Re: [R] Numeric class and sasxport.get

2009-02-05 Thread Sebastien Bihorel
Ok, just so as I get that straight, is the 'labelled' class something 
that you created in your package or a readily available class in base R?


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

I also realized the flaw after testing the script on various datasets...

Following up on your last note:
1- Is that the reason why the class of integer and regular numeric 
variable is solely labelled following sasxport.get?


Yes.  R gurus might correct me but just creating a numeric vector 
doesn't create a 'hard' class, add adding your own class attribute 
equal to 'numeric' or 'integer' might cause a problem downstream.



2- Can class be 'soft' for other 'kind' of variables?


Not that I can recall.

3- Would you anticipate the following wrapper function to generate 
incompatibilities with other R functions?


I'm going to beg off on that.  I'm not enough of an expert on the 
impact of adding such classes.


Frank




SASxpt.get - function(file, force.single = TRUE,
 method=c('read.xport','dataload','csv'), 
formats=NULL, allow=NULL,

 out=NULL, keep=NULL, drop=NULL, as.is=0.5, FUN=NULL) {

 foo - sasxport.get(file=file, force.single=force.single, 
method=method,

 formats=formats, allow=allow, out=out, keep=keep,
 drop=drop, as.is=as.is, FUN=FUN)

 # For each variable of class labelled (and only labelled), add 
the native class as a second class argument


 sglClassVarInd - which(lapply(lapply(unclass(foo),class),length)==1)

 for (i in 1:length(sglClassVarInd)){
   x - foo[,sglClassVarInd[i]]  if (class(x)==labelled) 
class(foo[,sglClassVarInd[i]]) - c(class(x), class(unclass(x)))

 }
 return(foo)
}


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes 
of my variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


Not a good idea, for many reasons including dates and other types.

And the labelled type is need if you subset the data, in order to 
keep the labels.


Note that your original issue is related to class being soft for 
integers and regular numerics:


 x - 1:3
 attributes(x)
NULL
 class(x)
[1] integer
 x - runif(3)
 class(x)
[1] numeric
 attributes(x)
NULL

Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:
The problem is actually not related to a broken command but a 
attempt of
operational qualification of R. A few years ago, my company 
developed a

set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData 
function, which I
substituted by sasxport.get. One particular script returns the 
class of

each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 
'translation' with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have 
to remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for 
sasxport.get that takes its output, looks for labelled variables, 
and adds a new class of your choosing depending on properties of 
the variable, making sure that you write methods needed for that 
class (if any).  Then test your new function, not sasxport.get 
explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class 
labelled

(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is 
broken by

this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as 
labelled

Date or labelled factor.
Is there a way to tell sasxport.get to define numeric 
variable as

labelled integer or labelled 

Re: [R] Numeric class and sasxport.get

2009-02-05 Thread Frank E Harrell Jr

Sebastien Bihorel wrote:
Ok, just so as I get that straight, is the 'labelled' class something 
that you created in your package or a readily available class in base R?


It's something we added for the Hmisc package.
Signing off,
Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

I also realized the flaw after testing the script on various datasets...

Following up on your last note:
1- Is that the reason why the class of integer and regular numeric 
variable is solely labelled following sasxport.get?


Yes.  R gurus might correct me but just creating a numeric vector 
doesn't create a 'hard' class, add adding your own class attribute 
equal to 'numeric' or 'integer' might cause a problem downstream.



2- Can class be 'soft' for other 'kind' of variables?


Not that I can recall.

3- Would you anticipate the following wrapper function to generate 
incompatibilities with other R functions?


I'm going to beg off on that.  I'm not enough of an expert on the 
impact of adding such classes.


Frank




SASxpt.get - function(file, force.single = TRUE,
 method=c('read.xport','dataload','csv'), 
formats=NULL, allow=NULL,

 out=NULL, keep=NULL, drop=NULL, as.is=0.5, FUN=NULL) {

 foo - sasxport.get(file=file, force.single=force.single, 
method=method,

 formats=formats, allow=allow, out=out, keep=keep,
 drop=drop, as.is=as.is, FUN=FUN)

 # For each variable of class labelled (and only labelled), add 
the native class as a second class argument


 sglClassVarInd - which(lapply(lapply(unclass(foo),class),length)==1)

 for (i in 1:length(sglClassVarInd)){
   x - foo[,sglClassVarInd[i]]  if (class(x)==labelled) 
class(foo[,sglClassVarInd[i]]) - c(class(x), class(unclass(x)))

 }
 return(foo)
}


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes 
of my variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


Not a good idea, for many reasons including dates and other types.

And the labelled type is need if you subset the data, in order to 
keep the labels.


Note that your original issue is related to class being soft for 
integers and regular numerics:


 x - 1:3
 attributes(x)
NULL
 class(x)
[1] integer
 x - runif(3)
 class(x)
[1] numeric
 attributes(x)
NULL

Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:
The problem is actually not related to a broken command but a 
attempt of
operational qualification of R. A few years ago, my company 
developed a

set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData 
function, which I
substituted by sasxport.get. One particular script returns the 
class of

each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 
'translation' with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have 
to remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for 
sasxport.get that takes its output, looks for labelled variables, 
and adds a new class of your choosing depending on properties of 
the variable, making sure that you write methods needed for that 
class (if any).  Then test your new function, not sasxport.get 
explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class 
labelled

(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is 
broken by

this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as 
labelled

Date or labelled factor.

Re: [R] Numeric class and sasxport.get

2009-02-04 Thread Sebastien Bihorel

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes of my 
variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:

The problem is actually not related to a broken command but a attempt of
operational qualification of R. A few years ago, my company developed a
set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData function, 
which I

substituted by sasxport.get. One particular script returns the class of
each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 'translation' 
with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have to 
remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for sasxport.get 
that takes its output, looks for labelled variables, and adds a new 
class of your choosing depending on properties of the variable, making 
sure that you write methods needed for that class (if any).  Then test 
your new function, not sasxport.get explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class labelled
(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is broken by
this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as labelled
Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as
labelled integer or labelled numeric?

Sebastien,

If that would fix a problem you're having we could look into it.
Otherwise I'd tend to leave well enough alone.

Frank


Thank you

Sebastien

__
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.





--
Frank E Harrell Jr   Professor and Chair   School of Medicine
  Department of Biostatistics   Vanderbilt 
University










__
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] Numeric class and sasxport.get

2009-02-04 Thread Frank E Harrell Jr

Sebastien Bihorel wrote:

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes of my 
variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


Not a good idea, for many reasons including dates and other types.

And the labelled type is need if you subset the data, in order to keep 
the labels.


Note that your original issue is related to class being soft for 
integers and regular numerics:


 x - 1:3
 attributes(x)
NULL
 class(x)
[1] integer
 x - runif(3)
 class(x)
[1] numeric
 attributes(x)
NULL

Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:

The problem is actually not related to a broken command but a attempt of
operational qualification of R. A few years ago, my company developed a
set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData function, 
which I

substituted by sasxport.get. One particular script returns the class of
each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 'translation' 
with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have to 
remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for sasxport.get 
that takes its output, looks for labelled variables, and adds a new 
class of your choosing depending on properties of the variable, making 
sure that you write methods needed for that class (if any).  Then test 
your new function, not sasxport.get explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class labelled
(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is broken by
this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as labelled
Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as
labelled integer or labelled numeric?

Sebastien,

If that would fix a problem you're having we could look into it.
Otherwise I'd tend to leave well enough alone.

Frank


Thank you

Sebastien

__
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.





--
Frank E Harrell Jr   Professor and Chair   School of Medicine
  Department of Biostatistics   Vanderbilt 
University













--
Frank E Harrell Jr   Professor and Chair   School of Medicine
 Department of Biostatistics   Vanderbilt University

__
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] Numeric class and sasxport.get

2009-02-04 Thread Sebastien Bihorel

I also realized the flaw after testing the script on various datasets...

Following up on your last note:
1- Is that the reason why the class of integer and regular numeric 
variable is solely labelled following sasxport.get?

2- Can class be 'soft' for other 'kind' of variables?
3- Would you anticipate the following wrapper function to generate 
incompatibilities with other R functions?



SASxpt.get - function(file, force.single = TRUE,
 method=c('read.xport','dataload','csv'), formats=NULL, 
allow=NULL,

 out=NULL, keep=NULL, drop=NULL, as.is=0.5, FUN=NULL) {

 foo - sasxport.get(file=file, force.single=force.single, method=method,
 formats=formats, allow=allow, out=out, keep=keep,
 drop=drop, as.is=as.is, FUN=FUN)

 # For each variable of class labelled (and only labelled), add the 
native class as a second class argument


 sglClassVarInd - which(lapply(lapply(unclass(foo),class),length)==1)

 for (i in 1:length(sglClassVarInd)){
   x - foo[,sglClassVarInd[i]]   
   if (class(x)==labelled) class(foo[,sglClassVarInd[i]]) - 
c(class(x), class(unclass(x)))

 }
 return(foo)
}


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes of 
my variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


Not a good idea, for many reasons including dates and other types.

And the labelled type is need if you subset the data, in order to keep 
the labels.


Note that your original issue is related to class being soft for 
integers and regular numerics:


 x - 1:3
 attributes(x)
NULL
 class(x)
[1] integer
 x - runif(3)
 class(x)
[1] numeric
 attributes(x)
NULL

Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:
The problem is actually not related to a broken command but a 
attempt of
operational qualification of R. A few years ago, my company 
developed a

set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData function, 
which I
substituted by sasxport.get. One particular script returns the 
class of

each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 
'translation' with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have to 
remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for 
sasxport.get that takes its output, looks for labelled variables, 
and adds a new class of your choosing depending on properties of the 
variable, making sure that you write methods needed for that class 
(if any).  Then test your new function, not sasxport.get explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class 
labelled

(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is broken by
this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as 
labelled

Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as
labelled integer or labelled numeric?

Sebastien,

If that would fix a problem you're having we could look into it.
Otherwise I'd tend to leave well enough alone.

Frank


Thank you

Sebastien

__
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.





--
Frank E Harrell Jr   Professor and Chair   School of Medicine
  Department of Biostatistics   Vanderbilt 
University















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

Re: [R] Numeric class and sasxport.get

2009-02-04 Thread Frank E Harrell Jr

Sebastien Bihorel wrote:

I also realized the flaw after testing the script on various datasets...

Following up on your last note:
1- Is that the reason why the class of integer and regular numeric 
variable is solely labelled following sasxport.get?


Yes.  R gurus might correct me but just creating a numeric vector 
doesn't create a 'hard' class, add adding your own class attribute equal 
to 'numeric' or 'integer' might cause a problem downstream.



2- Can class be 'soft' for other 'kind' of variables?


Not that I can recall.

3- Would you anticipate the following wrapper function to generate 
incompatibilities with other R functions?


I'm going to beg off on that.  I'm not enough of an expert on the impact 
of adding such classes.


Frank




SASxpt.get - function(file, force.single = TRUE,
 method=c('read.xport','dataload','csv'), formats=NULL, 
allow=NULL,

 out=NULL, keep=NULL, drop=NULL, as.is=0.5, FUN=NULL) {

 foo - sasxport.get(file=file, force.single=force.single, method=method,
 formats=formats, allow=allow, out=out, keep=keep,
 drop=drop, as.is=as.is, FUN=FUN)

 # For each variable of class labelled (and only labelled), add the 
native class as a second class argument


 sglClassVarInd - which(lapply(lapply(unclass(foo),class),length)==1)

 for (i in 1:length(sglClassVarInd)){
   x - foo[,sglClassVarInd[i]]  if (class(x)==labelled) 
class(foo[,sglClassVarInd[i]]) - c(class(x), class(unclass(x)))

 }
 return(foo)
}


*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Thanks a lot Frank,

One last question, though. I was tempted to remove all attributes of 
my variables after the sasxport.get call using

foo - sasxport.get(...)
foo - as.data.frame(lapply(unclass(foo),as.vector))
Since I never worked with the objects of class 'labeled', I was 
wondering what I will loose by removing this attribute.


Not a good idea, for many reasons including dates and other types.

And the labelled type is need if you subset the data, in order to keep 
the labels.


Note that your original issue is related to class being soft for 
integers and regular numerics:


 x - 1:3
 attributes(x)
NULL
 class(x)
[1] integer
 x - runif(3)
 class(x)
[1] numeric
 attributes(x)
NULL

Frank



*Sebastien Bihorel, PharmD, PhD*
PKPD Scientist
Cognigen Corp
Email: sebastien.biho...@cognigencorp.com 
mailto:sebastien.biho...@cognigencorp.com

Phone: (716) 633-3463 ext. 323


Frank E Harrell Jr wrote:

sebastien.biho...@cognigencorp.com wrote:
The problem is actually not related to a broken command but a 
attempt of
operational qualification of R. A few years ago, my company 
developed a

set of scripts for the 'operational qualification' of Splus. We are
switching to R so I am currently trying to port the scripts to R.
All Splus scripts imported SAS data using the importData function, 
which I
substituted by sasxport.get. One particular script returns the 
class of

each variable of the imported data frame; the output must match the
expected values: numeric, factor, integer, etc... The R 
'translation' with

sasxport.get is thus problematic.
If there is no easy tweak of the function, we will probably have to 
remove

this script from our list of 'qualification' scripts.

Although it would be nice


Then my advice is to write your own wrapper function for 
sasxport.get that takes its output, looks for labelled variables, 
and adds a new class of your choosing depending on properties of the 
variable, making sure that you write methods needed for that class 
(if any).  Then test your new function, not sasxport.get explicitly.


Frank




Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class 
labelled

(and only labelled) can only be numerical variables (integer or
numeric).

Sebastien

'labelled' can apply to any type of vector.  I'm not clear on the
problem this causes you.  Please provide a command that is broken by
this behavior.

Frank


Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically
defines the class of imported variables. I have noticed that the
class of theoretically numeric variables is simply labelled,
although character variables might end up been defined as 
labelled

Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as
labelled integer or labelled numeric?

Sebastien,

If that would fix a problem you're having we could look into it.
Otherwise I'd tend to leave well enough alone.

Frank


Thank you

Sebastien

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Re: [R] Numeric class and sasxport.get

2009-02-03 Thread Frank E Harrell Jr

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically defines 
the class of imported variables. I have noticed that the class of 
theoretically numeric variables is simply labelled, although character 
variables might end up been defined as labelled Date or labelled 
factor.
Is there a way to tell sasxport.get to define numeric variable as 
labelled integer or labelled numeric?


Sebastien,

If that would fix a problem you're having we could look into it. 
Otherwise I'd tend to leave well enough alone.


Frank



Thank you

Sebastien

__
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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.




--
Frank E Harrell Jr   Professor and Chair   School of Medicine
 Department of Biostatistics   Vanderbilt University

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Re: [R] Numeric class and sasxport.get

2009-02-03 Thread Frank E Harrell Jr

Sebastien Bihorel wrote:

Frank,

It is a non existing issue for me if the variables of class labelled 
(and only labelled) can only be numerical variables (integer or numeric).


Sebastien


'labelled' can apply to any type of vector.  I'm not clear on the 
problem this causes you.  Please provide a command that is broken by 
this behavior.


Frank



Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically 
defines the class of imported variables. I have noticed that the 
class of theoretically numeric variables is simply labelled, 
although character variables might end up been defined as labelled 
Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as 
labelled integer or labelled numeric?


Sebastien,

If that would fix a problem you're having we could look into it. 
Otherwise I'd tend to leave well enough alone.


Frank



Thank you

Sebastien

__
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.









--
Frank E Harrell Jr   Professor and Chair   School of Medicine
 Department of Biostatistics   Vanderbilt University

__
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] Numeric class and sasxport.get

2009-02-03 Thread Sebastien Bihorel

Frank,

It is a non existing issue for me if the variables of class labelled 
(and only labelled) can only be numerical variables (integer or numeric).


Sebastien

Frank E Harrell Jr wrote:

Sebastien Bihorel wrote:

Dear R-users,

The sasxport.get function (from the Hmisc package) automatically 
defines the class of imported variables. I have noticed that the 
class of theoretically numeric variables is simply labelled, 
although character variables might end up been defined as labelled 
Date or labelled factor.
Is there a way to tell sasxport.get to define numeric variable as 
labelled integer or labelled numeric?


Sebastien,

If that would fix a problem you're having we could look into it. 
Otherwise I'd tend to leave well enough alone.


Frank



Thank you

Sebastien

__
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.