Displaying 6 results from an estimated 6 matches for "fo2".
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2005 Jul 31
1
BUG: Standard Time v. DST calculated wrong by Samba Server
FYI, the same bug apears if one mounts the file system
using "cifs":
-rwxr----- 1 user 2532415 2000-04-02 00:34:50.000000000 -0800 fo1.mp3*
-rwxr----- 1 user 3876671 2000-03-12 21:33:20.000000000 -0800 fo2.mp3*
Linda W wrote:
> Summary:
> There appears to be a bug in the "time range" Samba is using on
> dates where time is scheduled to "Spring Forward" from Standard
> to Daylight Savings time. Might want to review the code for
> "Falling back", as well....
2005 Jul 30
0
Samba bug: 1 out of 387 files off by 1 hour (DST/ST bug)
...view the code for
"Falling back", as well...
Details:
This started out with my thinking it was an rsync problem, but
it appears to be something to do with how samba is exporting the
file time (!? or Windows is reading 1 file).
I have 2 files in a windows directory, /tmp/files: fo1.mp3, fo2.mp3.
I rsynced them to a directory on a linux box running SuSE 9.1
with samba-3.0.9-2.6.
On the linux/samba server, I see times:
target> ll --full-time
total 6264
-rwxr----- 1 user 2532415 2000-04-02 01:34:50.000000000 -0800 fo1.mp3*
-rwxr----- 1 user 3876671 2000-03-12 22:33:20.000000000 -08...
2010 Sep 03
1
How to use lm() output for systemfit() 'Seemingly unrelated regression'
I am having problem using output of lm() function for further analysing using
systemfit package.
Basicaly, the problem s following - I generate several formulas using lm()
> fo1 <- lm(r98[,2] ~ f98[,1] + f98[,2] + ... + f98[,43])
> fo2 <- lm(r98[,1] ~ f98[,1] + f98[,2] + ... + f98[,43])
and than I want to estimate a general model using package systemfit.
> fitsur <- systemfit("SUR",list(as.formula(fo),as.formula(foo)))
and I get following error:
Error in systemfit("SUR", list(as.formula(fo), as.fo...
2011 Apr 30
1
More flexible aggregate / eval
...FUN = function(x) round(prop.table(x) * 100, 1) ) )
op2 <- xtabs(l_pct ~ group2 + ids + time, data = d2)
ftable(op2, row.vars=c(1,3))
## and for group3...
## To have a more flexible solution I wrote this function:
myfun <- function(xdf, xvar) {
fo1 <- "cbind(x1, x2) ~ "
fo2 <- paste(fo1, xvar, "+ ids + time", sep="")
formular <- as.formula(fo2)
d2 <- do.call(aggregate, list(formular, data = xdf, FUN = sum))
d2$l_pct <- with(d2, ave(x1, list(eval(as.name(xvar)), time),
FUN = function(x) round(prop.table(x) * 10...
2009 Mar 26
1
Extreme AIC in glm(), perfect separation, svm() tuning
...s
0! brglm() is no better than glm() in this case. Code and output of glm():
matrix2 <- read.table("http://ihome.ust.hk/~haitian/sample2.txt")
names(matrix2)<- c("g0","g28","g1334","g1871","g3639","g4295")
library(MASS)
fo2 <- as.formula(g0 ~ g28 * g1334 * g1871 * g3639 * g4295)
lr2 <- glm(fo2, family=binomial(link=logit), data=matrix2)
summary(lr2)
Deviance Residuals:
Min 1Q Median 3Q Max
-4.527e-05 -2.107e-08 -2.107e-08 2.107e-08 5.802e-05
Coefficients:...
2020 Feb 27
2
[PATCH] Update the 5 year logo to 10 year logo
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