similar to: Label rows of table by factor level for groups of factors

Dear list, When using as.POSIXlt with times measured down to microseconds the default format.POSIXlt seems to cause some possibly undesirable behaviour: According to the code in format.POSIXlt the maximum accuracy of printing fractional seconds is 1 microsecond, but if I do; options( digits.secs = 6 ) as.POSIXlt( 1.000002 , tz="", origin="1970-01-01") as.POSIXlt( 1.999998 ,

Hello, I would appreciate if someone could help me resolve the following: 1. df1[!is.na( X1 | X2 | X3 | X4 | X5),][,1:5] # This does not work 2. Is these message harmful? The following object(s) are masked from 'df1 (position 3)': X1, X2, X3, X4, X5 Thanks, Pradip Muhuri #Reproducible Example set.seed(5) df1<-data.frame(matrix(sample(c(1:10,NA),100,replace=TRUE),ncol=5))

Dear all, mydata<-data.frame(x1=c(1,4,6),x2=c(3,1,2),x3=c(2,1,3)) cor(mydata) x1 x2 x3 x1 1.0000000 -0.5960396 0.3973597 x2 -0.5960396 1.0000000 0.5000000 x3 0.3973597 0.5000000 1.0000000 I wonder if it is possible to fill only lower triangle of this correlation matrix? Using 'dist' doesn't seem to be useful as it doesnt allow to convert this table

I have a loop that regularly checks for new data to analyse in my database. In order to facilitate this, the database table has a timestamp column with the time that the data was inserted into the database. Something like this: while (....) { load(timetoken.Rdata) df <- sqlQuery(con, paste("SELECT * FROM tabledf WHERE timestamp > ", timetoken, sep = ""))

I would like to randomly shuffle a distance object, such as the one created by ade4{dist.binary} below. My first attempt, using sample(jc.dist) creates a shuffled vector, losing the lower triangular structure of the distance object. How can I Ishuffle the lower triangular part of a distance matrix without losing the structure? Thanks. --Dale x1 <- c(rep(0,4),1) x2 <- c(rep(0,2),rep(1,3))

Hello, ??? I'm trying to write the sorted data in a file of a data.frame, My question and my problem is that when I record in file adds a new column row.name, which apparently is the original position in the file. ??? I wanted to write to the file without this column x<-data.frame(name="x1",Time=20) x<-rbind(x,data.frame(name="x2",Time=25))

Hi I have column name as given below If the variable is in log(X1 + 1) pattern it should be removed and i need only X1 Input log(x1 + 1) x2 log(X3 +1) Expected Output X1 X2 X3 Please help me -- View this message in context: http://r.789695.n4.nabble.com/help-in-removal-of-fixed-pattern-tp4152524p4152524.html Sent from the R help mailing list archive at Nabble.com.

Dear all, I have a data frame in which the columns need to be ordered. The first column X is at the right position, but the remaining columns X1-Xn should be ordered like this: X1, X2, X3 etc instead of like below. > colnames(pos1) [1] "X" "X1" "X10" "X11" "X12" "X13" "X14" "X15" "X16"

I am writing to get a better handle on a warning I am getting from a coxph analysis I am doing. I am analysing age of onset of dementia *after* the onset of parkinson disease. My data looks like: age.park age.dem age.death censor x1 x2 x3 x4 1 76 87 88 0 16 33 E3 E3 2 75 84 84 0 33 36 E3 E3 3 77 81 81 1 NA NA

Hi I want to generate 4 random number which sum up to 100 always Please help ----- Thanks in Advance Arun -- View this message in context: http://r.789695.n4.nabble.com/runif-with-condition-tp4278704p4278704.html Sent from the R help mailing list archive at Nabble.com.

Hello, I have a big data frame where consecutive time dates and corresponding observed values for each subject (ID) are on a line. I want to compute the linear slope for each subject. I would like to use apply but I do not know how to express the corresponding function. An example using a loop follows # # create dummy data set There are missing values a <- c(1,2,3,4, 1,1,1,1, 2,2,3,3,

Hi I am an engineer and am running the package mgcv and specifically the command gamm (generalized additive mixed modelling), with random effects. i have a few queries: 1. When I run the command with 1000/2000 observations, it runs ok. However, I would like to see the results as in vis.gam command in the same package, with the 3-d visuals. It appears no such option is available for gamm in the

Dear forumites As a newbie I try to figure out whether R can do a certain job quicker than other programs and it seems so, but I don't find a solution to a seemingly simple problem: I have built a matrix of distance with as.matrix(dist()) with several hundred rows and columns 1 2 3 4 1 0 1.3 1.6 2.1 2 1.3 0

Hi, This might seem like a simple question but at the moment I am stuck for ideas. The columns of my matrix in which some data is stored are of this form: X1 Y1 X2 Y2 X3 Y3 ... Xn Yn with n~100. I would like to look at just the X values (i.e. odd column numbers). Is there an easy way to loop round extracting only these columns? Any help would be appreciated.

Dear R user: I have got the following problem: I have imported two data sets into R: one set includes price information, another one includes volume information. but I noticed the wrong data order problem in the product name, for instance, in one data set, "GALAXY ACE S 5830" in another one, it is "S 5830 GALAXY ACE" both represent same product. how do i map two name

Dear list, I have problem that I cannot solve and would like to ask your opinion. I tried to ask a few days ago already but got no answer and all my attempts to solve it by myself since then failed. Sorry for repeated posting! Here the problem broken down a bit. My problem basically is, that I want to use the elements of a character vector as names for objects and by recalling only the

Dear R-experts Execuse me for an easy question, but I need help, sorry for that. >From days I have been working with a large dataset, where operations are needed within a component of dataset. Here is my question: I have big dataset where x1:.....x1000 or so. What I need to do is to work on 4 consequite variables to calculate a statistics and output. So far so good. There are more vector

Dear All, I have a function: gen <- function(m){for(i in 1:m){assign(paste("x",i, sep=""), (7*get(paste("x",i-1,sep="")))%%13); print(get(paste("x", i, sep="")))}} my question is, I do gen(20), then the function prints out 20 values, however when I do objects(), I can't see x1,x2,x3,....,x20 as objects. Why? Are they local

I'm trying to copy the results of a dataframe to another within a cycle for but I am not able to implement the rbind, because give th d<-Null df<-NULL for(r in 2: nrow(x)) { val_user<-x.name[[r]] pos<-x.pos[[r]] -4 age <-x.age[[r]] d<-data.frame(val_user,pos,) print(d) } df<-rbind(df,d) } someone can help me solve this Thanks

Hello all, Probably my concepts about the data.frame and matrix and array in R are not clear, I need some clarification to help me understand them better. >M <- read.table("test1.csv",sep=",",row.names=NULL,header=T) gives me: M as M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 1 9 11 14 15 18 20 20 20 20 20 2 3 4 8 9 11 12 14 15 15 15 3 4 5 8 8 9 9 9 9 9 9 4 4