similar to: Unique observations

Hello Folks, I have 5 columns for thousands of tree records that record whether that tree was alive or dead. I want to recode the columns such that the cell reads "found" when a live tree is first observed, "alive" for when a tree is found alive and is not just found, and "mort" when it was previously alive but is now dead. Given the following: > tree_live

This is a call for comments, regarding what you do expect when copying multible source tree roots leading to the same directory root, using rsync. This problem may be discussed now, because in versions before rsync-2.5.6, the algorithm for removing the so called "duplicated files" was broken. That's why we expect nobody used it anyway in earlier versions - but who knows.. Example:

Hello, R-users,   I have a datafile with 37313 records and each record has 5 different measurements on the same variables. The format looks like this: treeID, VIG0, VIG1, VIG2, VIG3, VIG4 I was trying to convert the one row record to 5 rows record with format like this (treeID, MEASUREMENT, VIGOR). My code like this:   treeMeas<-matrix(data=0,nrow=(length(tree1$indivTree)*5), ncol=3)

Dear R-help subscribers, I have a quite stupid question about using lapply. I have the following function: create.gradient <- function(i){ colorgrad01<-color.scale(seq(0,1,by=0.01), extremes=c("red","blue")) tree1$edge[i,1] -> x tree1$edge[i,2] -> y print(x) print(y) all2[x] -> z all2[y] -> z2 round(z, digits = 2) -> z round(z2, digits = 2) -> z2

Hello R-users, I apologize for my question but I'm a newbie. I want to read a file which columns separator is "\t". At the end of each row there is a "\n" to go to the following line. The three first lines are remarks lines and the fourth contains columns titles ( variables names, ids, dates, calculated values, observed values...) . I do: read.table("myFile",

Hi, I am somewhat new to R so this question may be foolish, but is it possible to add decision trees into a list, array or vector in R? I am trying to build a collection (ensemble) of decision trees. Every time a new instance arrive I need to get the prediction of each decision tree. I have tried to add a decision tree into a variable but without luck. Is a special package needed perhaps? This

Hey, A basic question. Is there anyone that knows a good text on using the R packages map and maptools for R? I have read the references for both but having trouble getting started. What I want to do is to load a map (.shp file) and display statistics on this maps using colours. Thanks in advance. Kind regards, John

Dear All, I want to create a table for several variables. As example. I have a dataframe with following data: Gender transport driving 1 0 1 0 1 0 1 0 1 Now I want to create a table in the following form: Gender

So I have 2 sets of data - a training data set and a test data set. I've been doing the analysis on the training data set and then using predict and feeding the test data through that. There are 114 rows in the training data and 117 in the test data and 1024 columns in both. It's actually the same set of data split into two. The rows are made of 5 different numbers. They do represent

If visit_guest() fails, then it returns a null pointer; later on, free_tree() is called unconditionally on the variables, thus dereferencing null pointers. Thus guard the free_tree() invocations. --- diff/diff.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/diff/diff.c b/diff/diff.c index 5851a1c9c..1f1ab6933 100644 --- a/diff/diff.c +++ b/diff/diff.c @@ -389,8

Hello, The following code does'nt work for me. The last command reports an error. I have created a consensus tree using the consensus comand from phylo but cannot manipulate the phylo object afterwards to create a dendogram , by transforming the phylo object into a hclust object and then into a dendogram ?? Thanks for any help library(ade4) library(cluster) library(stats) library(ape)

Hi All, There is something I don't quite understand about R memory management. I have the following function function (AdGroupId) { print(memory.size()) channel <- odbcConnect("RDsn", uid = "xxxx", case = "tolower", pwd = "xxxxxx") Tree1 <- sqlQuery(channel, "exec SelectAdgroups 111120,0", as.is = c(FALSE, FALSE,

## Question1: How to define IV with interaction alone, without main effects? ## Question2: Should Type III ANOVA in package car be independent of the factor level order? ## data from http://www.otago.ac.nz/sas/stat/chap30/sect52.htm drug <- c(t(t(rep(1,3)))%*%t(1:4)); disease <- c(t(t(1:3)) %*% t(rep(1,4))); y <- t(matrix(c( 42 ,44 ,36 ,13 ,19 ,22 ,33 ,NA ,26 ,NA ,33 ,21 ,31 ,-3 ,NA

Dear R experts, Suppose I have an data frame likes this: > example <- data.frame(age=c(1,2,3, 4,5,6), height=c(100,110,120,130,140,150), disease=c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE)) > example age height disease 1 1 100 TRUE 2 2 110 TRUE 3 3 120 TRUE 4 4 130 FALSE 5 5 140 FALSE 6 6 150 FALSE Is there anyway to compare the age and

I have been trying to open data that I have saved in an excel spread sheet. I saved it as a csv. Then I tried using the read.csv command. However, everytime I do this-- diseasedat<-read.csv("M:/sloan/R/disease/disease.csv", sep=, header = TRUE, fill= TRUE)-- I get an error message: Error in file(file, "r") : unable to open connection In addition: Warning message:

I would be grateful for advice about the following problem. It's not directly R-related, but I'm hoping that R will help me analyse the following data. I have a table which indicates the progression of a certain age-related disease. At a certain point in time, a population was sampled; and I have measurements for the age of each individual, and their disease stage. (Disease stage is an

Hi R help list I'm simulating logistic regression data with a specified odds ratio (beta) and have a problem/unexpected behaviour that occurs. The datasets includes a lognormal exposure and diseased and healthy subjects. Here is my loop: ors <- vector() for(i in 1:200){ # First, I create a vector with a lognormally distributed exposure: n <- 10000 # number of study subjects

Dear UseRs, Suppose I have data regarding smoking habits of a prospective cohort and wish to determine the risk ratio of colorectal cancer in the smokers compared to the non-smokers. What do I do at the end of the study with people who die of heart disease? Can I just censor them exactly the same as people who become uncontactable or who die in a plane crash? If not, why not? I'm thinking

Hi, In an effort to learn S4 objects, I am trying to port some c based tree code to S4 object. My immediate goal is to use .Call() interface for calling my c code from R. My long term goal is to understand how to write c structs that follows S4 classes and not the other-way-around. The c struct for the node is : typedef struct node{ int c; int n; inode **nodes; //length = n } inode; I

Hi I got an error message using datadist() from Design package: > library(Design,T) > dd <- datadist(beta.final) > options(datadist="dd") > lrm(Disease ~ gsct+apcct+rarct, x=TRUE, y=TRUE) Error in eval(expr, envir, enclos) : object "Disease" not found All variables inclduing response variable "Disease" are in the data frame