Hi and welcome to the R-help list. It would be much better for readers to get your data in a more easily used format.
There is a function called dput() that will output your data in a way that R can read easily. We don't need to see all the data but perhaps hundred lines of it would be nice. Try this where your file is called "mydata" # just copy the line below and paste into R head(mydata, 100) # Now copy the output and paste it into your wordprocess as a reply to the list and we will have decent data to work with. John Kane Kingston ON Canada > -----Original Message----- > From: mikeedinge...@gmail.com > Sent: Fri, 22 Jun 2012 09:21:40 -0700 (PDT) > To: r-help@r-project.org > Subject: [R] Questions about doing analysis based on time > > > I have a spreadsheet that I've read into R using read.csv. I've also > attached it. It looks like this (except there are 1600+ entries): > >> Sunday > SunDate SunTime SunScore > 1 5/9/2010 0:00 0:00 127 > 2 6/12/2011 0:00 0:00 125 > 3 6/15/2008 0:04 0:04 98 > 4 8/3/2008 0:07 0:07 118 > 5 7/24/2011 0:07 0:07 122 > 6 5/25/2008 0:09 0:09 104 > 7 5/20/2012 0:11 0:11 124 > 8 10/18/2009 0:12 0:12 121 > 9 3/14/2010 0:12 0:12 117 > 10 1/2/2011 0:12 0:12 131 > > SunDate and SunTime are both factors. In order to change the class to > something I can work with, I use the following: > > Sunday$SunTime<-as.POSIXlt(SunTime,tz=””,”%H:%M”) > Sunday$SunDate<-as.POSIXlt(SunDate,tz=””,”%m/%d/%Y %H:%M”) > > Now, the str(Sunday) command yields: > > 'data.frame': 1644 obs. of 3 variables: > $ SunDate : POSIXlt, format: "2010-05-09 00:00:00" "2011-06-12 00:00:00" > ... > $ SunTime : POSIXlt, format: "2012-06-18 00:00:00" "2012-06-18 00:00:00" > ... > $ SunScore: int 127 125 98 118 122 104 124 121 117 131 ... > > I think all the elements in Sunday are correct for me to do what I want > to > do, but I don't know how to do them. > > 1. How can I get the mean score by hour? For example, I want the mean > score > of all the entries between 0:00 and 0:59, then 1:00 and 1:59, etc. > 2. Is it possible for me to create a histogram by hour for each score > over a > certain point? For example, I want to make a histogram of all scores > above > 140 by the hour they occurred in. Is that possible? > > These last few might not be possibe (at least with R), but I'll ask > anyway. > I've got another data set similar to the one above, except it's got > 12,000 > entries over four years. If I do the same commands as above to turn Date > and Time into POSIXlt, is it possible for me to do the following: > > 1. The data was recorded at irregular intervals, and the difference > between > recorded points can range from anywhere between 1 hour and up to 7. Is > it > possible, when data isn't recorded between two points, to insert the > hours > that are unrecorded along with the average of what that hour is. This is > sort of a pre-requisite for the next two. > 2. If one of the entries has a Score above a certain point, is it > possible > to determine how long it was above that point and determine the mean for > all > the instances this occurred. For example: > 01/01/11 01:00 AM > 101 > 01/01/11 02:21 AM > 142 > 01/01/11 03:36 AM > 156 > 01/01/11 04:19 AM > 130 > 01/01/11 05:12 AM > 146 > 01/01/11 06:49 AM > 116 > 01/01/11 07:09 AM > 111 > There are two spans where it's above 140. The two and three o'clock > hours, > and the 5 o'clock hour. So the mean time would be 1.5 hours. Is it > possible for R to do this over a much larger time period? > > 3. If a score reaches a certain point, is it possible for R to determine > the average time between that and when the score reaches another point. > For > example: > 01/01/11 01:01 AM > 101 > 01/01/11 02:21 AM > 121 > 01/01/11 03:14 AM > 134 > 01/01/11 04:11 AM > 149 > 01/01/11 05:05 AM > 119 > 01/01/11 06:14 AM > 121 > 01/01/11 07:19 AM > 127 > 01/01/11 08:45 AM > 134 > 01/01/11 09:11 AM > 142 > 01/01/11 10:10 AM > 131 > The score goes above 120 during the 2 AM hour and doesn't go above 140 > until > the 4 AM hour. Then it goes above 120 again in the 6 AM hour, but > doesn't > go above 140 until the 9 AM hour. So the average time to go from 120 to > 140 > is 2.5 hours. Can R does this over a much larger time frame? > > If anyone knows how to easily do any of these (particularly the first > part), > I'd greatly appreciate it. > > If some of these are possible, but aren't simple commands and require > more > in depth programming knowledge and time commitment, can someone at least > tell me what sort of thing to look up? > > -- > View this message in context: > http://r.789695.n4.nabble.com/Questions-about-doing-analysis-based-on-time-tp4634230.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ . ____________________________________________________________ FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop! ______________________________________________ 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.
