similar to: as.dist with diagonal unequal zero

Hello, (Power Book G4, Mac OS X, R 2.5.0) I would like to repeat the function range for 85 Vectors (V1-V85). I tried with this code: i<-0 > repeat { + i<-i+1 + if (i<85) next + range (Vi, na.rm = TRUE) + if (i==85) break + } I presume that the Vi is wrong, because in this syntax i is not known as a variable. But I don´t know how to say that it is a variable here. Would be nice if

Dear all, (Mac OS X 10.4.11, R 2.6.0) I have a quantitative dataset with a lot of Na?s in it. So many, that it is not possible to delete all rows with NA?s and also not possible, to delete all variables with NA?s. Is there a function for a principal component analysis, that can deal with so many NA?s. Thanks in advance Birgit Birgit Lemcke Institut f?r Systematische Botanik

Hello! I am R beginner and I have a question obout a simple matching. I have to datasets that i read in with: MalVar29_37<-read.table("MalVar29_37.csv", sep = ";") FemVar29_37<-read.table("FemVar29_37.csv", sep = ";") They look like this and show binary variables: V1 V2 V3 V4 V5 V6 V7 V8 V9 1 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 1

Hello all you helpful people out there! I am stil R Beginner using R 2.5.1 on a Apple Power Book G4 with Mac OS X 10.4.10 . Perhaps you haven?t understood my question in the mail yesterday. So I will try to describe my problem in a different way You see the tables. I would like to test the variables between the tables. But for some variables in some species , I have more than 1

Hello Members, I try to convert variables in a data.frame (bract.awn) in the class ordered. str(bract.awn) 'data.frame': 348 obs. of 2 variables: $ bracts.length.relative.to.flower...............Min: Factor w/ 4 levels "1","2","3","4": 2 3 3 3 3 2 1 4 3 2 ... $ bract.awn.relative.to.body.................Max : Factor w/ 4 levels

R version 2.6.2 PowerBook G4 Hello R User, I try to perform an ANCOVA using the glm function. I have a dataset with continuous and categorical data (explanatory variables) and my response variable is also binary categorical. Fehler: NA/NaN/Inf in externem Funktionsaufruf (arg 4) Zus?tzlich: Warning messages: 1: In Ops.factor(y, mu) : - nicht sinnvoll f?r Faktoren (makes no sense for

When I try to load the DCluster package I get the following error message (R 2.5.1; PowerBook G4; Mac OS X 10.4.10) (Load needed package) Lade nötiges Paket: spdep (error: package spdep could not been loaded) Fehler: Paket 'spdep' konnte nicht geladen werden (additional warning message) Zusätzlich: Warning message: (There is no package spdep in:.....) es gibt kein Paket 'spdep'

Hello R users, I am a newby using R 2.5.0 on a Apple Power Book G4 with Mac OS X 10.4.10. Sorry that I ask again such stupid questions, but I haven´t found how to label the points created with plot3d (rgl). Hope somebody can help me. Thanks in advance. Birgit Birgit Lemcke Institut für Systematische Botanik Zollikerstrasse 107 CH-8008 Zürich Switzerland Ph: +41 (0)44 634 8351

Hello R-user community! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I did the following : pdf("InLnegthMaxHomogeneity.pdf") boxplot(inflorescence_length_Max~Sex, main="Bartletts Homogeneity for inflorescence length",data=FemMal_Sex) Homo<-bartlett.test(FemMal_Sex$inflorescence_length_Max,FemMal_Sex$Sex) text( 2, 500,

Hello members of the mailinglist! I am running R 2.6.0 GUI 1.21 (4815) (4815) on a PPC with Mac OS X 10.4. I just tried to use the R commander. I followed these instructions: 4) Start R (e.g. double-click the R icon in /Applications). 5) Start X11 (e.g. click the X11 button on the R Console or double- click the X11 icon in /Applications/Utilities). 6) Close the X11 terminal (optional). 7) Type

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I try to find the most important variables to divide my dataset as given in a categorical variable using randomForest. Is randomForest() able to deal with count data? Or is there no difference because only the ranks are used in the trees? Thanks in advance Birgit Birgit Lemcke Institut f?r

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I tried rfImpute (randomForest) and as far as I understood should it replace NA`s using a proximity matrix: > set.seed(100000) > Subset5Imputed<-rfImpute(Sex~., data=Subset5) ntree OOB 1 2 300: 11.78% 12.36% 11.21% ntree OOB 1 2 300: 12.07% 12.64%

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I try to find the most important variables to divide my dataset as given in a categorical variable. code: Test.rf4<-randomForest(Sex~.,na.action=na.roughfix, data=Subset4, importance=TRUE, proximity=TRUE, ntree=10000, do.trace=1000, keep.forest=FALSE) My dataset contains also ordered

Hello R users, I am a newby using R 2.5.0 on a Apple Power Book G4 with Mac OS X 10.4.10. when I use the write.table function, I always get the output in Unix linebreaks that I have to change to McIntosh linebreaks to be able to Import the data in Excel 2004 for Mac. Is there a possibility to do this automatically in R and respectively in the write.table function? Thanks in advance.

Hello I need a tiny peace of help. (PPC Mac Os X 10.4.10; R 2.5.1) I have a data.frame with numeric and factor variables. I would like to convert same of the factors to ordered factors. I tried with: attach (table) as.ordered (V3) but this gives me only the V3 Vector as ordred back but in the data.frame (str(Table)) it is still not ordered. How can I do that? Thanks for your help. I am

Hello R user and helper! I would like to get a 3d plot with coloured points. I did that: colors<-c(rep("2",7), rep("3",12), rep("4", 24), rep("5", 13), rep ("6", 8), rep("7", 51), rep("8", 1), rep("9", 15), rep("10", 53), rep ("11",3), rep("12",3), rep("13", 8),

Hello R-user community! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) Presently I try to run the function metaMDS (vegan) using an existing dissimilarity-matrix. As I would like to start with this matrix I thought I could just give the matrix using the x= -argument Test<-metaMDS(x=Dist.Gower) Fehler in inherits(comm, "dist") :

Hello Stephen, I am happy that you help me. Thanks a million. It is a good feeling that you confirm my assumption that dsvdis is not able to deal with missing data, because it says me that I am not completely incapable. Okay now I have the problem what to do. I used this function ´cause there is an option to weight columns differently what I haven´t found in other functions. But now I

Hello you all from the R Help mailing list! I am working on a PowerBook with Mac Os X and use R 2.5.0. I used the distance function from the analogue package to perform a similarity analysis using the Gowers Index and weighted Variables. My variables are bivariate data and measurements as well as interval data transformed into minimum and maximum variables. I used this Code:

Hello all! I am performingsome clustering analysis on microarray data using agnes{cluster} and I have created my own dissimilarity matrix according to a distance measure different from "euclidean" or "manhattan" etc. My question is, if I choose for example method="complete", how are the distances between the elements calculated? Are they taken form the dissimilarity