Re: [R] data format

2015-08-19 Thread Erich Neuwirth
This is the kind of problem the package tidyR has been designed for.

 On 19 Aug 2015, at 16:29, minikg min...@cmfri.org.in wrote:
 
 Hi,
 
 I have a dataset consisting of landmarks of each sample's  coordinates as
 given below.
 
 landmark  X   Y   X   Y   X   Y
 P1   534  7   26  7   32
 P2 46 45  48  42  44  48
 P3 73 45  72  44  71  46
 P4 92 43  90  43  89  42
 
 
 please help me to change my data format to
 
 samplep1x1p1y1p2x2p2y2p3x3p3y3p4x4p4y4
 1534  46  45  73  45  92  43
 2726  48  42  72  44  90  43
 3732  44  48  71  46  89  42
 
 Thanks
 
 
 
 
 --
 View this message in context: 
 http://r.789695.n4.nabble.com/data-format-tp4711278.html
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[R] data format

2015-08-19 Thread minikg
Hi,

I have a dataset consisting of landmarks of each sample's  coordinates as
given below. 

landmarkX   Y   X   Y   X   Y
P1 534  7   26  7   32
P2   46 45  48  42  44  48
P3   73 45  72  44  71  46
P4   92 43  90  43  89  42


please help me to change my data format to

sample  p1x1p1y1p2x2p2y2p3x3p3y3p4x4p4y4
1  534  46  45  73  45  92  43
2  726  48  42  72  44  90  43
3  732  44  48  71  46  89  42

Thanks 




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Re: [R] data format

2015-08-19 Thread David L Carlson
This looks like data for a morphometrics analysis so you should know about 
package geomorph. Data like yours is often stored as a three dimensional array 
so we switch to that format and then use the two.d.array() function in package 
geomorph:

Assuming your dataset is called dat: 

 arr - array(as.matrix(dat[, -1]), dim=c(4, 2, 3))
 library(geomorph)
 mat - two.d.array(arr)
 colnames(mat) - paste0(p, rep(1:4, each=2), 
+  rep(c(x, y), 4), rep(1:4, each=2))
 mat
 p1x1 p1y1 p2x2 p2y2 p3x3 p3y3 p4x4 p4y4
[1,]5   34   46   45   73   45   92   43
[2,]7   26   48   42   72   44   90   43
[3,]7   32   44   48   71   46   89   42
 dat2 - data.frame(sample=1:3, mat)
 dat2
  sample p1x1 p1y1 p2x2 p2y2 p3x3 p3y3 p4x4 p4y4
1  15   34   46   45   73   45   92   43
2  27   26   48   42   72   44   90   43
3  37   32   44   48   71   46   89   42


-
David L Carlson
Department of Anthropology
Texas AM University
College Station, TX 77840-4352



-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of minikg
Sent: Wednesday, August 19, 2015 9:29 AM
To: r-help@r-project.org
Subject: [R] data format

Hi,

I have a dataset consisting of landmarks of each sample's  coordinates as
given below. 

landmarkX   Y   X   Y   X   Y
P1 534  7   26  7   32
P2   46 45  48  42  44  48
P3   73 45  72  44  71  46
P4   92 43  90  43  89  42


please help me to change my data format to

sample  p1x1p1y1p2x2p2y2p3x3p3y3p4x4p4y4
1  534  46  45  73  45  92  43
2  726  48  42  72  44  90  43
3  732  44  48  71  46  89  42

Thanks 




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View this message in context: 
http://r.789695.n4.nabble.com/data-format-tp4711278.html
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Re: [R] data format setting

2014-06-14 Thread eliza botto
Thanks Frede,it helped alot.

eliza

From: fr...@vestas.com
To: eliza_bo...@hotmail.com; r-help@r-project.org
Date: Sat, 14 Jun 2014 06:09:08 +0200
Subject: RE: [R] data format setting







Hi Eliza
To me it seems like that you're not thinking before you messing about with the 
data before an analysis. 
The years with data for 366 days is leap years. It happens every fourth year 
and the extra day falls on the 29th of februar. I guess it is the results from 
the dcast function that screws things up to make you believe that it's day 
number 366.
The best thing to do is to do your analysis on the complete data with some 
missing values for February 29th between leap years. 
Or you can discard the leap year day for leap years and do the analysis for all 
years of 365 days.
What is the rationale by imputing missing data using the approx function? I 
mean the no leap year has only 365 days. 
If you for some unknown reasons you want to fill in value for the NAs one 
natural way is to substitute the NAs on February 29th by the mean of the 
values on February 28th and Marts 1st. I think there is a na.approx function 
for that in some package (perhaps zoo). Other metods are available in R: google 
for R + impute.
Best Regards
Frede
Sendt fra Samsung mobil

 Oprindelig meddelelse 
Fra: eliza botto 
Dato:13/06/2014 20.48 (GMT+01:00) 
Til: r-help@r-project.org 
Emne: Re: [R] data format setting 


Thanks dennis,

It worked but I had to do some simple modifications to get to the ultimate 
format.

Now I have a list in the following format

$A

2004200520062007200820092010

..

...

...

..

...



$AY



196719682000...



some columns had 365 rows and some 366. those with 365 rows had their 366 row 
as NA. 

Now I want to apply approx. command to interpolate 366 values to 365, but when 
I apply approx command I gives out something 

which is with $x and $y, and frankly speaking it messed up everything.

Is their a way that i do it neatly without getting the format deteriorated?





In any way, thank-you very much indeed.



Eliza



 Date: Fri, 13 Jun 2014 11:11:37 -0700

 Subject: Re: [R] data format setting

 From: djmu...@gmail.com

 To: eliza_bo...@hotmail.com

 

 Hi:

 

 Maybe something like this:

 

 library(reshape2)

 L - split(DF, DF$year)

 L2 - llply(L, function(d) dcast(d, month + day ~ year, value.var =

 discharge))

 

 Obviously untested, so caveat emptor. The idea is to use the dcast

 function to reshape the data from long to wide format within year.

 

 Dennis

 

 On Fri, Jun 13, 2014 at 8:55 AM, eliza botto eliza_bo...@hotmail.com wrote:

 

  Dear R family,

  I hope you all be doing great. I have a dataset of following format. The 
  data file is of the following format.

 

st year month day discharge

  1  A 2004 1   1  6.752828

  2  A 2004 1   2  7.602053

  3  A 2004 1   3  5.583619

  4  A 2004 1   4  5.019562

  5  A 2004 1   5  4.804489

  6  A 2004 1   6  4.363541

  7  A 2004 1   7  3.801333

  8  A 2004 1   8  3.455991

  9  A 2004 1   9  3.402634

  10 A 2004 1  10  3.250693

  ..

  ..

  continue

  ..

  ..

   st year month day discharge

  2AY 196710   3  0.56

  20001AY 196710   4  0.56

  20002AY 196710   5  0.48

  20003AY 196710   6  0.56

  20004AY 196710   7  0.48

  20005AY 196710   8  0.40

  20006AY 196710   9  0.40

  20007AY 196710  10  0.56

  20008AY 196710  11  0.56

  20009AY 196710  12  0.65

  20010AY 196710  13  0.85

 

  you can see that there are five columns.

  The first column has the name of the station. I want to split the data 
  w.r.t the names of the stations. Each station has data for certain years. 
  for example A has data for years from 2004 to 2010 and for AY its from 
  1967 to 2000.similarly for other years there is data for different number 
  of years.

  I want to make a list of matrices each containing the data for that station 
  in the following format

  $A

  2004200520062007200820092010

  ..

  ...

  ...

  ..

  ...

 

  $AY

 

  196719682000

 

  each column should have 365 to 366 values depending on whether there is a 
  leap year or not. obviously for non-leap years 366th row should be an NA.

  kindly help me on it.

  Thankyou very much in advance.

  Eliza

 

 

  [[alternative HTML version deleted]]

 

  __

  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.

   

[[alternative HTML version

[R] data format setting

2014-06-13 Thread eliza botto

Dear R family,
I hope you all be doing great. I have a dataset of following format. The data 
file is of the following format.

  st year month day discharge
1  A 2004 1   1  6.752828
2  A 2004 1   2  7.602053
3  A 2004 1   3  5.583619
4  A 2004 1   4  5.019562
5  A 2004 1   5  4.804489
6  A 2004 1   6  4.363541
7  A 2004 1   7  3.801333
8  A 2004 1   8  3.455991
9  A 2004 1   9  3.402634
10 A 2004 1  10  3.250693
.. 
..
continue
..
..
 st year month day discharge
2AY 196710   3  0.56
20001AY 196710   4  0.56
20002AY 196710   5  0.48
20003AY 196710   6  0.56
20004AY 196710   7  0.48
20005AY 196710   8  0.40
20006AY 196710   9  0.40
20007AY 196710  10  0.56
20008AY 196710  11  0.56
20009AY 196710  12  0.65
20010AY 196710  13  0.85

you can see that there are five columns.
The first column has the name of the station. I want to split the data w.r.t 
the names of the stations. Each station has data for certain years. for example 
A has data for years from 2004 to 2010 and for AY its from 1967 to 
2000.similarly for other years there is data for different number of years.
I want to make a list of matrices each containing the data for that station in 
the following format
$A
2004200520062007200820092010
..
...
...
..
...

$AY

196719682000

each column should have 365 to 366 values depending on whether there is a leap 
year or not. obviously for non-leap years 366th row should be an NA.
kindly help me on it.
Thankyou very much in advance.
Eliza

  
[[alternative HTML version deleted]]

__
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] data format setting

2014-06-13 Thread Clint Bowman

?sort,
?unique, and
subset come to mind.

Clint BowmanINTERNET:   cl...@ecy.wa.gov
Air Quality Modeler INTERNET:   cl...@math.utah.edu
Department of Ecology   VOICE:  (360) 407-6815
PO Box 47600FAX:(360) 407-7534
Olympia, WA 98504-7600

USPS:   PO Box 47600, Olympia, WA 98504-7600
Parcels:300 Desmond Drive, Lacey, WA 98503-1274

On Fri, 13 Jun 2014, eliza botto wrote:



Dear R family,
I hope you all be doing great. I have a dataset of following format. The data 
file is of the following format.

 st year month day discharge
1  A 2004 1   1  6.752828
2  A 2004 1   2  7.602053
3  A 2004 1   3  5.583619
4  A 2004 1   4  5.019562
5  A 2004 1   5  4.804489
6  A 2004 1   6  4.363541
7  A 2004 1   7  3.801333
8  A 2004 1   8  3.455991
9  A 2004 1   9  3.402634
10 A 2004 1  10  3.250693
..
..
continue
..
..
st year month day discharge
2AY 196710   3  0.56
20001AY 196710   4  0.56
20002AY 196710   5  0.48
20003AY 196710   6  0.56
20004AY 196710   7  0.48
20005AY 196710   8  0.40
20006AY 196710   9  0.40
20007AY 196710  10  0.56
20008AY 196710  11  0.56
20009AY 196710  12  0.65
20010AY 196710  13  0.85

you can see that there are five columns.
The first column has the name of the station. I want to split the data w.r.t the names of the 
stations. Each station has data for certain years. for example A has data for years 
from 2004 to 2010 and for AY its from 1967 to 2000.similarly for other years there is 
data for different number of years.
I want to make a list of matrices each containing the data for that station in 
the following format
$A
2004200520062007200820092010
..
...
...
..
...

$AY

196719682000

each column should have 365 to 366 values depending on whether there is a leap 
year or not. obviously for non-leap years 366th row should be an NA.
kindly help me on it.
Thankyou very much in advance.
Eliza


[[alternative HTML version deleted]]

__
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.



__
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] data format setting

2014-06-13 Thread eliza botto
Thanks dennis,
It worked but I had to do some simple modifications to get to the ultimate 
format.
Now I have a list in the following format
$A
2004200520062007200820092010
..
...
...
..
...

$AY

196719682000...

some columns had 365 rows and some 366. those with 365 rows had their 366 row 
as NA. 
Now I want to apply approx. command to interpolate 366 values to 365, but when 
I apply approx command I gives out something 
which is with $x and $y, and frankly speaking it messed up everything.
Is their a way that i do it neatly without getting the format deteriorated?


In any way, thank-you very much indeed.

Eliza

 Date: Fri, 13 Jun 2014 11:11:37 -0700
 Subject: Re: [R] data format setting
 From: djmu...@gmail.com
 To: eliza_bo...@hotmail.com
 
 Hi:
 
 Maybe something like this:
 
 library(reshape2)
 L - split(DF, DF$year)
 L2 - llply(L, function(d) dcast(d, month + day ~ year, value.var =
 discharge))
 
 Obviously untested, so caveat emptor. The idea is to use the dcast
 function to reshape the data from long to wide format within year.
 
 Dennis
 
 On Fri, Jun 13, 2014 at 8:55 AM, eliza botto eliza_bo...@hotmail.com wrote:
 
  Dear R family,
  I hope you all be doing great. I have a dataset of following format. The 
  data file is of the following format.
 
st year month day discharge
  1  A 2004 1   1  6.752828
  2  A 2004 1   2  7.602053
  3  A 2004 1   3  5.583619
  4  A 2004 1   4  5.019562
  5  A 2004 1   5  4.804489
  6  A 2004 1   6  4.363541
  7  A 2004 1   7  3.801333
  8  A 2004 1   8  3.455991
  9  A 2004 1   9  3.402634
  10 A 2004 1  10  3.250693
  ..
  ..
  continue
  ..
  ..
   st year month day discharge
  2AY 196710   3  0.56
  20001AY 196710   4  0.56
  20002AY 196710   5  0.48
  20003AY 196710   6  0.56
  20004AY 196710   7  0.48
  20005AY 196710   8  0.40
  20006AY 196710   9  0.40
  20007AY 196710  10  0.56
  20008AY 196710  11  0.56
  20009AY 196710  12  0.65
  20010AY 196710  13  0.85
 
  you can see that there are five columns.
  The first column has the name of the station. I want to split the data 
  w.r.t the names of the stations. Each station has data for certain years. 
  for example A has data for years from 2004 to 2010 and for AY its from 
  1967 to 2000.similarly for other years there is data for different number 
  of years.
  I want to make a list of matrices each containing the data for that station 
  in the following format
  $A
  2004200520062007200820092010
  ..
  ...
  ...
  ..
  ...
 
  $AY
 
  196719682000
 
  each column should have 365 to 366 values depending on whether there is a 
  leap year or not. obviously for non-leap years 366th row should be an NA.
  kindly help me on it.
  Thankyou very much in advance.
  Eliza
 
 
  [[alternative HTML version deleted]]
 
  __
  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.
  
[[alternative HTML version deleted]]

__
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] data format setting

2014-06-13 Thread Jeff Newmiller
As always, you are requested to post in plain text and to provide a 
reproducible example. Messed things up is quite vague.
FWIW: In general, processing in sequence is best done BEFORE you cast your data 
to wide format.
---
Jeff NewmillerThe .   .  Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.   ##.#.  Live Go...
  Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/BatteriesO.O#.   #.O#.  with
/Software/Embedded Controllers)   .OO#.   .OO#.  rocks...1k
--- 
Sent from my phone. Please excuse my brevity.

On June 13, 2014 12:46:01 PM MDT, eliza botto eliza_bo...@hotmail.com wrote:
Thanks dennis,
It worked but I had to do some simple modifications to get to the
ultimate format.
Now I have a list in the following format
$A
2004   200520062007200820092010
..
...
...
..
...

$AY

1967   19682000...

some columns had 365 rows and some 366. those with 365 rows had their
366 row as NA. 
Now I want to apply approx. command to interpolate 366 values to 365,
but when I apply approx command I gives out something 
which is with $x and $y, and frankly speaking it messed up everything.
Is their a way that i do it neatly without getting the format
deteriorated?


In any way, thank-you very much indeed.

Eliza

 Date: Fri, 13 Jun 2014 11:11:37 -0700
 Subject: Re: [R] data format setting
 From: djmu...@gmail.com
 To: eliza_bo...@hotmail.com
 
 Hi:
 
 Maybe something like this:
 
 library(reshape2)
 L - split(DF, DF$year)
 L2 - llply(L, function(d) dcast(d, month + day ~ year, value.var =
 discharge))
 
 Obviously untested, so caveat emptor. The idea is to use the dcast
 function to reshape the data from long to wide format within year.
 
 Dennis
 
 On Fri, Jun 13, 2014 at 8:55 AM, eliza botto
eliza_bo...@hotmail.com wrote:
 
  Dear R family,
  I hope you all be doing great. I have a dataset of following
format. The data file is of the following format.
 
st year month day discharge
  1  A 2004 1   1  6.752828
  2  A 2004 1   2  7.602053
  3  A 2004 1   3  5.583619
  4  A 2004 1   4  5.019562
  5  A 2004 1   5  4.804489
  6  A 2004 1   6  4.363541
  7  A 2004 1   7  3.801333
  8  A 2004 1   8  3.455991
  9  A 2004 1   9  3.402634
  10 A 2004 1  10  3.250693
  ..
  ..
  continue
  ..
  ..
   st year month day discharge
  2AY 196710   3  0.56
  20001AY 196710   4  0.56
  20002AY 196710   5  0.48
  20003AY 196710   6  0.56
  20004AY 196710   7  0.48
  20005AY 196710   8  0.40
  20006AY 196710   9  0.40
  20007AY 196710  10  0.56
  20008AY 196710  11  0.56
  20009AY 196710  12  0.65
  20010AY 196710  13  0.85
 
  you can see that there are five columns.
  The first column has the name of the station. I want to split the
data w.r.t the names of the stations. Each station has data for certain
years. for example A has data for years from 2004 to 2010 and for
AY its from 1967 to 2000.similarly for other years there is data for
different number of years.
  I want to make a list of matrices each containing the data for that
station in the following format
  $A
  2004200520062007200820092010
  ..
  ...
  ...
  ..
  ...
 
  $AY
 
  196719682000
 
  each column should have 365 to 366 values depending on whether
there is a leap year or not. obviously for non-leap years 366th row
should be an NA.
  kindly help me on it.
  Thankyou very much in advance.
  Eliza
 
 
  [[alternative HTML version deleted]]
 
  __
  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.
 
   [[alternative HTML version deleted]]

__
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.

__
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] data format setting

2014-06-13 Thread Frede Aakmann Tøgersen
Hi Eliza

To me it seems like that you're not thinking before you messing about with the 
data before an analysis.

The years with data for 366 days is leap years. It happens every fourth year 
and the extra day falls on the 29th of februar. I guess it is the results from 
the dcast function that screws things up to make you believe that it's day 
number 366.

The best thing to do is to do your analysis on the complete data with some 
missing values for February 29th between leap years.

Or you can discard the leap year day for leap years and do the analysis for all 
years of 365 days.

What is the rationale by imputing missing data using the approx function? I 
mean the no leap year has only 365 days.

If you for some unknown reasons you want to fill in value for the NAs one 
natural way is to substitute the NAs on February 29th by the mean of the 
values on February 28th and Marts 1st. I think there is a na.approx function 
for that in some package (perhaps zoo). Other metods are available in R: google 
for R + impute.

Best Regards

Frede

Sendt fra Samsung mobil


 Oprindelig meddelelse 
Fra: eliza botto
Dato:13/06/2014 20.48 (GMT+01:00)
Til: r-help@r-project.org
Emne: Re: [R] data format setting

Thanks dennis,
It worked but I had to do some simple modifications to get to the ultimate 
format.
Now I have a list in the following format
$A
2004200520062007200820092010
..
...
...
..
...

$AY

196719682000...

some columns had 365 rows and some 366. those with 365 rows had their 366 row 
as NA.
Now I want to apply approx. command to interpolate 366 values to 365, but when 
I apply approx command I gives out something
which is with $x and $y, and frankly speaking it messed up everything.
Is their a way that i do it neatly without getting the format deteriorated?


In any way, thank-you very much indeed.

Eliza

 Date: Fri, 13 Jun 2014 11:11:37 -0700
 Subject: Re: [R] data format setting
 From: djmu...@gmail.com
 To: eliza_bo...@hotmail.com

 Hi:

 Maybe something like this:

 library(reshape2)
 L - split(DF, DF$year)
 L2 - llply(L, function(d) dcast(d, month + day ~ year, value.var =
 discharge))

 Obviously untested, so caveat emptor. The idea is to use the dcast
 function to reshape the data from long to wide format within year.

 Dennis

 On Fri, Jun 13, 2014 at 8:55 AM, eliza botto eliza_bo...@hotmail.com wrote:
 
  Dear R family,
  I hope you all be doing great. I have a dataset of following format. The 
  data file is of the following format.
 
st year month day discharge
  1  A 2004 1   1  6.752828
  2  A 2004 1   2  7.602053
  3  A 2004 1   3  5.583619
  4  A 2004 1   4  5.019562
  5  A 2004 1   5  4.804489
  6  A 2004 1   6  4.363541
  7  A 2004 1   7  3.801333
  8  A 2004 1   8  3.455991
  9  A 2004 1   9  3.402634
  10 A 2004 1  10  3.250693
  ..
  ..
  continue
  ..
  ..
   st year month day discharge
  2AY 196710   3  0.56
  20001AY 196710   4  0.56
  20002AY 196710   5  0.48
  20003AY 196710   6  0.56
  20004AY 196710   7  0.48
  20005AY 196710   8  0.40
  20006AY 196710   9  0.40
  20007AY 196710  10  0.56
  20008AY 196710  11  0.56
  20009AY 196710  12  0.65
  20010AY 196710  13  0.85
 
  you can see that there are five columns.
  The first column has the name of the station. I want to split the data 
  w.r.t the names of the stations. Each station has data for certain years. 
  for example A has data for years from 2004 to 2010 and for AY its from 
  1967 to 2000.similarly for other years there is data for different number 
  of years.
  I want to make a list of matrices each containing the data for that station 
  in the following format
  $A
  2004200520062007200820092010
  ..
  ...
  ...
  ..
  ...
 
  $AY
 
  196719682000
 
  each column should have 365 to 366 values depending on whether there is a 
  leap year or not. obviously for non-leap years 366th row should be an NA.
  kindly help me on it.
  Thankyou very much in advance.
  Eliza
 
 
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Re: [R] data format

2013-02-20 Thread arun
Hi elisa,
Try this:


mat1-matrix(signif(c(1.200407,1.861941,1.560613,2.129241,2.047772,1.784105,1.777159,1.988596,2.163199,2.446993,3.593623,5.706672),digits=3),ncol=1)
 list1- list(mat1,mat1,mat1)

list2-lapply(list1,function(x) 
data.frame(date1=format(seq.Date(as.Date(1911.01.01,format=%Y.%m.%d),by=month,length.out=12),format=%Y.%m.%d),value=x,stringsAsFactors=FALSE))
list3- lapply(list2,function(x){ substr(x[,1],6,6)- 
ifelse(substr(x[,1],6,6)==0, ,substr(x[,1],6,6));substr(x[,1],9,9)- 
ifelse(substr(x[,1],9,9)==0, ,substr(x[,1],9,9));x})
list4- lapply(list3,function(x) 
{x[,2]-sprintf(%.2f,x[,2]);data.frame(col1=c(EXACT DATA,FROM 1911 1 1 TO 
1911 12 1,do.call(paste,x)),stringsAsFactors=FALSE)}) 


 list4[[1]]
# col1
#1  EXACT DATA
#2  FROM 1911 1 1 TO 1911 12 1
#3 1911. 1. 1 1.20
#4 1911. 2. 1 1.86
#5 1911. 3. 1 1.56
#6 1911. 4. 1 2.13
#7 1911. 5. 1 2.05
#8 1911. 6. 1 1.78
#9 1911. 7. 1 1.78
#10    1911. 8. 1 1.99
#11    1911. 9. 1 2.16
#12    1911.10. 1 2.45
#13    1911.11. 1 3.59
#14    1911.12. 1 5.71

A.K.



From: eliza botto eliza_bo...@hotmail.com
To: smartpink...@yahoo.com smartpink...@yahoo.com 
Sent: Wednesday, February 20, 2013 8:25 AM
Subject: RE: data format




Dear Arun,
i have a slight inquiry, and i hope you wont mind
if i have a list of 124 like the following


[[1]]
          [,1]
 [1,] 1.200407
 [2,] 1.861941
 [3,] 1.560613
 [4,] 2.129241
 [5,] 2.047772
 [6,] 1.784105
 [7,] 1.777159
 [8,] 1.988596
 [9,] 2.163199
[10,] 2.446993
[11,] 3.593623
[12,] 5.706672

and i want them all in the following manner

[[1]]
EXACT DATA
FROM 1911 1 1 TO 1911 12 1
1911. 1. 1    1.20
1911. 2. 1    1.86
1911. 3. 1    1.56
1911. 4. 1    2.12
1911. 5. 1    2.04
1911. 6. 1    1.78
1911. 7. 1    1.77
1911. 8. 1    1.98
1911. 9. 1    2.16
1911.10. 1    2.44
1911.11. 1    3.59
1911.12. 1    5.70

date pattern should be same as before and
the following two line should be inserted on the top of every list
EXACT DATA
FROM 1911 1 1 TO 1911 12 1

thankyou so very much in advance. i hope you wont my frequent questions

elisa


 Date: Tue, 19 Feb 2013 08:18:25 -0800
 From: smartpink...@yahoo.com
 Subject: Re: data format
 To: eliza_bo...@hotmail.com
 
 
 
 Hi Elisa,
 No problem.
 Arun
 
 
 
 
 
 From: eliza botto eliza_bo...@hotmail.com
 To: smartpink...@yahoo.com smartpink...@yahoo.com 
 Sent: Tuesday, February 19, 2013 11:10 AM
 Subject: RE: data format
 
 
 
 Thanks arun. it worked!!
 i am so glad
 
 elisa
 
 
  Date: Tue, 19 Feb 2013 07:22:20 -0800
  From: smartpink...@yahoo.com
  Subject: Re: data format
  To: eliza_bo...@hotmail.com
  CC: r-help@r-project.org
  
  Hi,
  Try this:
  el- read.csv(el.csv,header=TRUE,sep=\t,stringsAsFactors=FALSE)
   elsplit- split(el,el$st)
   
  datetrial-data.frame(date1=seq.Date(as.Date(1930.1.1,format=%Y.%m.%d),as.Date(2010.12.31,format=%Y.%m.%d),by=day))
  elsplit1- lapply(elsplit,function(x) 
  data.frame(date1=as.Date(paste(x[,2],x[,3],x[,4],sep=-),format=%Y-%m-%d),discharge=x[,5]))
   elsplit2-lapply(elsplit1,function(x) x[order(x[,1]),])
  library(plyr)
  elsplit3-lapply(elsplit2,function(x) 
  join(datetrial,x,by=date1,type=full))
   elsplit4-lapply(elsplit3,function(x) {x[,2][is.na(x[,2])]- 
  -.000;x})
  elsplit5-lapply(elsplit4,function(x) {x[,1]-format(x[,1],%Y.%m.%d);x})
  elsplit6-lapply(elsplit5,function(x){substr(x[,1],6,6)-ifelse(substr(x[,1],6,6)==0,
   ,substr(x[,1],6,6));substr(x[,1],9,9)- ifelse(substr(x[,1],9,9)==0, 
  ,substr(x[,1],9,9));x})
   elsplit6[[1]][1:4,]
  #   date1 discharge
  #1 1930. 1. 1 -.000
  #2 1930. 1. 2 -.000
  #3 1930. 1. 3 -.000
  #4 1930. 1. 4 -.000
  
   length(elsplit6)
  #[1] 124
   tail(elsplit6[[124]],25)
  #   date1 discharge
  #29561 2010.12. 7 -.000
  #29562 2010.12. 8 -.000
  #29563 2010.12. 9 -.000
  #29564 2010.12.10 -.000
  #29565 2010.12.11 -.000
  #29566 2010.12.12 -.000
  #29567 2010.12.13 -.000
  #29568 2010.12.14 -.000
  #29569 2010.12.15 -.000
  #29570 2010.12.16 -.000
  #29571 2010.12.17 -.000
  #29572 2010.12.18 -.000
  #29573 2010.12.19 -.000
  #29574 2010.12.20 -.000
  #29575 2010.12.21 -.000
  #29576 2010.12.22 -.000
  #29577 2010.12.23 -.000
  #29578 2010.12.24 -.000
  #29579 2010.12.25 -.000
  #29580 2010.12.26 -.000
  #29581 2010.12.27 -.000
  #29582 2010.12.28 -.000
  #29583 2010.12.29 -.000
  #29584 2010.12.30 -.000
  #29585 2010.12.31 -.000
  
   str(head(elsplit6,3))
  #List of 3
  # $ AGOMO:'data.frame':    29585 obs. of  2 variables:
   # ..$ date1    : chr [1:29585] 1930. 1. 1 1930. 1. 2 1930. 1. 3 
  1930. 1. 4 ...
    #..$ discharge: chr [1:29585] -.000 -.000 -.000 
  -.000 ...
   #$ AGONO:'data.frame':    29585 obs. of  2 

Re: [R] data format

2013-02-19 Thread arun
Hi,
Try this:
el- read.csv(el.csv,header=TRUE,sep=\t,stringsAsFactors=FALSE)
 elsplit- split(el,el$st)
 
datetrial-data.frame(date1=seq.Date(as.Date(1930.1.1,format=%Y.%m.%d),as.Date(2010.12.31,format=%Y.%m.%d),by=day))
elsplit1- lapply(elsplit,function(x) 
data.frame(date1=as.Date(paste(x[,2],x[,3],x[,4],sep=-),format=%Y-%m-%d),discharge=x[,5]))
 elsplit2-lapply(elsplit1,function(x) x[order(x[,1]),])
library(plyr)
elsplit3-lapply(elsplit2,function(x) join(datetrial,x,by=date1,type=full))
 elsplit4-lapply(elsplit3,function(x) {x[,2][is.na(x[,2])]- -.000;x})
elsplit5-lapply(elsplit4,function(x) {x[,1]-format(x[,1],%Y.%m.%d);x})
elsplit6-lapply(elsplit5,function(x){substr(x[,1],6,6)-ifelse(substr(x[,1],6,6)==0,
 ,substr(x[,1],6,6));substr(x[,1],9,9)- ifelse(substr(x[,1],9,9)==0, 
,substr(x[,1],9,9));x})
 elsplit6[[1]][1:4,]
#   date1 discharge
#1 1930. 1. 1 -.000
#2 1930. 1. 2 -.000
#3 1930. 1. 3 -.000
#4 1930. 1. 4 -.000

 length(elsplit6)
#[1] 124
 tail(elsplit6[[124]],25)
#   date1 discharge
#29561 2010.12. 7 -.000
#29562 2010.12. 8 -.000
#29563 2010.12. 9 -.000
#29564 2010.12.10 -.000
#29565 2010.12.11 -.000
#29566 2010.12.12 -.000
#29567 2010.12.13 -.000
#29568 2010.12.14 -.000
#29569 2010.12.15 -.000
#29570 2010.12.16 -.000
#29571 2010.12.17 -.000
#29572 2010.12.18 -.000
#29573 2010.12.19 -.000
#29574 2010.12.20 -.000
#29575 2010.12.21 -.000
#29576 2010.12.22 -.000
#29577 2010.12.23 -.000
#29578 2010.12.24 -.000
#29579 2010.12.25 -.000
#29580 2010.12.26 -.000
#29581 2010.12.27 -.000
#29582 2010.12.28 -.000
#29583 2010.12.29 -.000
#29584 2010.12.30 -.000
#29585 2010.12.31 -.000

 str(head(elsplit6,3))
#List of 3
# $ AGOMO:'data.frame':    29585 obs. of  2 variables:
 # ..$ date1    : chr [1:29585] 1930. 1. 1 1930. 1. 2 1930. 1. 3 1930. 
1. 4 ...
  #..$ discharge: chr [1:29585] -.000 -.000 -.000 -.000 
...
 #$ AGONO:'data.frame':    29585 obs. of  2 variables:
  #..$ date1    : chr [1:29585] 1930. 1. 1 1930. 1. 2 1930. 1. 3 1930. 
1. 4 ...
  #..$ discharge: chr [1:29585] -.000 -.000 -.000 -.000 
...
 #$ ANZMA:'data.frame':    29585 obs. of  2 variables:
  #..$ date1    : chr [1:29585] 1930. 1. 1 1930. 1. 2 1930. 1. 3 1930. 
1. 4 ...
  #..$ discharge: chr [1:29585] -.000 -.000 -.000 -.000 
...


Regarding the space between date1 and discharge, I haven't checked it as you 
didn't mention whether it is needed in data.frame or not.

A.K.







From: eliza botto eliza_bo...@hotmail.com
To: smartpink...@yahoo.com smartpink...@yahoo.com 
Sent: Tuesday, February 19, 2013 10:01 AM
Subject: RE:



THANKS ARUN..
ITS A CHARACTER
SORRY FOR NOT TELLING YOU IN ADVANCE

ELISA


 Date: Tue, 19 Feb 2013 07:00:03 -0800
 From: smartpink...@yahoo.com
 Subject: Re: 
 To: eliza_bo...@hotmail.com
 
 
 
 Hi,
 One more doubt.
 You mentioned about -.000.  Is it going to be a number or character like 
 -.000?  If it is a number, the final product will be -.
 Arun
 
 
 
 
 
 From: eliza botto eliza_bo...@hotmail.com
 To: smartpink...@yahoo.com smartpink...@yahoo.com 
 Sent: Tuesday, February 19, 2013 9:16 AM
 Subject: RE:
 
 
 
 How can u be wrong arun?? you are right.
 
 elisa
 
 
  Date: Tue, 19 Feb 2013 06:15:31 -0800
  From: smartpink...@yahoo.com
  Subject: Re: 
  To: eliza_bo...@hotmail.com
  
  Hi Elisa,
  
  Just a doubt regarding the format of the date.  Is it the same format as 
  the previous one?  0 replaced by one space if either month or day is less 
  than 10.  Also, if I am correct, the list elements are for the different 
  stationname, right?
  Arun
  
  
  
  
  
  
  
  
  
  From: eliza botto eliza_bo...@hotmail.com
  To: smartpink...@yahoo.com smartpink...@yahoo.com 
  Sent: Tuesday, February 19, 2013 8:35 AM
  Subject: 
  
  
  
  
  
  Dear Arun,
  [Text file is also attached if format is changed, where as el is data file
  Attached with email is the excel file with contains the data. the data is 
  following form
  
  col1.    col2. col3.col4.col5.
  stationname year month day discharge
  A         2004 11232
  A          2004 1 2 334
  .
  
  B         2009 11       323
  B                       2009 12332
  
  
  There are stations where data starts from and ends at different years but i 
  want each year to start from 1930 and ends at 2010 with -.000 for those 
  days when data is missing. i want to make a list which should appear like 
  the following
  
  [[A]]
  1930. 1. 1 -.000
  1930. 1. 2 -.000
  1930. 1. 3 -.000
  1930. 1. 4 -.000
  1930. 1. 5 -.000
  1930. 1. 6 -.000
  1930. 1. 7 -.000
  1930. 1. 8 -.000
  1930. 1. 9 -.000
  1930. 1.10 -.000
  1930. 1.11 -.000
  1930. 1.12 -.000
  1930. 1.13 -.000
  

[R] data format for ordination

2012-01-27 Thread Cathy Fiedler
Hello,

I want to do an unconstrained ordination to look at my plant community data
but don't know how to account for the fact I have multiple visits per site.
 Do I need to look at each month separately?
My data set is of 30 field sites that I visited 5 times in the year and the
abundance of each plant species is in each column;

sitemonthspecies aspecies b species c ...etc
1   may 1   0 7
1   june 5   0 9
1   july  2   8 0
1   aug 12  6 0
1   sept14  5 0

2may
2etc

(I have additional environmental data for later analyses)

Also, is there much difference between analysis in Canoco and R?

Thanks
Cathy

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[R] data format

2011-07-07 Thread albert coster
Dear all,

I have a input file like following :

T
TTTAG
TTAAC
GGATT
ACGTA

How can I make a single vector with this like
following: AGTTAACGGATTACGTA

Best regards

Albert

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Re: [R] data format

2011-07-07 Thread Rainer M Krug
On Thu, Jul 7, 2011 at 4:37 PM, albert coster albertcoster2...@gmail.comwrote:

 Dear all,

 I have a input file like following :

 T
 TTTAG
 TTAAC
 GGATT
 ACGTA

 How can I make a single vector with this like
 following: AGTTAACGGATTACGTA


?paste, specifically the collapse argument

Rainer



 Best regards

 Albert

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 http://www.R-project.org/posting-guide.html
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-- 
Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology,
UCT), Dipl. Phys. (Germany)

Centre of Excellence for Invasion Biology
Stellenbosch University
South Africa

Tel :   +33 - (0)9 53 10 27 44
Cell:   +33 - (0)6 85 62 59 98
Fax (F):   +33 - (0)9 58 10 27 44

Fax (D):+49 - (0)3 21 21 25 22 44

email:  rai...@krugs.de

Skype:  RMkrug

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Re: [R] data format

2011-07-07 Thread jim holtman
 x - readLines(textConnection(T
+ TTTAG
+ TTAAC
+ GGATT
+ ACGTA))
 closeAllConnections()
 paste(x, collapse = '')
[1] AGTTAACGGATTACGTA



On Thu, Jul 7, 2011 at 10:37 AM, albert coster
albertcoster2...@gmail.com wrote:
 Dear all,

 I have a input file like following :

 T
 TTTAG
 TTAAC
 GGATT
 ACGTA

 How can I make a single vector with this like
 following: AGTTAACGGATTACGTA

 Best regards

 Albert

        [[alternative HTML version deleted]]

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 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.




-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?

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[R] Data format question for triangle.plot package ade4

2010-07-09 Thread Steve_Friedman


hello,

I am trying to develop a triangle plot but am having difficultly assigning
the row.names to the 3 columns in the data.frame

Here is what I've done,

attach(SoilVegHydro)

dim(SoilVegHydro)
129239

# now  take 3 variables from main data.frame for plotting

dat - cbind.data.frame(TP, meanAnnualDepthAve, BulkDensity)  #  These are
variables held in the data frame SoilVegHydro

row.names(dat) - paste(row.names(SoilVegHydro$Physiogomy), rep(c(1,2,3),
rep(1292, 3)), sep = )  # following the syntax from the help
triangle.plot page

this is returned when the last line is submitted.

row.names(dat) - paste(row.names(SoilVegHydro$Physiogomy), rep(c(1,2,3),
rep(1292,3)), sep=)
Error in `row.names-.data.frame`(`*tmp*`, value = c(1, 1, 1, 1,  :
  invalid 'row.names' length

I'm not certain how to define the row.names .  If anyone can help I'd
appreciate it.

I'm using R 2.11.1 (2010-5-31) on Windows XP

Thanks
Steve


Steve Friedman Ph. D.
Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034

steve_fried...@nps.gov
Office (305) 224 - 4282
Fax (305) 224 - 4147

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Re: [R] Data format question for triangle.plot package ade4

2010-07-09 Thread David Winsemius


On Jul 8, 2010, at 4:41 PM, steve_fried...@nps.gov wrote:




hello,

I am trying to develop a triangle plot but am having difficultly  
assigning

the row.names to the 3 columns in the data.frame

Here is what I've done,

attach(SoilVegHydro)

dim(SoilVegHydro)
129239

# now  take 3 variables from main data.frame for plotting

dat - cbind.data.frame(TP, meanAnnualDepthAve, BulkDensity)  #   
These are

variables held in the data frame SoilVegHydro


Did that dat object have what you wanted? The function call did not  
make any reference to SoilVegHydro. What does str(dat) return? Oh,  
never mind, I now see you use attach.




row.names(dat) - paste(row.names(SoilVegHydro$Physiogomy),


Generally row.names is used on a dataframe rather than on a column  
vector.


 dat - data.frame(1:3, LETTERS[1:3])
 row.names(dat$X1)
 row.names(dat)
[1] 1 2 3
 length(row.names(dat$X1))
[1] 0



rep(c(1,2,3),
rep(1292, 3)), sep = )  # following the syntax from the help
triangle.plot page

this is returned when the last line is submitted.

row.names(dat) - paste(row.names(SoilVegHydro$Physiogomy),  
rep(c(1,2,3),

rep(1292,3)), sep=)
Error in `row.names-.data.frame`(`*tmp*`, value = c(1, 1, 1,  
1,  :

 invalid 'row.names' length

I'm not certain how to define the row.names .  If anyone can help I'd
appreciate it.

I'm using R 2.11.1 (2010-5-31) on Windows XP

Thanks
Steve


Steve Friedman Ph. D.
Spatial Statistical Analyst
Everglades and Dry Tortugas National Park
950 N Krome Ave (3rd Floor)
Homestead, Florida 33034

steve_fried...@nps.gov
Office (305) 224 - 4282
Fax (305) 224 - 4147

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David Winsemius, MD
West Hartford, CT

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Re: [R] Data format for KSVM

2009-10-24 Thread Uwe Ligges



Noah Silverman wrote:

Hi,

I have a process using svm from the e1071 library. 


It's called a *package* which is probably installed in a *library* of 
packages.




it works.

I want to try using the KSVM library instead.  The same data used wiht 
e1071 gives me an error with KSVM.


I guess you are talking about the ksvm *function* in *package* kernlab 
now, right?





My data is a data.frame.

sample code:

svm_formula - formula(y ~ a + B + C)



You do not use svm_function below, do you?


svm_model - ksvm(formula, data=train_data, type=C-svc, 
kernel=rbfdot, C=1)



I get the following error:

object is not a matrix



ksvm works for me. Please specify a reproducible example (including the 
data) or give us at least the output of str(data)  and specofy which 
verions of R and kernlab you are talking about.


Uwe Ligges





So I tried this:

svm_model - ksvm(formula, data=as.matrix(train_data), type=C-svc, 
kernel=rbfdot, C=1, scaled=FALSE)


Now I get this error:
Error in model.fram.definition(data = list(v1 = c(1.1234, -2.3232:
Object is not a matrix

My data was previously scaled with the scale() function so that the mean 
is centered at 0. and the range is {-1,1}


Can anyone provide some suggestions as to why I'm getting an error?

Thanks!

-N

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[R] Data format for KSVM

2009-10-23 Thread Noah Silverman

Hi,

I have a process using svm from the e1071 library.  it works.

I want to try using the KSVM library instead.  The same data used wiht 
e1071 gives me an error with KSVM.


My data is a data.frame.

sample code:

svm_formula - formula(y ~ a + B + C)

svm_model - ksvm(formula, data=train_data, type=C-svc, 
kernel=rbfdot, C=1)


I get the following error:

object is not a matrix

So I tried this:

svm_model - ksvm(formula, data=as.matrix(train_data), type=C-svc, 
kernel=rbfdot, C=1, scaled=FALSE)


Now I get this error:
Error in model.fram.definition(data = list(v1 = c(1.1234, -2.3232:
Object is not a matrix

My data was previously scaled with the scale() function so that the mean 
is centered at 0. and the range is {-1,1}


Can anyone provide some suggestions as to why I'm getting an error?

Thanks!

-N

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[R] data format issue

2008-12-20 Thread Sherri Heck

Dear all-

I have a dataset (see a sample below - but the whole dataset is June 
2005 - June 2008).  The LST format is YYMMDDHHmm and I would like to 
get the hourly average of the mph for the summer months (spanning all 
years). I have been trying to use aggregate but am not having much 
success at all!  any thoughts would be greatly appreciated.


thanks-

sherri

   LST   inch mphDeg   DegF  DegF%volts   Degmph   
w/m2
050601   0.00   13.6  218.1   36.8   -999   65.1   -999   -999   
18.20.2
0506010005   0.00   12.9  214.3   36.8   -999   65.5   -999   -999   
16.90.2
0506010010   0.00   14.4  215.7   36.9   -999   65.4   -999   -999   
20.40.2
0506010015   0.00   13.8  215.8   36.8   -999   65.7   -999   -999   
19.70.3
0506010020   0.00   11.9  213.4   36.8   -999   65.6   -999   -999   
14.60.2
0506010025   0.00   12.7  212.4   36.8   -999   65.4   -999   -999   
16.90.2
0506010030   0.00   14.1  215.8   36.8   -999   65.9   -999   -999   
19.10.2
0506010035   0.00   14.8  217.2   36.7   -999   66.2   -999   -999   
20.40.2
0506010040   0.00   16.2  222.0   36.8   -999   66.6   -999   -999   
20.20.2
0506010045   0.00   13.6  219.5   36.7   -999   66.6   -999   -999   
18.40.2
0506010050   0.00   14.8  217.6   36.7   -999   66.2   -999   -999   
20.00.2
0506010055   0.00   13.1  214.8   36.7   -999   65.9   -999   -999   
20.20.2
0506010100   0.00   12.2  214.3   36.7   -999   65.2   -999   -999   
15.60.2
0506010105   0.00   14.2  207.8   36.7   -999   65.0   -999   -999   
19.90.2
0506010110   0.00   15.4  207.0   36.7   -999   64.4   -999   -999   
20.20.2
0506010115   0.00   17.2  205.9   36.7   -999   64.5   -999   -999   
22.10.2
0506010120   0.00   16.8  208.9   36.8   -999   65.0   -999   -999   
21.90.2
0506010125   0.00   18.4  214.0   36.9   -999   65.1   -999   -999   
26.40.2
0506010130   0.00   17.3  214.7   37.0   -999   65.5   -999   -999   
24.00.2
0506010135   0.00   18.4  214.3   37.1   -999   65.2   -999   -999   
24.90.2
0506010140   0.00   19.6  216.6   37.3   -999   65.3   -999   -999   
26.70.2
0506010145   0.00   19.7  220.5   37.5   -999   65.1   -999   -999   
27.50.2
0506010150   0.00   19.6  215.5   37.6   -999   64.6   -999   -999   
26.40.2
0506010155   0.00   21.8  220.1   37.8   -999   64.1   -999   -999   
31.20.2
0506010200   0.00   23.4  222.9   37.9   -999   63.8   -999   -999   
31.80.2
0506010205   0.00   24.0  221.7   37.9   -999   63.7   -999   -999   
30.30.2
0506010210   0.00   24.2  223.4   38.0   -999   63.5   -999   -999   
28.20.2
0506010215   0.00   23.8  224.9   38.0   -999   63.4   -999   -999   
30.30.2
0506010220   0.00   23.9  225.1   38.1   -999   63.5   -999   -999   
29.50.2
0506010225   0.00   23.9  227.4   38.1   -999   63.5   -999   -999   
30.30.2
0506010230   0.00   23.9  226.0   38.0   -999   63.6   -999   -999   
27.50.2
0506010235   0.00   21.5  221.4   38.0   -999   63.7   -999   -999   
28.40.2
0506010240   0.00   22.3  222.6   37.9   -999   63.8   -999   -999   
27.90.2
0506010245   0.00   21.5  223.9   37.9   -999   64.0   -999   -999   
28.40.2
0506010250   0.00   22.2  226.7   37.8   -999   64.2   -999   -999   
27.70.2
0506010255   0.00   21.9  223.5   37.8   -999   64.3   -999   -999   
26.90.2
0506010300   0.00   22.0  223.2   37.7   -999   64.3   -999   -999   
28.00.2


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Re: [R] data format issue

2008-12-20 Thread jim holtman
Does this do it for you:

 # quick and dirty -- remove the 'mm' from the data and then aggregate
 x$hours - (x$LST %/% 100) * 100
 aggregate(x$mph, list(x$hours), mean)
Group.1x
1 50601 13.82500
2 506010100 17.55000
3 506010200 23.04167
4 506010300 22.0



You can also 'filter' out the months for only the summer

On Sat, Dec 20, 2008 at 9:09 PM, Sherri Heck sh...@ucar.edu wrote:
 Dear all-

 I have a dataset (see a sample below - but the whole dataset is June 2005 -
 June 2008).  The LST format is YYMMDDHHmm and I would like to get the
 hourly average of the mph for the summer months (spanning all years). I
 have been trying to use aggregate but am not having much success at all!
  any thoughts would be greatly appreciated.

 thanks-

 sherri

   LST   inch mphDeg   DegF  DegF%volts   Degmph   w/m2
 050601   0.00   13.6  218.1   36.8   -999   65.1   -999   -999   18.2
  0.2
 0506010005   0.00   12.9  214.3   36.8   -999   65.5   -999   -999   16.9
  0.2
 0506010010   0.00   14.4  215.7   36.9   -999   65.4   -999   -999   20.4
  0.2
 0506010015   0.00   13.8  215.8   36.8   -999   65.7   -999   -999   19.7
  0.3
 0506010020   0.00   11.9  213.4   36.8   -999   65.6   -999   -999   14.6
  0.2
 0506010025   0.00   12.7  212.4   36.8   -999   65.4   -999   -999   16.9
  0.2
 0506010030   0.00   14.1  215.8   36.8   -999   65.9   -999   -999   19.1
  0.2
 0506010035   0.00   14.8  217.2   36.7   -999   66.2   -999   -999   20.4
  0.2
 0506010040   0.00   16.2  222.0   36.8   -999   66.6   -999   -999   20.2
  0.2
 0506010045   0.00   13.6  219.5   36.7   -999   66.6   -999   -999   18.4
  0.2
 0506010050   0.00   14.8  217.6   36.7   -999   66.2   -999   -999   20.0
  0.2
 0506010055   0.00   13.1  214.8   36.7   -999   65.9   -999   -999   20.2
  0.2
 0506010100   0.00   12.2  214.3   36.7   -999   65.2   -999   -999   15.6
  0.2
 0506010105   0.00   14.2  207.8   36.7   -999   65.0   -999   -999   19.9
  0.2
 0506010110   0.00   15.4  207.0   36.7   -999   64.4   -999   -999   20.2
  0.2
 0506010115   0.00   17.2  205.9   36.7   -999   64.5   -999   -999   22.1
  0.2
 0506010120   0.00   16.8  208.9   36.8   -999   65.0   -999   -999   21.9
  0.2
 0506010125   0.00   18.4  214.0   36.9   -999   65.1   -999   -999   26.4
  0.2
 0506010130   0.00   17.3  214.7   37.0   -999   65.5   -999   -999   24.0
  0.2
 0506010135   0.00   18.4  214.3   37.1   -999   65.2   -999   -999   24.9
  0.2
 0506010140   0.00   19.6  216.6   37.3   -999   65.3   -999   -999   26.7
  0.2
 0506010145   0.00   19.7  220.5   37.5   -999   65.1   -999   -999   27.5
  0.2
 0506010150   0.00   19.6  215.5   37.6   -999   64.6   -999   -999   26.4
  0.2
 0506010155   0.00   21.8  220.1   37.8   -999   64.1   -999   -999   31.2
  0.2
 0506010200   0.00   23.4  222.9   37.9   -999   63.8   -999   -999   31.8
  0.2
 0506010205   0.00   24.0  221.7   37.9   -999   63.7   -999   -999   30.3
  0.2
 0506010210   0.00   24.2  223.4   38.0   -999   63.5   -999   -999   28.2
  0.2
 0506010215   0.00   23.8  224.9   38.0   -999   63.4   -999   -999   30.3
  0.2
 0506010220   0.00   23.9  225.1   38.1   -999   63.5   -999   -999   29.5
  0.2
 0506010225   0.00   23.9  227.4   38.1   -999   63.5   -999   -999   30.3
  0.2
 0506010230   0.00   23.9  226.0   38.0   -999   63.6   -999   -999   27.5
  0.2
 0506010235   0.00   21.5  221.4   38.0   -999   63.7   -999   -999   28.4
  0.2
 0506010240   0.00   22.3  222.6   37.9   -999   63.8   -999   -999   27.9
  0.2
 0506010245   0.00   21.5  223.9   37.9   -999   64.0   -999   -999   28.4
  0.2
 0506010250   0.00   22.2  226.7   37.8   -999   64.2   -999   -999   27.7
  0.2
 0506010255   0.00   21.9  223.5   37.8   -999   64.3   -999   -999   26.9
  0.2
 0506010300   0.00   22.0  223.2   37.7   -999   64.3   -999   -999   28.0
  0.2

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-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem that you are trying to solve?

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Re: [R] data format issue

2008-12-20 Thread Gabor Grothendieck
Use read.zoo and aggregate.zoo from zoo and
months, hours and as.chron from chron.
Note that we must read in col 1 as character to ensure leading
zeros don't get dropped.  There are two mph columns and it is
assumed you want both:

Lines -  LST   inch mphDeg   DegF  DegF%volts   Deg
  mph   w/m2
050601   0.00   13.6  218.1   36.8   -999   65.1   -999   -999   18.20.2
0506010005   0.00   12.9  214.3   36.8   -999   65.5   -999   -999   16.90.2
0506010010   0.00   14.4  215.7   36.9   -999   65.4   -999   -999   20.40.2
0506010015   0.00   13.8  215.8   36.8   -999   65.7   -999   -999   19.70.3
0506010020   0.00   11.9  213.4   36.8   -999   65.6   -999   -999   14.60.2
0506010025   0.00   12.7  212.4   36.8   -999   65.4   -999   -999   16.90.2
0506010030   0.00   14.1  215.8   36.8   -999   65.9   -999   -999   19.10.2
0506010035   0.00   14.8  217.2   36.7   -999   66.2   -999   -999   20.40.2
0506010040   0.00   16.2  222.0   36.8   -999   66.6   -999   -999   20.20.2
0506010045   0.00   13.6  219.5   36.7   -999   66.6   -999   -999   18.40.2
0506010050   0.00   14.8  217.6   36.7   -999   66.2   -999   -999   20.00.2
0506010055   0.00   13.1  214.8   36.7   -999   65.9   -999   -999   20.20.2
0506010100   0.00   12.2  214.3   36.7   -999   65.2   -999   -999   15.60.2
0506010105   0.00   14.2  207.8   36.7   -999   65.0   -999   -999   19.90.2
0506010110   0.00   15.4  207.0   36.7   -999   64.4   -999   -999   20.20.2
0506010115   0.00   17.2  205.9   36.7   -999   64.5   -999   -999   22.10.2
0506010120   0.00   16.8  208.9   36.8   -999   65.0   -999   -999   21.90.2
0506010125   0.00   18.4  214.0   36.9   -999   65.1   -999   -999   26.40.2
0506010130   0.00   17.3  214.7   37.0   -999   65.5   -999   -999   24.00.2
0506010135   0.00   18.4  214.3   37.1   -999   65.2   -999   -999   24.90.2
0506010140   0.00   19.6  216.6   37.3   -999   65.3   -999   -999   26.70.2
0506010145   0.00   19.7  220.5   37.5   -999   65.1   -999   -999   27.50.2
0506010150   0.00   19.6  215.5   37.6   -999   64.6   -999   -999   26.40.2
0506010155   0.00   21.8  220.1   37.8   -999   64.1   -999   -999   31.20.2
0506010200   0.00   23.4  222.9   37.9   -999   63.8   -999   -999   31.80.2
0506010205   0.00   24.0  221.7   37.9   -999   63.7   -999   -999   30.30.2
0506010210   0.00   24.2  223.4   38.0   -999   63.5   -999   -999   28.20.2
0506010215   0.00   23.8  224.9   38.0   -999   63.4   -999   -999   30.30.2
0506010220   0.00   23.9  225.1   38.1   -999   63.5   -999   -999   29.50.2
0506010225   0.00   23.9  227.4   38.1   -999   63.5   -999   -999   30.30.2
0506010230   0.00   23.9  226.0   38.0   -999   63.6   -999   -999   27.50.2
0506010235   0.00   21.5  221.4   38.0   -999   63.7   -999   -999   28.40.2
0506010240   0.00   22.3  222.6   37.9   -999   63.8   -999   -999   27.90.2
0506010245   0.00   21.5  223.9   37.9   -999   64.0   -999   -999   28.40.2
0506010250   0.00   22.2  226.7   37.8   -999   64.2   -999   -999   27.70.2
0506010255   0.00   21.9  223.5   37.8   -999   64.3   -999   -999   26.90.2
0506010300   0.00   22.0  223.2   37.7   -999   64.3   -999   -999
28.00.2

library(zoo)
library(chron)

z - read.zoo(textConnection(Lines), header = TRUE, na.strings = -999,
format = %y%m%d%H%M, FUN = as.chron,
colClasses = c(character, rep(numeric, 10)))

mph - z[months(time(z)) %in% c(Jun, Jul, Aug), grep(mph, colnames(z))]
aggregate(mph, hours, mean)


On Sat, Dec 20, 2008 at 9:09 PM, Sherri Heck sh...@ucar.edu wrote:
 Dear all-

 I have a dataset (see a sample below - but the whole dataset is June 2005 -
 June 2008).  The LST format is YYMMDDHHmm and I would like to get the
 hourly average of the mph for the summer months (spanning all years). I
 have been trying to use aggregate but am not having much success at all!
  any thoughts would be greatly appreciated.

 thanks-

 sherri

   LST   inch mphDeg   DegF  DegF%volts   Degmph   w/m2
 050601   0.00   13.6  218.1   36.8   -999   65.1   -999   -999   18.2
  0.2
 0506010005   0.00   12.9  214.3   36.8   -999   65.5   -999   -999   16.9
  0.2
 0506010010   0.00   14.4  215.7   36.9   -999   65.4   -999   -999   20.4
  0.2
 0506010015   0.00   13.8  215.8   36.8   -999   65.7   -999   -999   19.7
  0.3
 0506010020   0.00   11.9  213.4   36.8   -999   65.6   -999   -999   14.6
  0.2
 0506010025   0.00   12.7  212.4   36.8   -999   65.4   -999   -999   16.9
  0.2
 0506010030   0.00   14.1  215.8   36.8   -999   65.9   -999   -999   19.1
  0.2
 0506010035   0.00   14.8  217.2   36.7   -999   66.2   -999   -999   20.4
  0.2
 0506010040   0.00   16.2  222.0   36.8   -999   66.6   -999   -999   20.2
  0.2
 0506010045   0.00   13.6  219.5   36.7   -999   66.6   -999   -999   18.4
  0.2
 0506010050   0.00   14.8  217.6   36.7   -999   66.2   -999   

Re: [R] Data format for BiodiversityR

2008-09-16 Thread margherita mutarelli
Hello,
maybe it is better if you copy an extract of your dataset file in the
message because the attached file did'nt seem to get through.


Margherita

2008/9/14 Ndoh Innocent (Holy) [EMAIL PROTECTED]

 Greetings dear friends.
 Please, I really find problems having the program read my datasets (here
 attached).
 Have converted datasets to csv, imported but always not reaching the
 target.
 Would be very happy if some one out can help me on time.
 Thanks

 Ndoh Mbue Innocent
 International corporation office
 China University of Geosciences
 388 Lumo road
 430074, Wuhan-China
 Tel: 0086 27 67885947/0086 15927262962
 A gentlemen should be truly a moral person, a straightforward and reliable
   personality,in solidarity with the community and rooted in self rescpect



 __
 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.



[[alternative HTML version deleted]]

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R-help@r-project.org mailing list
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and provide commented, minimal, self-contained, reproducible code.


[R] Data format for BiodiversityR

2008-09-14 Thread Ndoh Innocent (Holy)
Greetings dear friends.
Please, I really find problems having the program read my datasets (here 
attached).
Have converted datasets to csv, imported but always not reaching the target.
Would be very happy if some one out can help me on time.
Thanks

Ndoh Mbue Innocent 
International corporation office 
China University of Geosciences 
388 Lumo road 
430074, Wuhan-China 
Tel: 0086 27 67885947/0086 15927262962 
A gentlemen should be truly a moral person, a straightforward and reliable   
personality,in solidarity with the community and rooted in self rescpect


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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.


[R] data format

2007-10-30 Thread Emre Unal
Hi,

How can I analyze the data collected in database formatting (with labels)
rather than splitted by individual columns (almost in excel)?

For example (comma separated data);

Label,Value
Good,10
Bad,12
Good,15
Good,18
Good,12
Bad,15
Bad,10
etc...

ks.test or chisq.test can be done.
Splitting the data into new columns is not applicable cos' I'll use
R-integration in another software.



Thanks for your concern
Emre









-- 
---
Emre ÜNAL

[[alternative HTML version deleted]]

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Re: [R] data format

2007-10-30 Thread jim holtman
Here is how to read it in.  Then you can run your analysis:

 x - read.csv(textConnection(Label,Value
+ Good,10
+ Bad,12
+ Good,15
+ Good,18
+ Good,12
+ Bad,15
+ Bad,10))
 x
  Label Value
1  Good10
2   Bad12
3  Good15
4  Good18
5  Good12
6   Bad15
7   Bad10


On 10/30/07, Emre Unal [EMAIL PROTECTED] wrote:
 Hi,

 How can I analyze the data collected in database formatting (with labels)
 rather than splitted by individual columns (almost in excel)?

 For example (comma separated data);

 Label,Value
 Good,10
 Bad,12
 Good,15
 Good,18
 Good,12
 Bad,15
 Bad,10
 etc...

 ks.test or chisq.test can be done.
 Splitting the data into new columns is not applicable cos' I'll use
 R-integration in another software.



 Thanks for your concern
 Emre









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Re: [R] data format

2007-10-30 Thread Julian Burgos
There are many ways.  A simple one is to use split() to divide your 
'Value' column using your 'Label' column as index.  For example,

# Create dataset
mydata=data.frame(Label=c('Good','Bad','Good','Good','Good','Bad','Bad'),
Value=c(10,12,15,18,12,15,10))

# Split the data
mydata=split(mydata$Value,mydata$Label)

# Do a ks test
ks.test(mydata[[1]],mydata[[2]])


Julian




Emre Unal wrote:
 Hi,
 
 How can I analyze the data collected in database formatting (with labels)
 rather than splitted by individual columns (almost in excel)?
 
 For example (comma separated data);
 
 Label,Value
 Good,10
 Bad,12
 Good,15
 Good,18
 Good,12
 Bad,15
 Bad,10
 etc...
 
 ks.test or chisq.test can be done.
 Splitting the data into new columns is not applicable cos' I'll use
 R-integration in another software.
 
 
 
 Thanks for your concern
 Emre
 
 
 
 
 
 
 
 
 
 
 
 
 
 __
 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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Re: [R] Data format problem

2007-10-24 Thread Joao Santos

Hello,

First of all, thanks everyone that reply to my questions and I sorry to
spend so many time to reply.
I'm find a way to treat this problem using the zoo package:

bbrass = scan(C:/Program Files/R/data
PTIN/bbrass_client_2471_pool_72644_percent_in_use_500_NA.dat)
regts.start = ISOdatetime(2006, 7, 1, hour=0, min=0, sec=0, tz=GMT)   #2006
07 01 00
regts.end = ISOdatetime(2006, 7, 22, hour=2, min=0, sec=0, tz=GMT)#2006
07 22 02
regts.zoo - zooreg(bbrass, regts.start, regts.end, deltat=3600) #I won't
the time to the hour...
summary(regts.zoo)

 Index   regts.zoo 
 Min.   :2006-07-01 00:00:00   Min.   :48  
 1st Qu.:2006-07-06 06:15:00   1st Qu.:58  
 Median :2006-07-11 12:30:00   Median :62  
 Mean   :2006-07-11 12:30:00   Mean   :65  
 3rd Qu.:2006-07-16 18:45:00   3rd Qu.:74  
 Max.   :2006-07-22 01:00:00   Max.   :81  
   NA's   :40

Then I create a time series and the regul fuction (pastecs package) works
fine.


Thanks again for the replies,

Joao Santos



Joao Santos wrote:
 
 Hello,
 
  
 
 I problem is in the format of the date, my time series is like this:
 
 2006070100  1244 6162
 
 2006070101  1221 6060
 
 2006070102  1214 6060
 
 2006070103  1194 5959
 
 2006070104  1182 5858
 
 2006070105  1178 5858
 
 2006070106  1176 5858
 
 2006070107  1173 5858
 
 2006070108  1179 5859
 
 2006070109  1246 6162
 
 ….
 
  
 
 When I attempt to format the time like this:
 
 A - read.table(file, sep=\t, col.names=c(date, my1, my2,
 my3))
 
 temp - as.Date(A$date, format=%Y%m%d%H)
 
 temp
 
 I get
 
   [1] 4403-05-21 4403-05-22 4403-05-23 4403-05-24 4403-05-25
 
   [6] 4403-05-26 4403-05-27 4403-05-28 4403-05-29 4403-05-30
 
  
 
 Another problem is in REGUL, I using the variables created in the
 extraction
 of the data but the regulation is not possible
 
  
 
 REGUL
 
 Ts.regul-regul(A$date, y=A$my2, xmin=2006070100, n=800, units=hours,
 frequency=1,
 
 deltat=1/3600, datemin=NULL, dateformat=m/d/Y, tol=NULL,
 
 tol.type=both, methods=linear, rule=1, f=0, periodic=FALSE,
 
 window=(2006080316 - 2006070100)/(800 - 1), split=100, specs=NULL)
 
  
 
 I think if the question is resolved the function REGUL will work to.
 
 Can someone help me? I new to this forum and in the utilisation of R.
 
  
 
  
 
 Thanks for the help in advance,
 
  
 
 João Santos
 
  
 
  
 
 
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