search for: emptican

Dear List: I had some strange experience in importing data. I wonder if anyone of you had the same problem before and would greatly appreciate your suggestion in advance. The original data set in excel format. Here is a brief summary of the procedure I did: 1. I saved the original excel data as csv and txt formats, separately. 2. I imported two data using the following codes. There were no

Dear list: I would like to extract three letters from first and second elements in one column and make a new column. For example below, > tempdf = read.table("clipboard", header=T, sep='\t') > tempdf name var1 var2 abb 1 Tom Cruiser 1 6 TomCru 2 Bread Pett 2 5 BrePet 3 Arnold Schwiezer 3 7 ArnSch > (p1 =

Hi R-list, I have a data set with plot locations and observations and want to label them based on locations. For example, I have GPS information (x and y) as follows: > x [1] -87.85092 -87.85092 -87.85092 -87.85093 -87.85093 -87.85093 -87.85094 [8] -87.85094 -87.85094 -87.85096 -87.85095 -87.85095 -87.85095 -87.85096 [15] -87.85096 -87.85096 -87.85096 -87.85088 -87.85088 -87.85087

Dear list, I am confused about two functions in R: AIC(fm) and extractAIC(fm). What is the difference between two and when do I have to use one over the other? I have found the similar question previously and still not clear for me to understand. I also looked at '?AIC' and '?extractAIC' in R, which is also unclear. I pasted faked data set, fitting summary, and AICs. Thank

Dear List, I have some problem with my simulation code. Here is output from R: > sim.sp <- function(data,CM,n,N) + { + C <- matrix(rep(NA,N),ncol=1) + for(i in 1:N) + { + j <- n + xx <- which(colSums(CM[j,])==1) + V <- names(xx) + V <- paste(V, collapse="+") + V <- paste("SBA~", V) + rd <- round(nrow(data)*(2/3)) + d <-

Dear List, I have got error message when I run the R-code. Can anyone has a suggestion? v.code <- df.bm7[,c(10:31)]; v.code[1:3,] names(v.code) CM = v.code # variable binomial code sim.sp <- function(data,CM,n,N) { C <- matrix(rep(NA,N),ncol=1) for(i in 1:N) { j <- n xx <- which(colSums(CM[j,])==1) V <- names(xx) V <- paste(V,

Dear List, I posted this in R-mixed and did not receive any feedback. I might post it in the wrong place. I re-post in R-help and hope to receive any suggestions and\or thoughts regarding data analysis. The objective of the study is to investigate effects of soil properties on insect outbreaks. There are four study fields (or sites). Data were collected from 1996 through 2009. Below is

Dear all, I have partial data set with four colums. First column is "site" with three factors (i.e., A, B, and C). From second to fourth columns (v1 ~ v3) are my observations. In the observations of the data set, "." indicates missing value. I replaced "." with NA. To replace "." with NA, I used two steps. First, I replaced "." with NA, and