similar to: boxplot with text and symbols on x

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

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

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-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 R-Cracks, I am using R 2.6.1 on a PowerBook G4. I would like to perform a discriminant function analysis. I found lda in MASS but as far as I understood, is it only working with explanatory variables of the class factor. My dataset contains variables of the classes factor and numeric. Is there another function that is able to handle this? Thank you all in advance. Greetings Birgit

> chromosomes id refseq name length 1 0 NC_000001.9 Homo sapiens chromosome 1 247249719 2 1 NC_000002.10 Homo sapiens chromosome 2 242951149 3 2 NC_000003.10 Homo sapiens chromosome 3 199501827 4 3 NC_000004.10 Homo sapiens chromosome 4 191273063 5 4 NC_000005.8 Homo sapiens chromosome 5 180857866 6 5 NC_000006.10 Homo sapiens chromosome 6

Through converting a miRNAs file from FASTA to character format I get a vector which looks like the following: > nml [1] "hsa-let-7a MIMAT0000062 Homo sapiens let-7a" [2] "hsa-let-7b MIMAT0000063 Homo sapiens let-7b" [3] "hsa-let-7c MIMAT0000064 Homo sapiens let-7c" [4] "hsa-let-7d MIMAT0000065 Homo sapiens

I have the following vector of strings (shown only the first 3 elements) > desc[1:3] [1] "hsa-let-7a MIMAT0000062 Homo sapiens let-7a" [2] "hsa-let-7a* MIMAT0004481 Homo sapiens let-7a*" [3] "hsa-let-7a-2* MIMAT0010195 Homo sapiens let-7a-2*" > is.vector(desc) [1] TRUE > A <- unlist(strsplit(desc[1:3], " ")) > A [1]

Hi all, I have samba server 2.2.8a to act as a PDC on a mixed WinXP/Win2k/WinNT network. I joined all my workstations to the domain with no problem... And users can login into the domain and access their folders/printers, BUT!!! Every now and then they cannot log in getting error message that domain controller cannot be found.... I'm trying to track the problem down :-) When I went thru

Dear All, I need to fetch GO ontologies for Homo sapiens with their mappings to corresponding Uniprot identifiers. I would be using this information to compare result from a clustering algorithm with existing protein complexes. This would be a test to check how the clustering algorithm accurately captures GO terms with respect to the known protein complexes. Can anyone suggest a simple workflow

Hi ALL, I have very simple question regarding pattern matching. Could anyone tell me how to I can use R to retrieve string pattern from text file. for example my file contain following information SpeciesCommon=(Human);SpeciesScientific=(Homo sapiens);ReactiveCentres=(N,C,C,C,+ H,O,C,C,C,C,O,H);BondInvolved=(C-H);EzCatDBID=(S00343);BondFormed=(O-H,O-H);Bond+

Hi R-users, I have a data frame like this: photographer category picture points Hannu kalat limamikko 1 Teemu kalat verkkovaja 3 Hate kalat munat puoliks padassa 6 Hannu kalat isokala 8 Teemu kasvit, sienet ja muut eliöt harppi 2 Hate kasvit, sienet ja muut eliöt pyynikki 2 Petteri kasvit, sienet ja muut eliöt harmaaleppä 5 Lauri kasvit, sienet ja muut eliöt lumipuu 9 Teemu linnut kainostelua 1

I deal with a huge amount of Biology data stored in different databases. The databases belongig to Bioconductor organization can be accessed through Bioconductor packages. Unluckily some useful data is stored in databases like, for instance, miRDB, miRecords, etc ... which offer just an interactive HTML interface. See for instance http://mirdb.org/cgi-bin/search.cgi,

Hi, Am am plotting aggregated frequency data (extracted from an RDBMS) relating to DNA sequence features for each of the human chromosomes as described in the table chromosomes below (the frequency data is in a table 'hits' that has a value (or not) for each of a set of bins across each chromosome). I would like to mark the extent of the chromosome (according to the length value in

Hi R-users, I have a dataset like this: kuvaaja kuva yhteispisteet Hannu isokala 8 Hannu kaapin alta löytynyt 2 Hannu kaapin alta löytynyt 2 8 Hannu limamikko 1 Hannu maukasta marmeladia 8 Hannu skrinnareita 4 Hate madekoukkujen suojelupyhimys 3 Hate matka aikaan joka ei enää palaa 3 Hate munat puoliks padassa 6 Hate pyynikki 2 Hate vailla armeerausta 2

I have 3 variables relating to the successful introductions of species to 95 different areas: introduction frequency; number of successes pre 1906; number of successes post 1906 The data are not normal, nor homo-skedatic, so I am using non-parametric statistics. I have calculated Kendall's tau between both introduction & successes pre 1906 (tau=0.3903) and introduction & successes

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

Hello and sorry that I still haven?t found a solution for my problem. I need to extract the lower and upper triangle from a square matrix including the diagonal. This diagonal is not zero in that special case. I tried with as.dist w<-as.dist(w, diag = TRUE) > w 1 2 3 4 5 1 0 2 2 0 3 3 8 0 4 4 9 14 0 5 5 10 15 20 0 but found no way to keep the diagonal that is in the

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