search for: simdate

Hi all, In the (very simple) example below, I have defined a random effect for the residuals in lme(). So the model is equivalent to a FIXED effect model. Could someone explain to me why lme() still gives two standard deviation estimates? I would expect lme() to return either: a) an error or a warning for having an unidentifiable model; b) only one standard deviation estimate. Thank you for your

A couple of my functions that were working last week seem to have been changed over the weekend and no longer work, but I can't understand why not: it seems that objects defined at the start of the function are not located further on in the function, when this worked fine before. An example follows at the end, using the package spatstat, though the problem seems more general. My only guess is

I using oldlogspline (from logspline package) to model data distributions, and having a problem. My data are search area sizes. They are based on circular search radii from random points to the nearest edge of the nearest grass tussock. Search area sizes are distributed from 0 (the random point intercepts a tussock) and upwards (as points are further from any tussocks). The density of all my

...want the axis on the top to look like, but here's what I'd be likely to do: > > ## note, correction to format; in your example data year comes last > LAI_simulation$Date <- as.Date( LAI_simulation$Date, '%m/%d/%Y') > > plot(LAI~Date, data=LAI_simulation) > > simdate <- as.numeric( LAI_simulation$Date - as.Date('2009-10-7') ) > ## or > simdate <- difftime( LAI_simulation$Date, as.Date('2009-10-7') ) > > ## then > axis(3, pretty(simdate) ) > > > Converting LAI_simulation$Date to numeric, and then applying axis.Date()...