search for: breas

Dear Rxperts, is there way to identify intervals from continuous data (having some kind of a pattern) and then pick the value of most frequency? a1 <- round(rnorm(50,mean=0,0.1),2) a2 <- round(rnorm(50,mean=1,0.2),1) a3 <- round(rnorm(50,mean=5,1),0) a4 <- round(rnorm(50,mean=14,4),0) a5 <- round(rnorm(50,mean=30,8),0) b1 <- rbind(a1,a2,a3,a4,a5) hist(b1,brea=100) # shows

Dear Rxperts, Below is a small sample of values (cut short due to space considerations while posting).. I was wondering if it is possible to construct boundaries (or intervals) based on the distribution of points. Is it anything similar to boundary detection of distributions? x1 <-

If I have a dataframe which is organized like this: name color likes? 1 sally red 0 2 sally blue 1 3 sally green 1 4 jake red 0 5 jake blue 1 6 jake green 1 7 tom red 1 8 tom blue 0 9 tom green 0 And I want to create a matrix in the form: red blue green sally 0 1 1 jake 0 1 1 tom 1 0 0 Are there any built-in

I wanted to ask how I can make a for loop or a function return an R object with a unique name based on either some XX of the for loop or some input for the function. For example if I have a function: fn<-function(data,year){ which does does some stuff } How do I return an object from the function called X.year, such that if I run fn(data,1989), the output is an object called X.1989? In

The ''firewall'' and ''functions'' file in CVS together produce a 30%+ speedup of ''shorewall restart'' on my firewall when compared to 1.3.11a. Please test with these files -- I don''t anticipate making any more performance changes for 1.3.12 and I want to be sure that I didn''t break anything. -Tom -- Tom Eastep \ Shorewall

I've been trough the R documentation for about half an hour and it's not clear to me how to do this: I need to format to character a series of integers from 1 to 1000, and I like them to look like "0001" "0002", "0059", "0123" and so on. Padded with zeroes to have four digits. Cheers! Mario. r-help-request at r-project.org wrote: > Send

Hello, Could anybody offer any advice about implementing a Kohonen self organizing map for categorical data? Specifically I am wondering if there are any pre-existent packages that can deal with categorical data and/or how one would compare the input vector of categoricals with the self organizing map nodes. Thanks in advance. George Chen ----- Original Message ----- From: r-help-request at

Hello, I'm getting an error message when I use the ordered probit model "oprobit" in the zelig function. Using the same form as in the help file, we get an error message. It produces coefficients, but no standard errors. See results below. Any hints? Thanks! > > o.probit <- zelig(as.factor(checks.change) ~ Oda + Oil + sh_neg + sh_pos + checks1,

Echoing an older inquiry (https://stat.ethz.ch/pipermail/r-help/2008-November/180184.html), does anyone know of R code that exists to correct for sample selection with panel data as in: J.M. Wooldridge (1995), “Selection Corrections for Panel Data Models Under Conditional Mean Independence Assumptions,” Journal of Econometrics 68, 115-132. Thank you, Jen [[alternative HTML version deleted]]