On Feb 7, 2012, at 8:43 PM, Jeffrey Joh wrote:
Hi David, I am not sure how ddply/summarize solves my issue. I have
the following table:
ID measurement date door color
1 0.93529385 513 open red
2 0.97419293 420 open red
3 0.962053514 513 closed red
4 0.963909937 1230 open blue
5 0.97652034 1230 open green
6 0.989310795 1230 closed blue
7 0.9941022 917 closed yellow
8 0.8945757 1230 open blue
I only want to keep the lines that have corresponding open/closed
measurements. For example, I want to keep lines 4,6,8 because for
the "1230 blue" condition, there exists both open and closed
measurements.
However, the "513 red" condition has an open measurement, but no
closed measurement.
Huh? what about line 3?
--
David,
Therefore, line 1 should be deleted.
Jeffrey
----------------------------------------
CC: r-help@r-project.org; wdun...@tibco.com
From: dwinsem...@comcast.net
To: johjeff...@hotmail.com
Subject: Re: [R] Table rearranging
Date: Tue, 7 Feb 2012 09:08:00 -0500
On Feb 7, 2012, at 4:21 AM, Jeffrey Joh wrote:
Thank you for your help, Bill.
From the original table (not the plyr output), I would like to
remove all the lines that do not have a corresponding open/closed
measurement. For example, if there is a Closed yellow measurement
on 0917, but not an Open yellow 0917 measurement, then the Closed
yellow should be deleted.
How can I make this change?
In R you need to assign the results of a function to an object name
so
you code would look like:
modified_data <- ddply(d, .(date, color), summarize,
meanClosed=mean(measurement[door=="closed"]),
nClosed=sum(door=="closed"))
--
David
Jeffrey
----------------------------------------
From: wdun...@tibco.com
To: johjeff...@hotmail.com; r-help@r-project.org
Subject: RE: [R] Table rearranging
Date: Tue, 7 Feb 2012 00:43:25 +0000
Install and load the "plyr" package and try something like:
ddply(d, .(date, color), summarize,
+ ddply(d, .(date, color), summarize
+ meanClosed=mean(measurement[door=="closed"]),
nClosed=sum(door=="closed"))
date color meanOpen nOpen meanClosed nClosed
1 420 red 0.9741929 1 NaN 0
2 513 red 0.9352938 1 0.9620535 1
3 917 yellow NaN 0 0.9941022 1
4 1230 blue 0.9639099 1 0.9893108 1
5 1230 green 0.9765203 1 NaN 0
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org
] On Behalf Of Jeffrey Joh
Sent: Monday, February 06, 2012 4:28 PM
To: r-help@r-project.org
Subject: [R] Table rearranging
I have a table that looks like this:
measurement date door color
0.93529385 513 open red
0.97419293 420 open red
0.962053514 513 closed red
0.963909937 1230 open blue
0.97652034 1230 open green
0.989310795 1230 closed blue
0.9941022 917 closed yellow
I would like to create a table that has: Open measurement, Closed
measurement, date, color. For every
date/color combination, there should be two columns to represent
the door open/closed measurement.
If there are multiple datapoints with a given door/date/color
combination, then they should be
averaged.
I would also like to make two columns to represent the number of
datapoints that were averaged in determining the open/closed
measurements.
Jeffrey
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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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.
David Winsemius, MD
West Hartford, CT
David Winsemius, MD
West Hartford, CT
______________________________________________
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.
