[R] How to monthly,daily,yearly average

2009-03-11 Thread Qianfeng Li
Sorry, this is my first time to post. 

I have a big data set: first colume is date (ex: 2008-2-150, the second is time 
(10:30:00), and the following columes are variaty measurement data. Every 30 
min, I have one data. 

I want to find an effecient way to calculate the hourly, daily, monthly and 
yearly average, and plot them, and eventually use these average data to do 
further analysis. 

Thanks!
Jeff  


  
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Re: [R] How to monthly,daily,yearly average

2009-03-11 Thread Tammy Ma

Check as.Date

 Date: Wed, 11 Mar 2009 06:25:44 -0700
 From: qflic...@yahoo.com
 To: r-help@r-project.org
 Subject: [R] How to monthly,daily,yearly average
 
 Sorry, this is my first time to post. 
 
 I have a big data set: first colume is date (ex: 2008-2-150, the second is 
 time (10:30:00), and the following columes are variaty measurement data. 
 Every 30 min, I have one data. 
 
 I want to find an effecient way to calculate the hourly, daily, monthly and 
 yearly average, and plot them, and eventually use these average data to do 
 further analysis. 
 
 Thanks!
 Jeff  
 
 
   
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 https://stat.ethz.ch/mailman/listinfo/r-help
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 and provide commented, minimal, self-contained, reproducible code.

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Re: [R] How to monthly,daily,yearly average

2009-03-11 Thread Gabor Grothendieck
Here is an example.  See the three vignettes in zoo:
vignette(zoo)
and R News 4/1 for info on dates.

# assume this input

Lines - Date Time Value
01/01/08 00:00:00 1
01/01/08 00:30:00 2
01/01/08 01:00:00 3
01/01/08 01:30:00 4
01/01/08 02:00:00 5
01/01/08 02:30:00 6
01/01/08 03:00:00 7
01/01/08 03:30:00 8
01/01/08 04:00:00 9

# read in the data, convert it to zoo, aggregate it and plot

library(zoo)
library(chron)

# DF - read.table(myfile.dat, header = TRUE, as.is = TRUE)
DF - read.table(textConnection(Lines), header = TRUE, as.is = TRUE)

# next line may need to specify formats, if different
z - zoo(DF$Value, chron(DF$Date, DF$Time))

# hourly aggregation
z.hr - aggregate(z, trunc(time(z), 01:00:00), mean)
plot(z.hr, type = o)

# daily aggregation
z.day - aggregate(z, trunc, mean)
plot(z.day, type = o)

# monthly aggregation
z.mo - aggregate(z, as.yearmon, mean)
plot(z.mo, type = o)

# yearly aggregation
z.yr - aggregate(z.mo, floor, mean)
plot(z.yr, type = o)


On Wed, Mar 11, 2009 at 9:25 AM, Qianfeng Li qflic...@yahoo.com wrote:
 Sorry, this is my first time to post.

 I have a big data set: first colume is date (ex: 2008-2-150, the second is 
 time (10:30:00), and the following columes are variaty measurement data. 
 Every 30 min, I have one data.

 I want to find an effecient way to calculate the hourly, daily, monthly and 
 yearly average, and plot them, and eventually use these average data to do 
 further analysis.

 Thanks!
 Jeff



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 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.