similar to: Step wise regression

Amigos erreros Pocas veces consulto, por que siento que soy muy básico, pero esta vez quise socializar a pesar de ello. Tengo 2 archivos .csv pero quiero asignar valores de una columna a las mismas variables que se encuentran en el otro archivo. así; head(archivo_csv1) Long Año Proced 1 47 2016 9003 2 48 2016 9003 3 49 2016 9003 4 49 2016 9003 5 50 2016 9003 6 50 2016

merge sirve pero no para cumplir la condición de si un dato es "x", buscarlo en el otro data.frame y asignarlo El mié., 20 mar. 2019 a las 10:23, Carlos J. Gil Bellosta (< cgb en datanalytics.com>) escribió: > ?merge > > El mié., 20 mar. 2019 a las 14:22, MAURICIO MARDONES (< > mauricio.mardones en ifop.cl>) escribió: > >> Amigos erreros >>

Dear all, Has anyone written functions to compute (and ideally project / plot onto a plane) confidence ellipsoids for q linear model parameters, q > 2 ? Greetings and best wishes, Renaud -- Dr Renaud Lancelot, v?t?rinaire CIRAD, D?partement Elevage et M?decine V?t?rinaire (CIRAD-Emvt) Programme Productions Animales http://www.cirad.fr/presentation/programmes/prod-ani.shtml ISRA-LNERV

Hello I've another question :-) I would like to transform a list to a integer. I must be sure that the number entered by the user is an integer! Thus, I've made : repeat{ cat("Effectif des populations (integer):") n<-scan("",n=1,what=list(0),quiet=TRUE) if (is.integer(n[[1]])==TRUE) break print("L'effectif des population doit etre un entier")

thanks a lot Renaud. but i was interested in Finney's fiducial confidence intervals of LD50 so to obtain comparable results with SPSS. But your reply leads me to the next question: does anybody know what is the best method (asymptotic, bootstrap etc.) for calculating confidence intervals of LD50? i could "get rid" of Finney's fiducial confidence intervals but

Dear all, I am trying to avoid the warnings produced by: > x <- -2:2 > log(x) [1] NaN NaN -Inf 0.0000000 0.6931472 Warning message: production de NaN in: log(x) I thought that using ifelse would be a solution, but it is not the case: > ifelse(test = x < 0, yes = NaN, no = log(x)) [1] NaN NaN -Inf 0.0000000 0.6931472 Warning message: production

To Windows R users: The binary build of R that I uploaded on Tuesday contained errors in the compiled HTML help files and some of the PDF versions of the manuals. In particular, the index was missing from the CHM files, and the table of contents was missing from at least one of the manuals. I've since found the error in my setup, and have rebuilt the distribution. I uploaded it to CRAN

To Windows R users: The binary build of R that I uploaded on Tuesday contained errors in the compiled HTML help files and some of the PDF versions of the manuals. In particular, the index was missing from the CHM files, and the table of contents was missing from at least one of the manuals. I've since found the error in my setup, and have rebuilt the distribution. I uploaded it to CRAN

> version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 5.0 year 2002 month 04 day 29 language R OS Win98 I have problems to install some of the packages dowloaded from CRAN (whatever the

Hi, lme() users, Can some one tell me how to do this. I model Orthodont with the same G for random variables, but different R{i}'s for boys and girls, so that I can get sigma1_square_hat for boys and sigma2_square_hat for girls. The model is Y{i}=X{i}beta + Z{i}b + e{i} b ~ iid N(0,G) and e{i} ~ iid N(0,R{i}) i=1,2 orth.lme <- lme(distance ~ Sex * age, data=Orthodont, random=~age|Subject,

I met today a computer crash and our maintenance officer had to reinstall some components of the OS (MS Windows XP Pro) as well as the Internet browser (among other things). Now, I cannot install packages from a distant repository: > utils:::menuInstallPkgs() Error in .readRDS(pfile) : unknown input format > traceback() 5: .readRDS(pfile) 4: .packages(all.available = TRUE) 3:

Sorry if this is obvious, but my S skills aren't great and I haven't been able to find it documented anywhere. I want to write a new function for use with lme objects; the function will simply calculate an ICC (aka "rho") for each level of a mixed-effects model. What I need for this is pretty simple: (c(var1..varn, residual)) / sum(c(var1..varn, residual)) where var1..varn

Dear all, I have computed a digital terrain model from a set of points (x, y, z) using the function interp() in package akima. I want to predict flooded surfaces given target values of z. I can display the flooded surfaces with contour() or image(), but I don't know how to get the polygons delimiting the surfaces. Did anyone write a function for this purpose ? Best regards, Renaud --

I have a number of plots that I'm trying to do using the lattice package, unfortunately, they involve Posix values. A small sample of the data is as follows: Time TC.1 <Snipped> 1 2003-04-24 13:29:15 26.61 2 2003-04-24 13:29:30 26.48 3 2003-04-24 13:30:00 26.53 4 2003-04-24 13:30:30 27.85 <Snipped> where str(data) `data.frame': 415 obs. of

Dear all, platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status Patched major 1 minor 5.0 year 2002 month 05 day 15 language R Is there a way to include a graph in a help file (Rd file processed with make pkg-mypkg) ? Thanks in advance, Renaud -- Dr

Toda la razon!!! merge era todo! Saludos El mié., 20 mar. 2019 a las 10:57, Carlos Ortega (<cof en qualityexcellence.es>) escribió: > Hola Mauricio, > > No, creo que no es lo que dices.. > > Con merge, indicas por qué columna (pueden ser varias) quieres juntar los > dos dataframes y con los parámetros "all.x", "all.y" y "all" indicas si

Does anyone know how to extract residuals in lmer? Here's the error I get: > crop.lme=lmer(response~variety*irrigation*pesticide+(1|rep)+(1|rep: pesticide)+(1|rep:pesticide:irrigation), crop.data) > qqnorm(crop.lme) Error in qqnorm.default(crop.lme) : y is empty or has only NAs > resid(crop.lme) NULL Thanks! --Jake

Dear R-Helpers, Is there a way to draw shaded (filled) polygons in panel graphs produced by xyplot ? I made different trials (see below) with polygon() and grid.polygon() but polygons are not drawn (probably for the same reason that prevents the use of lines, points, etc. in xyplot panels). Thanks in advance, Renaud > Water id label longitude latitude 515 21 Zone inondable

Dear all, 1. How can I compute the intersecting area between 2 polygons ? 2. I have polygons with coordinates in decimal degrees (i.e. 13 deg 30 min = 13.5 decimal degrees). I want to compute their area and get the results in square meters or square kiometers. Can anyone give me a conversion coefficient or a pointer where I can find this information (sorry for this off topic question) ? Thanks

Hello, I am a beginner in R programming and recently heard about this mailing list. Currently, I am trapped into a simple problem for which I just can't find a solution. I have a huge dataset (~81,000 observations) that has been analyzed and the final result is in the form of 0 and 1(one column). I need to write a code to process this column in a little complicated way. These 81,000