Re: [R] Reading in a large number of dbf files

2009-04-17 Thread Steve_Friedman
Duncan,

Thank  you very much. I did not have a chance to examine this approach
today. I will because I need to have this functionality.

I appreciate you time and insights

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


   
 Duncan Mackay 
 mac...@northnet. 
 com.auTo 
   steve_fried...@nps.gov  
 04/17/2009 09:05   cc 
 AM ZE10   r-help@r-project.org
   Subject 
   Re: [R] Reading in a large number   
   of dbf files
   
   
   
   
   
   




Steve

If the .dbf extension files are dBase type.
generalizing: there are 2 series of dbase .dbf files for non SQL type dbf
files:
1  dBase III when Borland had dBase and
2  dBase 2000 produced by dBase inc

If they are dbase III (ie can be imported into Excel) you can use the
foreign package to import them

require(foreign)
# get a list of files
listd - list.files(.)

# loop or otherwise
for (j in seq_along(lisd) ) {

# Example for 1 file (you will have to use something different for  1)
x -   read.dbf(list[j], as.is = TRUE)

}

Regards

Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email home: mac...@northnet.com.au

At 00:35 17/04/2009, you wrote:

good morning

This question is not a stats question per say but a data management and
lattice plotting problem.  I apologize now if I'm asking an inappropriate
question to this gracious group.

I'm need to bring in approximately 100 *.dbf files into R but I'm having
difficultly understanding several examples I've tracked down regarding
this
procedure and could benefit from your suggestions.

One example I've found does the following:

DF - lappy(dir(pattern=file.*\\.txt), read.table, sep=;. header=
TRUE)
names(DF)  - paste(data, seq_along(DF), sep = )

This solution will not work for me for at least 2 reasons:

1) I need to modify the files after I import them by adding three new
parameters to each file prior to combining them into a common data.frame
  For example one of my files is called SRF_DryDry_stats.dbf.  The name of
the file tells me that it refers to two conditions; 1) SRF = an indictor
region field, and 2) DryDry = dry hydrological conditions. I also know
that
the data refer to a particular species.

The data in the file include some general summarizing  statistics (Min,
Max, Range, Mean, and STD). After modifying the file, I need a species
field, the SRF field and the hydro condition parameters in the file.
After
this modification, I need to cbind these files into a common file.

2) The goal is to use the common file to produce a series of lattice
barchart graphs using the three new parameters as factors and plotting the
some of the statistics in the lattice call statements.

Is there a clean way of accomplishing these tasks or should the brute
force
approach be taken?


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

__
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
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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] Reading in a large number of dbf files

2009-04-16 Thread Steve_Friedman

good morning

This question is not a stats question per say but a data management and
lattice plotting problem.  I apologize now if I'm asking an inappropriate
question to this gracious group.

I'm need to bring in approximately 100 *.dbf files into R but I'm having
difficultly understanding several examples I've tracked down regarding this
procedure and could benefit from your suggestions.

One example I've found does the following:

DF - lappy(dir(pattern=file.*\\.txt), read.table, sep=;. header= TRUE)
names(DF)  - paste(data, seq_along(DF), sep = )

This solution will not work for me for at least 2 reasons:

1) I need to modify the files after I import them by adding three new
parameters to each file prior to combining them into a common data.frame
 For example one of my files is called SRF_DryDry_stats.dbf.  The name of
the file tells me that it refers to two conditions; 1) SRF = an indictor
region field, and 2) DryDry = dry hydrological conditions. I also know that
the data refer to a particular species.

The data in the file include some general summarizing  statistics (Min,
Max, Range, Mean, and STD). After modifying the file, I need a species
field, the SRF field and the hydro condition parameters in the file.  After
this modification, I need to cbind these files into a common file.

2) The goal is to use the common file to produce a series of lattice
barchart graphs using the three new parameters as factors and plotting the
some of the statistics in the lattice call statements.

Is there a clean way of accomplishing these tasks or should the brute force
approach be taken?


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

__
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] Reading in a large number of dbf files

2009-04-16 Thread jim holtman
A process like the following is how I would do it:

inputData - lapply(listOfFiles, function(.file){
input - read.table(.file, whatever other parameters...)
# now do the modifications that you need

input  # return the updated dataframe
})

# combine into one dataframe
inputData - do.call(rbind, inputData)


On Thu, Apr 16, 2009 at 10:35 AM,  steve_fried...@nps.gov wrote:

 good morning

 This question is not a stats question per say but a data management and
 lattice plotting problem.  I apologize now if I'm asking an inappropriate
 question to this gracious group.

 I'm need to bring in approximately 100 *.dbf files into R but I'm having
 difficultly understanding several examples I've tracked down regarding this
 procedure and could benefit from your suggestions.

 One example I've found does the following:

 DF - lappy(dir(pattern=file.*\\.txt), read.table, sep=;. header= TRUE)
 names(DF)  - paste(data, seq_along(DF), sep = )

 This solution will not work for me for at least 2 reasons:

 1) I need to modify the files after I import them by adding three new
 parameters to each file prior to combining them into a common data.frame
  For example one of my files is called SRF_DryDry_stats.dbf.  The name of
 the file tells me that it refers to two conditions; 1) SRF = an indictor
 region field, and 2) DryDry = dry hydrological conditions. I also know that
 the data refer to a particular species.

 The data in the file include some general summarizing  statistics (Min,
 Max, Range, Mean, and STD). After modifying the file, I need a species
 field, the SRF field and the hydro condition parameters in the file.  After
 this modification, I need to cbind these files into a common file.

 2) The goal is to use the common file to produce a series of lattice
 barchart graphs using the three new parameters as factors and plotting the
 some of the statistics in the lattice call statements.

 Is there a clean way of accomplishing these tasks or should the brute force
 approach be taken?


 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

 __
 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.




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

What is the problem that you are trying to solve?

__
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] Reading in a large number of dbf files

2009-04-16 Thread Duncan Mackay

Steve

If the .dbf extension files are dBase type.
generalizing: there are 2 series of dbase .dbf files for non SQL type dbf 
files:

1  dBase III when Borland had dBase and
2  dBase 2000 produced by dBase inc

If they are dbase III (ie can be imported into Excel) you can use the 
foreign package to import them


require(foreign)
# get a list of files
listd - list.files(.)

# loop or otherwise
for (j in seq_along(lisd) ) {

   # Example for 1 file (you will have to use something different for  1)
   x -   read.dbf(list[j], as.is = TRUE)

}

Regards

Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email home: mac...@northnet.com.au

At 00:35 17/04/2009, you wrote:


good morning

This question is not a stats question per say but a data management and
lattice plotting problem.  I apologize now if I'm asking an inappropriate
question to this gracious group.

I'm need to bring in approximately 100 *.dbf files into R but I'm having
difficultly understanding several examples I've tracked down regarding this
procedure and could benefit from your suggestions.

One example I've found does the following:

DF - lappy(dir(pattern=file.*\\.txt), read.table, sep=;. header= TRUE)
names(DF)  - paste(data, seq_along(DF), sep = )

This solution will not work for me for at least 2 reasons:

1) I need to modify the files after I import them by adding three new
parameters to each file prior to combining them into a common data.frame
 For example one of my files is called SRF_DryDry_stats.dbf.  The name of
the file tells me that it refers to two conditions; 1) SRF = an indictor
region field, and 2) DryDry = dry hydrological conditions. I also know that
the data refer to a particular species.

The data in the file include some general summarizing  statistics (Min,
Max, Range, Mean, and STD). After modifying the file, I need a species
field, the SRF field and the hydro condition parameters in the file.  After
this modification, I need to cbind these files into a common file.

2) The goal is to use the common file to produce a series of lattice
barchart graphs using the three new parameters as factors and plotting the
some of the statistics in the lattice call statements.

Is there a clean way of accomplishing these tasks or should the brute force
approach be taken?


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

__
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.