search for: sumw

Hi All, I am looking at applications of percentiles to time sequenced data. I had just been using the quantile function to get percentiles over various periods, but am more interested in if there is an accepted (and/or R-implemented) method to apply weighting to the data so as to weigh recent data more heavily. I wrote the following function, but it seems quite inefficient, and not really very

...84207 ### start of script ### data <- data.frame(x=1:10, y=log(1:10)) fitw <- lm(data=data, y~x, weights=as.numeric(x<=5)) fits <- lm(data=data, y~x, subset=x<=5) fitw$df.residual == 3 && fits$df.residual == 3 # TRUE identical(coef(fitw), coef(fits)) # TRUE sumw <- summary(fitw) sums <- summary(fits) identical(sumw$df, sums$df) # TRUE predw <- predict(fitw, interval="confidence", se.fit=TRUE, newdata=data.frame(x=c(4.5,5.5))) preds <- predict(fits, interval="confidence", se.fit=TRUE, newdata=data.frame(x=c...

Hello everyone, this is the very first version of the patch series that introduces ARMv7 with virtualization extensions support in Xen. The series allows Xen and Dom0 to boot on a Cortex-A15 based Versatile Express simulator. See the following announce email for more informations about what we are trying to achieve, as well as the original git history: See