similar to: Data Manipulation

Dear All? When the user login P0P3 more than 10 times in 1 minute that the dovecot temporary suspension all of pop3 login about 5 minutes. How to disable the setting for dovecot. Mail Log: Apr 24 16:11:14 mww dovecot: pop3-login: Login: user=<scan>, method=PLAIN, rip=192.168.16.84, lip=192.168.16.159, mpid=8767, session=<5USPZMX3/QDAqBBU> Apr 24 16:11:14 mww dovecot:

Hi Everyone, I would like to do sequential subtractions within a group so that I know the time between separate observations for a group of individuals. My data: data <- structure(list(group = c("IND1", "IND1", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5", "IND6", "IND6"), date_obs =

Hello R-users, I've got a file with individuals as colums and the clusters where they occur in as rows. And I wanted a table which tells me how many times each individual occurs with another. I don't really know how such a table is called...it is not a frequency table....My eventual goal is to make Venn-diagrams from the occurence of my individuals. So I've this: cluster ind1 ind2

Hello R-users, I've got a file with individuals as colums and the clusters where they occur in as rows. And I wanted a similarity matrix which tells me how many times each individual occurs with another. My eventual goal is to make Venn-diagrams from the occurence of my individuals. So I've this: cluster ind1 ind2 ind3 etc. 1 0 1 2 2 3 0 1 3

Dear R users, I would like to accumulate objects generated from 'for' loop to a list or array. To illustrate the problem, arbitrary data set and script is shown below, x <- data.frame(a = c(rep("n",3),rep("y",2),rep("n",3),rep("y",2)), b = c(rep("y",2),rep("n",4),rep("y",3),"n"), c =

Hello R-users, I've got a huge table with about 20.00 rows and 50 columns. The table now has headers as Members1, Members2 etc. My data are 8 different individuals. And I've got a column with clusters. So each individual belongs to different clusters and can occurs multiple times within a cluster (that's the reason that there can be more than 8 members). I want a presence/ absence

Hello, I am a R beginner and hoping to obtain some hints or suggestions about using permutations to sort a data set I have. Here is an example dataset: Ind1 11 00 12 15 28 Ind2 21 33 22 67 52 Ind3 22 45 21 22 56 Ind4 11 25 74 77 42 Ind5 41 32 67 45 22 This will be read into a variable using read.table. What I want to do is permute these individuals and every

Hi R users, I really need help with subsetting data frames: I have a large database of medical records and I want to be able to match patterns from a list of search terms . I've used this simplified data frame in a previous example: db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1, 2, 1.3, 3), test2 = c(56L, 27L, 58L,

Hi all, i purchased a copy of the book Morphometrics with R by Springer. at the end of each chapter there are exercises to train what you just read and (hope) learned... so i have this problem: Define a hypothetical data frame containing five measurments normally distributed(size,head,pectoral,area,weight) for four individuals (named ind1, ind2, etc). ADD A COLUMN corresponding to the

Hi Everyone, I have the following problem: data <- structure(list(prochi = c("IND1", "IND1", "IND1", "IND2", "IND2", "IND2", "IND2", "IND3", "IND4", "IND5"), date_admission = structure(c(6468, 6470, 7063, 9981, 9983, 14186, 14372, 5129, 9767, 11168), class = "Date")), .Names =

Shown below is most of the FORTRAN subroutine named HCLUST. My question concerns the DO loop labeled as '10'. What happened to its CONTINUE statement? I will assume that after FLAG(I)=.TRUE. is executed that control returns to DO 10 I=1,N. Am I correct? Dave ---------------------------- C Initializations C DO 10 I=1,N C We do not initialize MEMBR in order to be able to

Hi everybody, just a quick question that drives me crazy: Is it possible to "join" 2 logical vectors ? i.e. x<-4 ind <- 1:19200 pin <- c(0, rep(400, 48) * (1:48)) ind1<-((pin[j] + 1) <= ind) & (ind <= pin[j + 2]) ind2<-((pin[j+x] + 1) <= ind) & (ind <= pin[j+x + 2]) ind2 and ind1 give the right TRUE index #but I would like something like that

summary() for a factor prints: ColName SNDK : 72 VXX : 36 MWW : 30 ACI : 28 FRO : 28 (Other):1801 it would have been much more useful if it additionally printed frequency stats as if by summary(aggregate(frame$ColName,by=list(frame$ColName),FUN=length)$x) -- Sam Steingold (http://sds.podval.org/) on CentOS release 5.3 (Final) http://jihadwatch.org

Hi all, I realise that the convention is to provide a working example of my problem but the data are of a sensitive nature so I'm not able to do that in this case. I need to query a database for multiple search terms: db <- structure(list(ind = c("ind1", "ind2", "ind3", "ind4"), test1 = c(1, 2, 1.3, 3), test2 = c(56L, 27L, 58L, 2L), test3 =

I need some help with sub-setting my data.  I am trying to divide a data frame into multiple data frames based on the year collected, and stored in a list with each new data frame labeled with "year X" where X is the year the data was collected.  When I run my current code I get nine error messages stating "In one_year[name] <- myear :  number of items to replace is not a

Hello list. Another 'puzzle' for which I don't have a clean solution. Say I have a multidimensional object, e.g.: Mm<-matrix(1:6, nrow=2, dimnames=list(c("a","b"), c("g","h","i"))) And on the other hand I have a list Ind<-list("b","g") This holds, for each dimension, an indexer for that dimension. Now I would

Hi, I am facing a hierarchically structured dataset, and I am not sure of the right way to analyses it with cforest, if their is one. - - BACKGROUND & PROBLEM We are analyzing the behavior of some social birds facing different temperature conditions. The behaviors of the birds were recorder during many sessions of 2 hours. Conditional RF (cforest) are quite useful for this analysis

Hi, I'm trying to obtain confidence intervals for auto and cross correlation estimates. I've adapted code made available by Stock and Watson that uses the Bartlett Kernel and the delta method. In R it runs really, really slow because of the loops it uses and I have 9 series that I'd like to examine (81 total combinations). It was easy enough to replace one of the while loops with a

Friends Briefly... In the documentation for lda in MASS it describes the value 'scaling' as 'a matrix which transforms observations into discriminint functions...'. How? Verbosely... I have a matrix of data. 9 independent variables and describing 3-classes. About 100 observations in total. A 10x100 matrix of data. I am trying to generate two discriminant functions and i

Hello, I am trying to plot time-series data with certain weeks highlighted using symbols. require(ggplot2) #plotting time series data timescale <- seq(as.Date("01/01/09","%m/%d/%y"), length.out=12, by=7) data.all <- data.frame( id = c(rep('111',12),rep('222',12),rep('333',12)), week=c(timescale,timescale,timescale),