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Full_Name: Joaquin Diaz-Saiz Version: 1.3.0 OS: Windows Submission from: (NULL) (129.7.120.106) The lm() function applied to a particular data set produces a negative value for the adjusted R-square. See the output below. ======================================================= R : Copyright 2001, The R Development Core Team Version 1.3.0 (2001-06-22) R is free software and comes with

After rx vq was enabled, we never stop polling its socket. This is sub optimal when may lead unnecessary wake-ups after the rx net work has already been queued. This could be optimized by stopping polling the rx net sock when processing both rx and tx and restart it afterward. This could save unnecessary wake-ups and even unnecessary spin locks acquiring with the help of commit

After rx vq was enabled, we never stop polling its socket. This is sub optimal when may lead unnecessary wake-ups after the rx net work has already been queued. This could be optimized by stopping polling the rx net sock when processing both rx and tx and restart it afterward. This could save unnecessary wake-ups and even unnecessary spin locks acquiring with the help of commit

On Fri, Aug 15, 2014 at 11:40:08AM +0800, Jason Wang wrote: > After rx vq was enabled, we never stop polling its socket. This is sub optimal > when may lead unnecessary wake-ups after the rx net work has already been > queued. This could be optimized by stopping polling the rx net sock when > processing both rx and tx and restart it afterward. This could save unnecessary > wake-ups

Hey, I am just starting to learn R now and I typed in this simple survival program: library(survival) t <- c(10,13,18,19,23,30,36,38,54,56,59,75,93,97,104,107,107,107) c <- c(1,0,0,1,0,1,1,0,0,0,1,1,1,1,0,1,0,0) data <- Surv(t,c) km <- survfit(data) summary(km) Call: survfit(formula = data) but everytime I run it I get this error: Error in