Displaying 3 results from an estimated 3 matches for "obvservations".
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observations
2005 Mar 07
2
0.10.1 Upgrade problems
I just did an upgrade to Rails 0.10.1. It seems to have broken my
app. I get this error (nothing works):
ActionController::RoutingError (No route for path: ""):
/usr/local/lib/ruby/gems/1.8/gems/actionpack-1.5.1/lib/action_controller/routing.rb:258:in
`recognize!''
/usr/local/lib/ruby/gems/1.8/gems/rails-0.10.0/lib/dispatcher.rb:32:in
`dispatch''
2010 Dec 07
0
coxph failure
...0% 50% 90% 99.9% 100%
0.5000 1.4000 2.2000 4.6027 7.3000
There are 1000 observations, the largest is 7.3 and the second largest
is 4.6. The subject with a 7.3 was a failure. When you fit a 4 degree
of freedom polynomial to this there is enough "space" between the two
largest obvservations for the fit to turn nearly straight up and give a
probability of failure of approx 1.0 to this point. This is the actual,
true maximum likelihood solution, so the routine is doing the right
thing to try and attain it. At iteration 1 the linear predictor from
the Cox model has the following distr...
2004 Sep 24
5
using tcltk in R under ESS/XEmacs on Windows
Sorry for the cross-post. Not sure where the problem is...
A while back I posted an R function to R-help:
cd <- function (dir = tclvalue(tkchooseDirectory()), saveOld = FALSE,
loadNew = TRUE) {
stopifnot(require(tcltk))
if (saveOld)
save.image(compress = TRUE)
setwd(dir)
rm(list = ls(all = TRUE, envir = .GlobalEnv), envir = .GlobalEnv)
if (loadNew &&