Help make this simpler ? count business day
I am a beginner in R and this is my first post
Want to count the day in month. For example
Day
2010-09-01 1 Wed
2010-09-02 2 Thurs
2010-09-03 3 Friday
2010-09-07 4 Tuesday
2010-09-08 5 Wed
2010-09-09 6 Thursday
2010-09-10 7 Friday
#-------------------------
library(tseries)
msft <- get.hist.quote(instrument="MSFT",
start="1986-03-31",
end="2008-09-10",
quote=c("O","H","L","C","A","V"),
provider="yahoo",
retclass="zoo")
# tail(msft)
# Open High Low Close AdjClose Volume
#2008-09-03 27.00 27.18 26.84 26.90 25.73 57127700
#2008-09-04 26.74 26.89 26.35 26.35 25.21 66141900
#2008-09-05 26.03 26.22 25.63 25.65 24.54 82305200
#2008-09-08 26.21 26.33 25.67 26.12 24.99 62110800
#2008-09-09 26.20 26.60 26.05 26.10 24.97 85735700
#2008-09-10 26.52 26.86 26.25 26.44 25.29 75064900
countday<-function(z)
{
z <- cbind(z,rep(0,times=nrow(z)))
rng <- range(time(z))
StartDate <- rng[1]
EndDate <- rng[2]
starty <- as.numeric(format(StartDate, "%Y"))
endy <- as.numeric(format(EndDate, "%Y"))
year <- starty
for (year in starty:endy){
for (month in 1:12){
rows <- which(as.numeric(format(time(z),"%m")) == month &
as.numeric(format(time(z),"%Y")) == year )
temp <- z[rows,]
n <- 1:nrow(temp)
z[rows,ncol(z)] <- n
}
}
colnames(z) <- c(colnames(z[,1:(ncol(z)-1)]),"Day")
return(z)
}
msft <- countday(msft)
>msft
# Open High Low Close AdjClose Volume Day
#2008-09-03 27.00 27.18 26.84 26.90 25.73 57127700 2
#2008-09-04 26.74 26.89 26.35 26.35 25.21 66141900 3
#2008-09-05 26.03 26.22 25.63 25.65 24.54 82305200 4
#2008-09-08 26.21 26.33 25.67 26.12 24.99 62110800 5
#2008-09-09 26.20 26.60 26.05 26.10 24.97 85735700 6
#2008-09-10 26.52 26.86 26.25 26.44 25.29 75064900 7
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On Tue, Nov 9, 2010 at 11:49 AM, cameron <raymond.fu at invesco.com> wrote:> > Help make this simpler ? count business day > > > I am a beginner in R and this is my first post > > Want to count the day in month. ?For example > > ? ? ? ? ? ? ? ? Day > 2010-09-01 ? 1 ? ? ?Wed > 2010-09-02 ? 2 ?Thurs > 2010-09-03 ? 3 ?Friday > 2010-09-07 ? 4 ?Tuesday > 2010-09-08 ? 5 ?Wed > 2010-09-09 ? 6 ?Thursday > 2010-09-10 ? 7 ?Friday > > #------------------------- > library(tseries) > > msft <- get.hist.quote(instrument="MSFT", start="1986-03-31", > end="2008-09-10", quote=c("O","H","L","C","A","V"), provider="yahoo", > retclass="zoo") > > # tail(msft) > # ? ? ? ? ? ?Open ?High ? Low Close AdjClose ? Volume > #2008-09-03 27.00 27.18 26.84 26.90 ? ?25.73 57127700 > #2008-09-04 26.74 26.89 26.35 26.35 ? ?25.21 66141900 > #2008-09-05 26.03 26.22 25.63 25.65 ? ?24.54 82305200 > #2008-09-08 26.21 26.33 25.67 26.12 ? ?24.99 62110800 > #2008-09-09 26.20 26.60 26.05 26.10 ? ?24.97 85735700 > #2008-09-10 26.52 26.86 26.25 26.44 ? ?25.29 75064900 > > > countday<-function(z) > { > ? ? ? ?z <- cbind(z,rep(0,times=nrow(z))) > > ? ? ? ?rng <- range(time(z)) > ? ? ? ?StartDate <- rng[1] > ? ? ? ?EndDate ? <- rng[2] > > ? ? ? ?starty <- as.numeric(format(StartDate, "%Y")) > ? ? ? ?endy ? <- as.numeric(format(EndDate, "%Y")) > > ? ? ? ?year <- starty > > ? ? ? ?for (year in starty:endy){ > ? ? ? ? ? ? ? ?for (month in 1:12){ > ? ? ? ? ? ? ? ? ? ? ? ?rows <- which(as.numeric(format(time(z),"%m")) == month & > as.numeric(format(time(z),"%Y")) == year ) > ? ? ? ? ? ? ? ? ? ? ? ?temp <- z[rows,] > ? ? ? ? ? ? ? ? ? ? ? ?n <- 1:nrow(temp) > ? ? ? ? ? ? ? ? ? ? ? ?z[rows,ncol(z)] <- n > ? ? ? ? ? ? ? ?} > ? ? ? ?} > ? ? ? ?colnames(z) <- c(colnames(z[,1:(ncol(z)-1)]),"Day") > ? ? ? ?return(z) > } > > msft <- countday(msft) > >>msft > # ? ? ? ? ? ?Open ?High ? Low Close AdjClose ? Volume ? ? ? ?Day > #2008-09-03 27.00 27.18 26.84 26.90 ? ?25.73 57127700 ? 2 > #2008-09-04 26.74 26.89 26.35 26.35 ? ?25.21 66141900 ? 3 > #2008-09-05 26.03 26.22 25.63 25.65 ? ?24.54 82305200 ? 4 > #2008-09-08 26.21 26.33 25.67 26.12 ? ?24.99 62110800 ? 5 > #2008-09-09 26.20 26.60 26.05 26.10 ? ?24.97 85735700 ? 6 > #2008-09-10 26.52 26.86 26.25 26.44 ? ?25.29 75064900 ? 7Try this: msft$Day <- ave(1:nrow(msft), as.yearmon(time(msft)), FUN = seq_along) -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com
thanks Gabor There is no way i can come up with your code. I guess if i am using loop in R, I am doing it wrong. -- View this message in context: http://r.789695.n4.nabble.com/Help-make-this-simpler-count-business-day-tp3034621p3036042.html Sent from the R help mailing list archive at Nabble.com.
On Tue, Nov 9, 2010 at 8:49 PM, Gabor Grothendieck <ggrothendieck at gmail.com> wrote:> On Tue, Nov 9, 2010 at 11:49 AM, cameron <raymond.fu at invesco.com> wrote: >> >> Help make this simpler ? count business day >> >> >> I am a beginner in R and this is my first post >> >> Want to count the day in month. ?For example >> >> ? ? ? ? ? ? ? ? Day >> 2010-09-01 ? 1 ? ? ?Wed >> 2010-09-02 ? 2 ?Thurs >> 2010-09-03 ? 3 ?Friday >> 2010-09-07 ? 4 ?Tuesday >> 2010-09-08 ? 5 ?Wed >> 2010-09-09 ? 6 ?Thursday >> 2010-09-10 ? 7 ?Friday >> >> #------------------------- >> library(tseries) >> >> msft <- get.hist.quote(instrument="MSFT", start="1986-03-31", >> end="2008-09-10", quote=c("O","H","L","C","A","V"), provider="yahoo", >> retclass="zoo") >> >> # tail(msft) >> # ? ? ? ? ? ?Open ?High ? Low Close AdjClose ? Volume >> #2008-09-03 27.00 27.18 26.84 26.90 ? ?25.73 57127700 >> #2008-09-04 26.74 26.89 26.35 26.35 ? ?25.21 66141900 >> #2008-09-05 26.03 26.22 25.63 25.65 ? ?24.54 82305200 >> #2008-09-08 26.21 26.33 25.67 26.12 ? ?24.99 62110800 >> #2008-09-09 26.20 26.60 26.05 26.10 ? ?24.97 85735700 >> #2008-09-10 26.52 26.86 26.25 26.44 ? ?25.29 75064900 >> >> >> countday<-function(z) >> { >> ? ? ? ?z <- cbind(z,rep(0,times=nrow(z))) >> >> ? ? ? ?rng <- range(time(z)) >> ? ? ? ?StartDate <- rng[1] >> ? ? ? ?EndDate ? <- rng[2] >> >> ? ? ? ?starty <- as.numeric(format(StartDate, "%Y")) >> ? ? ? ?endy ? <- as.numeric(format(EndDate, "%Y")) >> >> ? ? ? ?year <- starty >> >> ? ? ? ?for (year in starty:endy){ >> ? ? ? ? ? ? ? ?for (month in 1:12){ >> ? ? ? ? ? ? ? ? ? ? ? ?rows <- which(as.numeric(format(time(z),"%m")) == month & >> as.numeric(format(time(z),"%Y")) == year ) >> ? ? ? ? ? ? ? ? ? ? ? ?temp <- z[rows,] >> ? ? ? ? ? ? ? ? ? ? ? ?n <- 1:nrow(temp) >> ? ? ? ? ? ? ? ? ? ? ? ?z[rows,ncol(z)] <- n >> ? ? ? ? ? ? ? ?} >> ? ? ? ?} >> ? ? ? ?colnames(z) <- c(colnames(z[,1:(ncol(z)-1)]),"Day") >> ? ? ? ?return(z) >> } >> >> msft <- countday(msft) >> >>>msft >> # ? ? ? ? ? ?Open ?High ? Low Close AdjClose ? Volume ? ? ? ?Day >> #2008-09-03 27.00 27.18 26.84 26.90 ? ?25.73 57127700 ? 2 >> #2008-09-04 26.74 26.89 26.35 26.35 ? ?25.21 66141900 ? 3 >> #2008-09-05 26.03 26.22 25.63 25.65 ? ?24.54 82305200 ? 4 >> #2008-09-08 26.21 26.33 25.67 26.12 ? ?24.99 62110800 ? 5 >> #2008-09-09 26.20 26.60 26.05 26.10 ? ?24.97 85735700 ? 6 >> #2008-09-10 26.52 26.86 26.25 26.44 ? ?25.29 75064900 ? 7 > > Try this: > > msft$Day <- ave(1:nrow(msft), as.yearmon(time(msft)), FUN = seq_along)Note that as.yearmon is from the zoo package: library(zoo) -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com