[R] First Derivative of Data Matrix

2009-04-12 Thread thaumaturgy

I am really new to R and ran across a need to take a data matrix and
calculate an approximation of the first derivative of the data.  I am more
than happy to do an Excel kind of calculation (deltaY/deltaX) for each
pair of rows down the matrix, but I don't know how to get R to do that kind
of calculation.  I'd like to store it as a 3rd column in the matrix as well.

My data looks like this:
 acflong
1  1.000
2  0.9875858
3  0.9871751
4  0.9867585
5  0.9863358
6  0.9859070
7  0.9854721
8  0.9850316
9  0.9817161
10 0.9812650

and I'd like to generate a table like this:

 acflong  dacflong/dx
1  1.000
2  0.9875858-0.01241  #delta(acflong)/delta(index)
3  0.9871751-0.00041
4  0.9867585-0.00042
5  0.9863358-0.00042
6  0.9859070-0.00043
7  0.9854721-0.00043
8  0.9850316-0.00044
9  0.9817161-0.00033
10 0.9812650   -0.00045

Is there a way to do this in R and how do I eliminate the first line of the
data?

Thanks,
-Chris
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Re: [R] First Derivative of Data Matrix

2009-04-12 Thread David Winsemius
delta(index) is identically 1, so taking first differences is all that  
is needed. If the dtatframe's name is df then:


df$dacflong_dx - c(NA, diff(acflong)) # the slash would not be a  
legal character in a variable name unless you jumped through some  
hoops that appear entirely without value


If you want to get rid of the first line of df then

df[-1]

--
David Winsemius


On Apr 12, 2009, at 11:55 AM, thaumaturgy wrote:



I am really new to R and ran across a need to take a data matrix and
calculate an approximation of the first derivative of the data.  I  
am more
than happy to do an Excel kind of calculation (deltaY/deltaX) for  
each
pair of rows down the matrix, but I don't know how to get R to do  
that kind
of calculation.  I'd like to store it as a 3rd column in the matrix  
as well.


My data looks like this:
acflong
1  1.000
2  0.9875858
3  0.9871751
4  0.9867585
5  0.9863358
6  0.9859070
7  0.9854721
8  0.9850316
9  0.9817161
10 0.9812650

and I'd like to generate a table like this:

acflong  dacflong/dx
1  1.000
2  0.9875858-0.01241  #delta(acflong)/delta(index)
3  0.9871751-0.00041
4  0.9867585-0.00042
5  0.9863358-0.00042
6  0.9859070-0.00043
7  0.9854721-0.00043
8  0.9850316-0.00044
9  0.9817161-0.00033
10 0.9812650   -0.00045

Is there a way to do this in R and how do I eliminate the first line  
of the

data?

Thanks,
-Chris
--
View this message in context: 
http://www.nabble.com/First-Derivative-of-Data-Matrix-tp23012026p23012026.html
Sent from the R help mailing list archive at Nabble.com.

__
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.


David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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Re: [R] First Derivative of Data Matrix

2009-04-12 Thread spencerg
 However, estimating derivatives from differencing data amplifies 
minor errors.  Less noisy estimates can be obtained by first smoothing 
and then differentiating the smooth.  The fda package provides 
substantial facilities for this. 

 Hope this helps. 
 Spencer Graves


David Winsemius wrote:
delta(index) is identically 1, so taking first differences is all that 
is needed. If the dtatframe's name is df then:


df$dacflong_dx - c(NA, diff(acflong)) # the slash would not be a 
legal character in a variable name unless you jumped through some 
hoops that appear entirely without value


If you want to get rid of the first line of df then

df[-1]



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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.


Re: [R] First Derivative of Data Matrix

2009-04-12 Thread thaumaturgy

David,
Thank you!  

-Chris
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View this message in context: 
http://www.nabble.com/First-Derivative-of-Data-Matrix-tp23012026p23015941.html
Sent from the R help mailing list archive at Nabble.com.

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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.