Displaying 3 results from an estimated 3 matches for "week4".
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weeks
2000 Jan 04
0
Stepwise logistic discrimination - II
...+ FRAG42 +
FRAG43 + FRAG44 + FRAG45, data = nose126s)
Coefficients:
(Intercept) FRAG25 FRAG26 FRAG27 FRAG28
week2 -5.875869e-09 -0.0002762473 0.0002939013 -5.006443e-05 -1.974740e-07
week3 1.746245e-08 -0.0001898158 0.0001851999 4.408521e-05 1.891675e-07
week4 -1.537005e-09 -0.0000875455 0.0003595600 -9.254731e-05 4.324163e-07
FRAG29 FRAG30 FRAG31 FRAG32 FRAG33
week2 -1.490694e-07 2.315180e-06 9.758291e-05 3.165469e-07 3.952147e-06
week3 3.518809e-07 -2.465738e-06 5.035361e-05 -2.422289e-07 2.018635e-06
week4...
2006 Nov 15
1
dynamic aggregation of many variables
...01)",names(dmx3),perl=T)
week1table <- subset(dmx3,select=c(ID,week1))
week2 <- grep("(_PRO_002)",names(dmx3),perl=T)
week2table <- subset(dmx3,select=c(ID,week2))
week3 <- grep("(_PRO_003)",names(dmx3),perl=T)
week3table <- subset(dmx3,select=c(ID,week3))
week4 <- grep("(_PRO_004)",names(dmx3),perl=T)
week4table <- subset(dmx3,select=c(ID,week4))
mws <-
(week1table[,2:117]+week2table[,2:117]+week3table[,2:117]+week4table[,2:117])/4
2007 Jul 23
3
Aggregate daily data into weekly sums
...4
11 6/18/2007 4
12 6/25/2007 5
13 6/28/2007 5
Basically, I would like to collapse the daily data into weekly sums
such that the result should look like the following:
Date Amount
1 2007/6/Week1 2
2 2007/6/Week2 4
3 2007/6/Week3 15
4 2007/6/Week4 8
5 2007/6/Week5 10
Does there already exist a function that aggregates the data at
user-defined time frequency?
Any pointers would be greatly appreciated.
Jacques
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system...