similar to: Subsetting data in a loop

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 =

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,

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, 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 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 =

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 am using twoord.plot and my Y axis units on the left y overlap. I tried using cex.axis in my par command but that only adjusted the x units, not the y. cex.axis in twoord.plot did not help. How do I adjust Y units in the twoord.plot? example: twoord.plot (lx=myear, ly=z, rx=myear, ry=sta,xlim=c(1985,2010), xlab="Year",ylab="Individuals", rylab="# Stations") --

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

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

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 List, Here is some example data. myDat <- read.table(textConnection("group id 1 101 1 201 1 301 2 401 2 501 2 601 3 701 3 801 3 901"),header=TRUE) closeAllConnections() corr_mat <-read.table(textConnection("1 1 .5 0 0 0 0 0 0 0 2 .5 1 0 0 0 0 0 0 0 3 0 0 1.0 0 0 0 0 0 0 4 0 0 0 1 .5 .5 0 0 0 5 0 0 0 .5 1

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

Dear all, I have got two vectors coding for a stimulus presented in the current trial (mydat$Stimulus) and a prediction in the same trial (mydat$Prediciton), respectively. By applying an if-conditional I want to create a new vector that indicates if there is a match between both vectors in the same trial. That is, if the prediction equals the stimulus. When I pick out some trials randomly, I get

Hi Val, My fault - I assumed that the NA would be first in the result produced by "unique": mydat <- read.table(textConnection("Col1 Col2 col3 Z1 K1 K2 Z2 NA NA Z3 X1 NA Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE) val23<-unique(unlist(mydat[,c("Col2","col3")])) napos<-which(is.na(val23)) preval<-data.frame(Col1=val23[-napos],

Hello Dear R community,  This is my problem.  I have a data set (dataframe) called "mydat". It consist of 3 numerical variable.  They are Centrecode, FSUSN and Round. I want to create unique ID by combining these 3 variables. Follwing commands gives me what I need. mydat1 <- paste(mydat$Centrecode, mydat$FSUSN,mydat$Round,sep="") newds <- data.frame(mydat1)    For a

Dear List, I am trying to plot date vs. time, but am having problems getting my y-axis labels how I want them.? When left on its own R plots time at 6 hour intervals from 03:00 to 23:00.? I am wanting 6 hour intervals from 2:00 to 22:00.? I realize yaxp doesn't work in plot(), so I am trying to get it to work in par().? However, now I get the ticks where I want them but the time is output

Dear 'HTH' R friends I have a small dataframe as given below. I need to sort this database based on date in a decending order. I am not sure whether I have defined the date column in a proper format. mydat<-data.frame(date = (c("1/31/2010", "2/28/2010", "3/31/2010", "4/30/2010", "5/31/2010", "6/30/2010",

HI Jim and all, I want to put one more condition. Include col2 and col3 if they are not in col1. Here is the data mydat <- read.table(textConnection("Col1 Col2 col3 K2 X1 NA Z1 K1 K2 Z2 NA NA Z3 X1 NA Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE) The desired out put would be Col1 Col2 col3 1 X1 0 0 2 K1 0 0 3 Y1 0 0 4 W1 0 0 6 K2 X1