search for: iprop

Hi all, Where f(x) is a logistic function, I have data that follow: g(x) = f(x)*.5 + .5 How would you suggest I modify the standard glm(..., family='binomial') function to fit this? Here's an example of a clearly ill-advised attempt to simply use the standard glm(..., family='binomial') approach: ######## # First generate some data ######## #define the scale and location of

Hi, I was wondering if someone could please help me. I am doing a logistic regression to compare size at maturity between 3 seasons. My model is: fit <- glm(Mature ~ Season * Size - 1, family = binomial, data=dat) where Mature is a binary response, 0 for immature, 1 for mature. There are 3 Seasons. The Season * Size interaction is significant. I would like to compare the size at 50%

...GdipBeginContainer. gdiplus: Implement BeginContainer metafile record. gdiplus/tests: Check record types in playback tests. gdiplus: Add clipping to GDI32_GdipFillRegion. gdiplus: Add clipping to GDI32_GdipDrawDriverString. gdiplus: Add clipping to GdipDrawImage. iprop: Add dll. -- Alexandre Julliard julliard at winehq.org

Hi Linus, My for-linus branch has a one line fix: git://git.kernel.org/pub/scm/linux/kernel/git/mason/linux-btrfs.git for-linus Sage hit a deadlock with ceph on btrfs, and Josef tracked it down to a regression in our initial rc1 pull. When doing nocow writes we were sometimes starting a transaction with locks held. Josef Bacik (1) commits (+1/-0): Btrfs: release path before starting