similar to: matching each row

Hello all! I applied http://www.ssi.bg/~ja/routes-2.6.8-10.diff patch to kernel 2.6.8.1 and it works fine, or almost fine. It does the load balancing well, but when one link is dropped it continues to try it. At the end of http://www.ssi.bg/~ja/nano.txt it is said to ping gateway 1 and gateway 2, for the kernel to know if that route is working, but since my linux is connected to the links

I would like to merge two dataframes, but i have a condition that needs to used for the merge as well. the rows (observations) in each dataframe are identified by each person's ID and by the date of the observation. Basically I would like it to be merged based on both ID (exact match) and date (a condition where one dataframe's date must be after the other dataframe's date).

Dear kind R helpers, I have a vector of runway names in rwy ("31R", "31L",... the number is user selectable) arrgnd is a data frame with data for all flights and all runways, with a Runway column. I am trying to subset arrgnd into a dat frame for each selected runway, and then combine them back together using the following code: for (j in 1:nr) { # nr = number of

Hi, I'm new to R and would like to know, how one can populate the list with array data. I'm reading a tab separated table in R. The data in the table looks something like this. #Table Data Comp    A    B    C Extracellular    103    268    535759 Nucleus    45603    47783    442744 #R code myData <- read.table("table.data",                 header=T,                

Hi, ?In the example you provided, it looks like the dates in Date2 happens first.? So, I changed it a bit.? DataA<- read.table(text=" ID,Status,Date1,Date2 ??? ??? ?????? 1,A,3-Feb-01,15-May-01 ??? ??? 1,B,15-May-01,16-May-01 ??? ??? 1,A,16-May-01,3-Sep-01 ??? ??? ??? ??? ??? 1,B,3-Sep-01,13-Sep-01 ??? ??? ??? ??? ??? 1,C,13-Sep-01,26-Feb-04 ??? ??? ??? ??? ???

Greetings everyone, I'm trying to add a specific table or a specific number of rows (e.g.44) to a table with no success. This is my basic table > head(dataA) year plot spp prop.B DCA1 DCA2 DCA3 DCA4 1 2000 1 a1 0.031079 -0.0776 -0.0009 0.0259 -0.0457 2 2000 1 a2 0.968921 -0.0448 0.1479 -0.1343 0.1670 3 2000 2 a1 0.029218

Hello all, I have a data frame dataa: newdate newstate newid newbalance newaccounts 1 31DEC2001 AR 1 1170 61 2 31DEC2001 VA 2 4565 54 3 31DEC2001 WA 3 2726 35 4 31DEC2001 AR 3 2700 35 The following gives me the balance of state AR:

i am working with two sets of likert scale type (4 distinct values) data: dataA <- rep(1:4, c(3,2,2,4)) dataB <- rep(1:4, c(5,4,3,2)) i can now (bar)plot both of these separately and compare the distributions. plot(table(dataA), type='h') plot(table(dataB), type='h') is there a way to plot both of them in one plot, so that the bars for value "1" (dataA: 3,

Hi, I got following error in write.table() : > write.table(dataa, file="c:/data1.csv", row.names=F, col.names=T, sep=",") Error in file(file, ifelse(append, "a", "w")) : cannot open the connection In addition: Warning message: In file(file, ifelse(append, "a", "w")) : cannot open file 'c:/data1.csv': Permission denied

Hi, I am trying to use glm to fit my data, wondering if there is a easy way to fit a glm without typing all the explanatory variable names. For example, if I have 100 explanatory variables x1, x2, ..., x100 and response variable is y, I don't want to do something like glm1 <- glm(y ~ x1 + x2 + ... + x100, family = gaussian, data = dataA) since it would be a lot of typing. Many thanks,

Hi, I want to plot this matrix (I attach the data), it is suposed that each column is a different time series. If I do g<-read.table("dataADF.txt", header=F) and plot(g[,1],type="l") it plots the first column plot if I want in a unique graph each colums of dataA, all in one. How should I proceed?There is a direct pre-defined code? And If I wanted a plot by each

Hi, is there a simpler way to count the number of elements in a vector that are not NA than this: countN <- function (v) { return (Reduce(function (x, y) x + y, ifelse(is.na(v), 0, 1))) } ? - Godmar

Hi R-Help! I am trying to use R2WinBUGS but I get the following error message in WinBUGS (and there must be something wrong with my R statement as I tried it directly in WinBUGS and it worked): display(log) check(C:/Documents and Settings/Daikon/Roche/pop_model.txt) model is syntactically correct data(C:/Documents and Settings/Daikon/Roche/data.txt) expected key word structure compile(7) ...(and

Dear all, I'm a relative new user of R and I have a problem with merging a collection of matrices. All matrices in this collection have the same dimension (532 rows and 532 columns), but can differ in the row and columns names. I'd like to merge these matrices in such a way that the resulting matrix only contains unique row- and column-names and that in case of a match between the row or

Dear R People: I am looking at the ctime attribute of two different files. It contains the year, month, day, time of creation and time zone. Is there a way to determine the difference between the ctimes of two files, please? I looked in the chron package and nothing seemed to work. Thanks in advance, Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and

Simple question: Why doesn't the following work? Or what 'R' rule am I missing? tclass <- "Testing 1 2 3" if(tclass == "Testing 1 2 3") { cat("Testing", tclass, "\n") } else { cat(tclass, "\n") } I get an error 'else' is unexpected. Thank you. Kevin

Dear R People: I have several vectors, sa1, sa2,...sa27 of varying lengths. I want to produce one vector xener[1:27] which has the minimum of each sa[i]. I'm trying to set up a loop and use the assign statement, but here are my results: > for(i in 1:27) { + xener[i] <- min(assign(paste("sa",i,sep=""))) + } Error in assign(paste("sa", i, sep =

I've created a short program to print a table of learning curve factors. However, I cannot figure out how to format the table to: 1) Get rid of the [1]s in the first column and replace it with the values of N. 2) Line up the first row with the factors (decimal fractions). Thanks for any help. The complete program and output is as follows: > Lc<-seq(0.70,0.95,0.05) #Specify learning

I'm looking for something along the lines of which ( table ( x ) == max ( table ( x ) ) ) to find the most common level of one factor by several other factors. For instance, I've got > X <- data.frame ( + x = factor ( sample ( c ( "A" , "B" , "C" , "D" ) , 20 , r = T ) ) + , z1 = factor ( sample ( c ( "Before" ,

Dear all, I have about 30,000 matrix (512x512), with values from 1 to N. Each value on a matrix represent a habitat patch on my matrix (i.e. my landscape). Non-habitat are stored as ZERO. No I need to change each 1-to-N values for the same random number. Just supose my matrix is: mymat<-matrix(c(1,1,1,0,0,0,0,0,0,0,0, 0,0,0,0,2,2,2,0,0,0,0, 0,0,0,0,2,2,2,0,0,0,0, 3,3,0,0,0,0,0,0,0,4,4,