similar to: problem with read.table

Dear all, I have a data matrix with 7 independent variables, and each of them is a trinary variable ( - 1, 0 , 1), and I would like to know what kinds of R package or method I should use to perform the clustering. Thanks for any comment or suggestion. -- Lam C. Tsoi (Alex) Medical University of South Carolina [[alternative HTML version deleted]]

Hi all, I've setup Samba 3.0.5 + OpenLDAP (ldapsam) and everything work correctly. However, while my Windows 200x workstation join the domain, I need to join it twice. Here is what I do: 1. Go to Computer properties -> Computer Name -> Change 2. Enter the new domain name 3. Enter Administrator and password then, it will return me that the user name cannot be found. I've checked

Hello R-help group, I have a question about merging lists. I have two lists: Genes list (hSgenes) name chr strand start end transStart transEnd symbol description feature ENSG00000223972 1 1 11874 14412 11874 14412 DEAD/H box polypeptide 11 like 1DEAD/H box polypeptide 11 like 3DEAD/H box polypeptide 11 like 9 ;;

Hi All, I would like to input a .txt file by using read.table() the file data.txt: Name ID IMAGE:1000031 suid=115221 IMAGE:1000208 51265 IMAGE:1000334 64770 IMAGE:1000365 suid=99969 IMAGE:1000500 55421 IMAGE:1000875 64770 IMAGE:1000892 399655 IMAGE:1000942 suid=112379 IMAGE:1007141 5001 IMAGE:1007150 55 IMAGE:1007164 suid=117508 IMAGE:1007167 suid=102504

// ///Clinical Information Technology Research Assistant (102792) We are looking for a Clinical Information Technology Research Assistant to work on the Oxford component of the EURECA FP7 project (Enabling information re-Use by linking clinical REsearch and CAre). The post-holder will be in the Oxford component of the EURECA project and will focus on achieving the deliverable of the project

I am using pyramid.plot() from the plotrix package. I have something like this ############################################ xy.pop<-dados$masfr xx.pop<-dados$femfr #agelabels<-dados$femlab xycol<-color.gradient(c(0,0,0.5,1),c(0,0,0.5,1),c(1,1,0.5,1),11) xxcol<-color.gradient(c(1,1,0.5,1),c(0.5,0.5,0.5,1),c(0.5,0.5,0.5,1),11) xylab<-dados$maslab xxlab<-dados$femlab

// ///Clinical Information Technology Research Assistant (102792) We are looking for a Clinical Information Technology Research Assistant to work on the Oxford component of the EURECA FP7 project (Enabling information re-Use by linking clinical REsearch and CAre) http://eurecaproject.eu/partners. The post-holder will be in the Oxford component of the EURECA project and will focus on

Dear all, I have a character string object: > chara [1] "The name of first slot" and a list object: > class( try1) [1] "list" what I want to do is to use the chara as a slot's name of "try1". Of course I could do it like: > try1$"The name of first slot" <- matrix("", 3, 4) to create a slot of 3x4 matrix with the name

Works fine for me. What do you object to in the following? Calling the above df "d", > dm <- as.matrix(d) > dm Sub_Pathways BMI_beta SAT_beta VAT_beta 1 "Alanine_and_Aspartate" " 0.23820" "-0.02409" " 0.94180" 2 "Alanine_and_Aspartate" "-0.31300" "-1.97510" "-2.22040" 3

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")

Dear all; Thanks. Here are the dput results as Duncan suggested. Regards, Greg structure(list(Sub_Pathways = structure(c(3L, 3L, 3L, 3L, 3L), .Label = c("Acetylated_Peptides", "Advanced_Glycation_End-product", "Alanine_and_Aspartate", "Aminosugar", "Ascorbate_and_Aldarate", "Carnitine", "Ceramides", "Creatine",

Hi Peter, You didn't give a very specific example, but it seems to me that what you wish to do is not really complicated. I suppose you have created a table of sequences vs. say hyprophobicity, charge, etc..., something like... seq hydroph arom b0001 0.104762 0.000000 b0002 0.035122 0.065854 b0003 0.024193 0.070968 b0004 -0.096729 0.084112 b0005 -0.973469 0.091837 b0006

Hi, I have the following data file to be parsed and captured as a data frame: __DATA__ #GDS_ID GENE_NAME GENE_DESCRIPTION GENE_FUNCTION 1007_s_at | DDR1 | discoidin domain receptor tyrosine kinase 1 | protein-coding 1053_at | RFC2 | replication factor C (activator 1) 2, 40kDa | protein-coding 117_at | HSPA6 | heat shock 70kDa protein 6 (HSP70B') | protein-coding __END__ In particular it is

Hi, I have the following data frame: > print(mydatframe) __DATAFRAME__ V1 V2 V3 1 1007_s_at DDR1 discoidin domain receptor tyrosine kinase 1 2 1053_at RFC2 replication factor C (activator 1) 2, 40kDa 3 117_at HSPA6 heat shock 70kDa protein 6 (HSP70B') __END__ Is there a way to create a hash with V2 as Key and V3 as its value? - Gundala Viswanath Jakarta - Indonesia

On 19/09/2017 9:47 AM, greg holly wrote: > Hi all; > > I have data at 734*22 dimensions with rows and columns names are > non-numeric.When I convert this data into matrix then all values show up > with quotes. Then when I use > x1= noquotes(x) to remove the quotes from the matrix then non-numeric row > names remain all other values in matrix disappear. > > Your help is

Hi all; I have data at 734*22 dimensions with rows and columns names are non-numeric.When I convert this data into matrix then all values show up with quotes. Then when I use x1= noquotes(x) to remove the quotes from the matrix then non-numeric row names remain all other values in matrix disappear. Your help is greatly appreciated. Greg [[alternative HTML version deleted]]