this is the function i will like to create ##

Dear R users, I am using lme and nlme to account for spatially correlated errors as random effects. My basic question is about being able to correct F, p, R2 and parameters of models that do not take into account the nature of such errors using gls, glm or nlm and replace them for new F, p, R2 and parameters using lme and nlme as random effects. I am studying distribution patterns of 50 tree

Dear ALL: How I show the area under the normal curve for example for the following example: Assume X has N(100,15). How to show the area corresponding to the probability: P(90<X<110) With many thanks Abou ========================== AbouEl-Makarim Aboueissa, Ph.D. Assistant Professor of Statistics Department of Mathematics & Statistics University of Southern Maine 96

On Aug 19, 2010, at 1:38 PM, Andrew Lenharth wrote: > I am needing to return i128 as a shadow return due to abi issues on > alpha. The problem I am running into is the code for doing that with > scalars (currently only used for vectors, as far as I can tell) sets > the sret on the parameter. If I just go this path, then I am setting > sret on an integer pointer, which verify