Re: [R] unqiue problem

2010-06-14 Thread David Winsemius


On Jun 14, 2010, at 1:10 PM, David Winsemius wrote:



On Jun 14, 2010, at 12:32 PM, Assa Yeroslaviz wrote:


I thought unique delete the whole line.
I don't really need the row names, but I thought of it as a way of  
getting

the unique items.

Is there a way of deleting whole lines completely according to their
identifiers?

What I really need are unique values on the first column.

Assa

On Mon, Jun 14, 2010 at 18:04, jim holtman   
wrote:



Your process does remove all the duplicate entries based on the
content of the two columns.  After you do this, there are still
duplicate entries in the first column that you are trying to use as
rownames and therefore the error.  Why to you want to use non-unique
entries as rownames?  Do you really need the row names, or should  
you

only be keeping unique values for the first column?

On Mon, Jun 14, 2010 at 8:54 AM, Assa Yeroslaviz  
 wrote:

Hello everybody,

I have a a matrix of 2 columns and over 27k rows.
some of the rows are double , so I tried to remove them with the  
command

unique():


Workbook5 <- read.delim(file =  "Workbook5.txt")
dim(Workbook5)

[1] 27748 2

Workbook5 <- unique(Workbook5)


Jim already showed you one way in another thread and it is probably  
more intuitive than this way, but just so you know...


Workbook5 <- Workbook5[ unique(Workbook5[ ,1] ) , ]

... should have worked. Logical indexing on first column with return  
of both columns of qualifying rows.


Actually I was thinking a bit askew although that would have  
succeeded. That was not logical indexing, which would have been done  
with duplicated() ... or rather its negation through the use of the  
"!" unary operator:


> str(unique(Workbook5[ ,1] ) )
 Factor w/ 17209 levels "A_51_P100034",..: 1 2 3 4 5 6 7 8 9 10 ...
> str(!duplicated(Workbook5[ ,1] ) )
 logi [1:20101] TRUE TRUE TRUE TRUE TRUE TRUE ...

So this would have been the way to do it with logical indexing:

Workbook5 <- Workbook5[ !duplicated(Workbook5[ ,1] ) , ]




--
David.

dim(Workbook5)

[1] 20101 2

it removed a lot of line, but unfortunately not all of them. I  
wanted to

add

the row names to the matrix and got this error message:

rownames(Workbook5) <- Workbook5[,1]
Error in `row.names<-.data.frame`(`*tmp*`, value = c(1L, 2L, 3L,  
4L, 5L,

:

duplicate 'row.names' are not allowed
In addition: Warning message:
non-unique values when setting 'row.names': ‘A_51_P102339’,
‘A_51_P102518’, ‘A_51_P103435’, ‘A_51_P103465’,
‘A_51_P103594’, ‘A_51_P104409’, ‘A_51_P104718’,
‘A_51_P105869’, ‘A_51_P106428’, ‘A_51_P106799’,
‘A_51_P107176’, ‘A_51_P107959’, ‘A_51_P108767’,
‘A_51_P109258’, ‘A_51_P109708’, ‘A_51_P110341’,
‘A_51_P111757’, ‘A_51_P112427’, ‘A_51_P112662’,
‘A_51_P113672’, ‘A_51_P115018’, ‘A_51_P116496’,
‘A_51_P116636’, ‘A_51_P117666’, ‘A_51_P118132’,
‘A_51_P118168’, ‘A_51_P118400’, ‘A_51_P118506’,
‘A_51_P119315’, ‘A_51_P120093’, ‘A_51_P120305’,
‘A_51_P120738’, ‘A_51_P120785’, ‘A_51_P121134’,
‘A_51_P121359’, ‘A_51_P121412’, ‘A_51_P121652’,
‘A_51_P121724’, ‘A_51_P121829’, ‘A_51_P122141’,
‘A_51_P122964’, ‘A_51_P123422’, ‘A_51_P123895’,
‘A_51_P124008’, ‘A_51_P124719’, ‘A_51_P125648’,
‚ÄòA_51_P125679‚Äô, ‚ÄòA_51_P125779‚ [... truncated]

Is there a better way to discard the duplicataions in the text file

(Excel

file is the origin).


R.version

_
platform   x86_64-apple-darwin9.8.0
arch   x86_64
os darwin9.8.0
system x86_64, darwin9.8.0
status Patched
major  2
minor  11.1
year   2010
month  06
day03
svn rev52201
language   R
version.string R version 2.11.1 Patched (2010-06-03 r52201)

THX

Assa

__
R-help@r-project.org mailing list


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.


Re: [R] unqiue problem

2010-06-14 Thread David Winsemius


On Jun 14, 2010, at 12:32 PM, Assa Yeroslaviz wrote:


I thought unique delete the whole line.
I don't really need the row names, but I thought of it as a way of  
getting

the unique items.

Is there a way of deleting whole lines completely according to their
identifiers?

What I really need are unique values on the first column.

Assa

On Mon, Jun 14, 2010 at 18:04, jim holtman  wrote:


Your process does remove all the duplicate entries based on the
content of the two columns.  After you do this, there are still
duplicate entries in the first column that you are trying to use as
rownames and therefore the error.  Why to you want to use non-unique
entries as rownames?  Do you really need the row names, or should you
only be keeping unique values for the first column?

On Mon, Jun 14, 2010 at 8:54 AM, Assa Yeroslaviz   
wrote:

Hello everybody,

I have a a matrix of 2 columns and over 27k rows.
some of the rows are double , so I tried to remove them with the  
command

unique():


Workbook5 <- read.delim(file =  "Workbook5.txt")
dim(Workbook5)

[1] 27748 2

Workbook5 <- unique(Workbook5)


Jim already showed you one way in another thread and it is probably  
more intuitive than this way, but just so you know...


 Workbook5 <- Workbook5[ unique(Workbook5[ ,1] ) , ]

... should have worked. Logical indexing on first column with return  
of both columns of qualifying rows.


--
David.

dim(Workbook5)

[1] 20101 2

it removed a lot of line, but unfortunately not all of them. I  
wanted to

add

the row names to the matrix and got this error message:

rownames(Workbook5) <- Workbook5[,1]
Error in `row.names<-.data.frame`(`*tmp*`, value = c(1L, 2L, 3L,  
4L, 5L,

:

duplicate 'row.names' are not allowed
In addition: Warning message:
non-unique values when setting 'row.names': ‘A_51_P102339’,
‘A_51_P102518’, ‘A_51_P103435’, ‘A_51_P103465’,
‘A_51_P103594’, ‘A_51_P104409’, ‘A_51_P104718’,
‘A_51_P105869’, ‘A_51_P106428’, ‘A_51_P106799’,
‘A_51_P107176’, ‘A_51_P107959’, ‘A_51_P108767’,
‘A_51_P109258’, ‘A_51_P109708’, ‘A_51_P110341’,
‘A_51_P111757’, ‘A_51_P112427’, ‘A_51_P112662’,
‘A_51_P113672’, ‘A_51_P115018’, ‘A_51_P116496’,
‘A_51_P116636’, ‘A_51_P117666’, ‘A_51_P118132’,
‘A_51_P118168’, ‘A_51_P118400’, ‘A_51_P118506’,
‘A_51_P119315’, ‘A_51_P120093’, ‘A_51_P120305’,
‘A_51_P120738’, ‘A_51_P120785’, ‘A_51_P121134’,
‘A_51_P121359’, ‘A_51_P121412’, ‘A_51_P121652’,
‘A_51_P121724’, ‘A_51_P121829’, ‘A_51_P122141’,
‘A_51_P122964’, ‘A_51_P123422’, ‘A_51_P123895’,
‘A_51_P124008’, ‘A_51_P124719’, ‘A_51_P125648’,
‚ÄòA_51_P125679‚Äô, ‚ÄòA_51_P125779‚ [... truncated]

Is there a better way to discard the duplicataions in the text file

(Excel

file is the origin).


R.version

 _
platform   x86_64-apple-darwin9.8.0
arch   x86_64
os darwin9.8.0
system x86_64, darwin9.8.0
status Patched
major  2
minor  11.1
year   2010
month  06
day03
svn rev52201
language   R
version.string R version 2.11.1 Patched (2010-06-03 r52201)

THX

Assa

__
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?



[[alternative HTML version deleted]]

__
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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
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.


Re: [R] unqiue problem

2010-06-14 Thread Assa Yeroslaviz
I thought unique delete the whole line.
I don't really need the row names, but I thought of it as a way of getting
the unique items.

Is there a way of deleting whole lines completely according to their
identifiers?

What I really need are unique values on the first column.

Assa

On Mon, Jun 14, 2010 at 18:04, jim holtman  wrote:

> Your process does remove all the duplicate entries based on the
> content of the two columns.  After you do this, there are still
> duplicate entries in the first column that you are trying to use as
> rownames and therefore the error.  Why to you want to use non-unique
> entries as rownames?  Do you really need the row names, or should you
> only be keeping unique values for the first column?
>
> On Mon, Jun 14, 2010 at 8:54 AM, Assa Yeroslaviz  wrote:
> > Hello everybody,
> >
> > I have a a matrix of 2 columns and over 27k rows.
> > some of the rows are double , so I tried to remove them with the command
> > unique():
> >
> >> Workbook5 <- read.delim(file =  "Workbook5.txt")
> >> dim(Workbook5)
> > [1] 27748 2
> >> Workbook5 <- unique(Workbook5)
> >> dim(Workbook5)
> > [1] 20101 2
> >
> > it removed a lot of line, but unfortunately not all of them. I wanted to
> add
> > the row names to the matrix and got this error message:
> >> rownames(Workbook5) <- Workbook5[,1]
> > Error in `row.names<-.data.frame`(`*tmp*`, value = c(1L, 2L, 3L, 4L, 5L,
>  :
> >  duplicate 'row.names' are not allowed
> > In addition: Warning message:
> > non-unique values when setting 'row.names': ‘A_51_P102339’,
> > ‘A_51_P102518’, ‘A_51_P103435’, 
> > ‘A_51_P103465’,
> > ‘A_51_P103594’, ‘A_51_P104409’, 
> > ‘A_51_P104718’,
> > ‘A_51_P105869’, ‘A_51_P106428’, 
> > ‘A_51_P106799’,
> > ‘A_51_P107176’, ‘A_51_P107959’, 
> > ‘A_51_P108767’,
> > ‘A_51_P109258’, ‘A_51_P109708’, 
> > ‘A_51_P110341’,
> > ‘A_51_P111757’, ‘A_51_P112427’, 
> > ‘A_51_P112662’,
> > ‘A_51_P113672’, ‘A_51_P115018’, 
> > ‘A_51_P116496’,
> > ‘A_51_P116636’, ‘A_51_P117666’, 
> > ‘A_51_P118132’,
> > ‘A_51_P118168’, ‘A_51_P118400’, 
> > ‘A_51_P118506’,
> > ‘A_51_P119315’, ‘A_51_P120093’, 
> > ‘A_51_P120305’,
> > ‘A_51_P120738’, ‘A_51_P120785’, 
> > ‘A_51_P121134’,
> > ‘A_51_P121359’, ‘A_51_P121412’, 
> > ‘A_51_P121652’,
> > ‘A_51_P121724’, ‘A_51_P121829’, 
> > ‘A_51_P122141’,
> > ‘A_51_P122964’, ‘A_51_P123422’, 
> > ‘A_51_P123895’,
> > ‘A_51_P124008’, ‘A_51_P124719’, 
> > ‘A_51_P125648’,
> > ‚ÄòA_51_P125679‚Äô, ‚ÄòA_51_P125779‚ [... truncated]
> >
> > Is there a better way to discard the duplicataions in the text file
> (Excel
> > file is the origin).
> >
> >> R.version
> >   _
> > platform   x86_64-apple-darwin9.8.0
> > arch   x86_64
> > os darwin9.8.0
> > system x86_64, darwin9.8.0
> > status Patched
> > major  2
> > minor  11.1
> > year   2010
> > month  06
> > day03
> > svn rev52201
> > language   R
> > version.string R version 2.11.1 Patched (2010-06-03 r52201)
> >
> > THX
> >
> > Assa
> >
> > __
> > 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?
>

[[alternative HTML version deleted]]

__
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.


Re: [R] unqiue problem

2010-06-14 Thread jim holtman
Your process does remove all the duplicate entries based on the
content of the two columns.  After you do this, there are still
duplicate entries in the first column that you are trying to use as
rownames and therefore the error.  Why to you want to use non-unique
entries as rownames?  Do you really need the row names, or should you
only be keeping unique values for the first column?

On Mon, Jun 14, 2010 at 8:54 AM, Assa Yeroslaviz  wrote:
> Hello everybody,
>
> I have a a matrix of 2 columns and over 27k rows.
> some of the rows are double , so I tried to remove them with the command
> unique():
>
>> Workbook5 <- read.delim(file =  "Workbook5.txt")
>> dim(Workbook5)
> [1] 27748     2
>> Workbook5 <- unique(Workbook5)
>> dim(Workbook5)
> [1] 20101     2
>
> it removed a lot of line, but unfortunately not all of them. I wanted to add
> the row names to the matrix and got this error message:
>> rownames(Workbook5) <- Workbook5[,1]
> Error in `row.names<-.data.frame`(`*tmp*`, value = c(1L, 2L, 3L, 4L, 5L,  :
>  duplicate 'row.names' are not allowed
> In addition: Warning message:
> non-unique values when setting 'row.names': ‘A_51_P102339’,
> ‘A_51_P102518’, ‘A_51_P103435’, ‘A_51_P103465’,
> ‘A_51_P103594’, ‘A_51_P104409’, ‘A_51_P104718’,
> ‘A_51_P105869’, ‘A_51_P106428’, ‘A_51_P106799’,
> ‘A_51_P107176’, ‘A_51_P107959’, ‘A_51_P108767’,
> ‘A_51_P109258’, ‘A_51_P109708’, ‘A_51_P110341’,
> ‘A_51_P111757’, ‘A_51_P112427’, ‘A_51_P112662’,
> ‘A_51_P113672’, ‘A_51_P115018’, ‘A_51_P116496’,
> ‘A_51_P116636’, ‘A_51_P117666’, ‘A_51_P118132’,
> ‘A_51_P118168’, ‘A_51_P118400’, ‘A_51_P118506’,
> ‘A_51_P119315’, ‘A_51_P120093’, ‘A_51_P120305’,
> ‘A_51_P120738’, ‘A_51_P120785’, ‘A_51_P121134’,
> ‘A_51_P121359’, ‘A_51_P121412’, ‘A_51_P121652’,
> ‘A_51_P121724’, ‘A_51_P121829’, ‘A_51_P122141’,
> ‘A_51_P122964’, ‘A_51_P123422’, ‘A_51_P123895’,
> ‘A_51_P124008’, ‘A_51_P124719’, ‘A_51_P125648’,
> ‚ÄòA_51_P125679‚Äô, ‚ÄòA_51_P125779‚ [... truncated]
>
> Is there a better way to discard the duplicataions in the text file (Excel
> file is the origin).
>
>> R.version
>               _
> platform       x86_64-apple-darwin9.8.0
> arch           x86_64
> os             darwin9.8.0
> system         x86_64, darwin9.8.0
> status         Patched
> major          2
> minor          11.1
> year           2010
> month          06
> day            03
> svn rev        52201
> language       R
> version.string R version 2.11.1 Patched (2010-06-03 r52201)
>
> THX
>
> Assa
>
> __
> 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.