Missing Values with ALL keyword

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Missing Values with ALL keyword

Mario Giesel-2
Hi all,

  when you run

MISSING VALUES ALL (-99, -77).

you'll get an error if there are numeric as well as string variables in the dataset.

This makes no sense in my opinion as -99 cannot be a string anyway.
I think it would be helpful to let SPSS know that ALL in this context means all numeric variables.
Alternatively, introducing a new keyword ALLNUMERIC would stop this annoying behavior.

Does anybody know an easy way without Python to make SPSS define mv for all numeric variables with one command?

Thanks for any ideas,
  Mario.
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Jon Peck
Use the SPSSINC SELECT VARIABLES extension command, which is installed with Statistics unless you choose to exclude Python.  (

SPSSINC SELECT VARIABLES MACRONAME="!numeric" 
/PROPERTIES TYPE=NUMERIC. 

MISSING VALUES !numeric(-99 -77).

On Tue, Jun 20, 2017 at 9:34 AM, Mario Giesel <[hidden email]> wrote:
Hi all,

  when you run

MISSING VALUES ALL (-99, -77).

you'll get an error if there are numeric as well as string variables in the dataset.

This makes no sense in my opinion as -99 cannot be a string anyway.
I think it would be helpful to let SPSS know that ALL in this context means all numeric variables.
Alternatively, introducing a new keyword ALLNUMERIC would stop this annoying behavior.

Does anybody know an easy way without Python to make SPSS define mv for all numeric variables with one command?

Thanks for any ideas,
  Mario.
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD



--
Jon K Peck
[hidden email]

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Kirill Orlov
In reply to this post by Mario Giesel-2
This is indeed some inconvenience. I suggested, officially, SPSS to introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back in 2003.
It has never been implemented.


20.06.2017 18:34, Mario Giesel пишет:
Hi all,

  when you run

MISSING VALUES ALL (-99, -77).

you'll get an error if there are numeric as well as string variables in the dataset.

This makes no sense in my opinion as -99 cannot be a string anyway.
I think it would be helpful to let SPSS know that ALL in this context means all numeric variables.
Alternatively, introducing a new keyword ALLNUMERIC would stop this annoying behavior.

Does anybody know an easy way without Python to make SPSS define mv for all numeric variables with one command?

Thanks for any ideas,
  Mario.
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD


===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Jon Peck
In reply to this post by Jon Peck
Sorry, incomplete message got away.

Use the SPSSINC SELECT VARIABLES extension command, which is installed with Statistics unless you choose to exclude Python.  (It is implemented in Python, but you don't need to write any Python.)

This creates a macro listing the variables with the selected properties - here numeric.  The command has many additional ways to select the variables such as measurement level and patterns in names.  It appears on Utilities as Define Variable Macro.

SPSSINC SELECT VARIABLES MACRONAME="!numeric" 
/PROPERTIES TYPE=NUMERIC. 

MISSING VALUES !numeric(-99 -77).

On Tue, Jun 20, 2017 at 9:44 AM, Jon Peck <[hidden email]> wrote:
Use the SPSSINC SELECT VARIABLES extension command, which is installed with Statistics unless you choose to exclude Python.  (

SPSSINC SELECT VARIABLES MACRONAME="!numeric" 
/PROPERTIES TYPE=NUMERIC. 

MISSING VALUES !numeric(-99 -77).

On Tue, Jun 20, 2017 at 9:34 AM, Mario Giesel <[hidden email]> wrote:
Hi all,

  when you run

MISSING VALUES ALL (-99, -77).

you'll get an error if there are numeric as well as string variables in the dataset.

This makes no sense in my opinion as -99 cannot be a string anyway.
I think it would be helpful to let SPSS know that ALL in this context means all numeric variables.
Alternatively, introducing a new keyword ALLNUMERIC would stop this annoying behavior.

Does anybody know an easy way without Python to make SPSS define mv for all numeric variables with one command?

Thanks for any ideas,
  Mario.
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD



--
Jon K Peck
[hidden email]




--
Jon K Peck
[hidden email]

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Bruce Weaver
Administrator
In reply to this post by Kirill Orlov
I agree that these would be very useful additions to native SPSS.  

Kirill Orlov wrote
This is indeed some inconvenience. I suggested, officially, SPSS to
introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
in 2003.
It has never been implemented.


20.06.2017 18:34, Mario Giesel пишет:
> Hi all,
>
>   when you run
>
> MISSING VALUES ALL (-99, -77).
>
> you'll get an error if there are numeric as well as string variables
> in the dataset.
>
> This makes no sense in my opinion as -99 cannot be a string anyway.
> I think it would be helpful to let SPSS know that ALL in this context
> means all numeric variables.
> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> annoying behavior.
>
> Does anybody know an easy way without Python to make SPSS define mv
> for all numeric variables with one command?
>
> Thanks for any ideas,
> Mario.
> ===================== To manage your subscription to SPSSX-L, send a
> message to [hidden email] 
> <mailto:[hidden email]> (not to SPSSX-L), with no body text
> except the command. To leave the list, send the command SIGNOFF
> SPSSX-L For a list of commands to manage subscriptions, send the
> command INFO REFCARD



=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/

"When all else fails, RTFM."

NOTE: My Hotmail account is not monitored regularly.
To send me an e-mail, please use the address shown above.
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Re: Missing Values with ALL keyword

WillBaileyz
In reply to this post by Mario Giesel-2

And, FYI, it still hasn't been incorporated with the new V25 beta under test

 

So, let's keep asking

Will

> On 6/20/2017 2:11:40 PM, Bruce Weaver ([hidden email]) wrote:


> > I agree that these would be very useful additions to native SPSS. 
>
>
> Kirill Orlov wrote
> > This is indeed some inconvenience. I suggested, officially, SPSS to
> > introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> > in 2003.
> > It has never been implemented.
> >
> >
> > 20.06.2017 18:34, Mario Giesel
пишет:
> >> Hi all,
> >>
> >>   when you run
> >>
> >> MISSING VALUES ALL (-99, -77).
> >>
> >> you'll get an error if there are numeric as well as string variables
> >> in the dataset.
> >>
> >> This makes no sense in my opinion as -99 cannot be a string anyway.
> >> I think it would be helpful to let SPSS know that ALL in this context
> >> means all numeric variables.
> >> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> >> annoying behavior.
> >>
> >> Does anybody know an easy way without Python to make SPSS define mv
> >> for all numeric variables with one command?
> >>
> >> Thanks for any ideas,
> >> Mario.
> >> ===================== To manage your subscription to SPSSX-L, send a
> >> message to
>
> > LISTSERV@.UGA
>
> > 
> >

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Jon Peck
In reply to this post by Bruce Weaver
There are plenty of other classifications of variables that would be useful in selecting variables such as ALLSCALE and ALLCATEGORICAL along with qualifiers in name patterns, e.g., all variable names containing AGE, custom attributes etc.  And these can be used together.  That's why I created SPSSINC SELECT VARIABLES to provide a general mechanism that can be used anywhere a variable selection is needed.  And since it accommodates custom user attributes, it is open to users making up their own categories, e.g., all demographic variables).

Adding reserved words breaks jobs, so it is really a last resort.  With customers who have thousands of SPSS jobs, this is not a minor matter.

Of course, I am just a customer now, so I have no official say in the matter.

On Tue, Jun 20, 2017 at 12:11 PM, Bruce Weaver <[hidden email]> wrote:
I agree that these would be very useful additions to native SPSS.


Kirill Orlov wrote
> This is indeed some inconvenience. I suggested, officially, SPSS to
> introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> in 2003.
> It has never been implemented.
>
>
> 20.06.2017 18:34, Mario Giesel пишет:
>> Hi all,
>>
>>   when you run
>>
>> MISSING VALUES ALL (-99, -77).
>>
>> you'll get an error if there are numeric as well as string variables
>> in the dataset.
>>
>> This makes no sense in my opinion as -99 cannot be a string anyway.
>> I think it would be helpful to let SPSS know that ALL in this context
>> means all numeric variables.
>> Alternatively, introducing a new keyword ALLNUMERIC would stop this
>> annoying behavior.
>>
>> Does anybody know an easy way without Python to make SPSS define mv
>> for all numeric variables with one command?
>>
>> Thanks for any ideas,
>> Mario.
>> ===================== To manage your subscription to SPSSX-L, send a
>> message to

> LISTSERV@.UGA

>
>> <mailto:

> LISTSERV@.UGA

> > (not to SPSSX-L), with no body text
>> except the command. To leave the list, send the command SIGNOFF
>> SPSSX-L For a list of commands to manage subscriptions, send the
>> command INFO REFCARD
>
>
>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

>  (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD





-----
--
Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/

"When all else fails, RTFM."

NOTE: My Hotmail account is not monitored regularly.
To send me an e-mail, please use the address shown above.

--
View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Missing-Values-with-ALL-keyword-tp5734449p5734453.html
Sent from the SPSSX Discussion mailing list archive at Nabble.com.

=====================
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[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD



--
Jon K Peck
[hidden email]

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

WillBaileyz
In reply to this post by Mario Giesel-2

Right after posting this Jon reminded us about one of his extensions that might help

W

 

" ----------------------------

On 6/20/2017 3:29:20 PM, Jon Peck ([hidden email]) wrote

There are plenty of other classifications of variables that would be useful in selecting variables such as ALLSCALE and ALLCATEGORICAL along with qualifiers in name patterns, e.g., all variable names containing AGE, custom attributes etc.  And these can be used together.  That's why I created SPSSINC SELECT VARIABLES to provide a general mechanism that can be used anywhere a variable selection is needed.  And since it accommodates custom user attributes, it is open to users making up their own categories, e.g., all demographic variables).

 

Adding reserved words breaks jobs, so it is really a last resort.  With customers who have thousands of SPSS jobs, this is not a minor matter.

 

Of course, I am just a customer now, so I have no official say in the matter.

 

------------"

 

> On 6/20/2017 3:12:20 PM, Willbaileyz @ E ([hidden email]) wrote:


> > And, FYI, it still hasn't been incorporated with the new V25 beta under test
>

>
> So, let's keep asking
>
> Will
>
> > On 6/20/2017 2:11:40 PM, Bruce Weaver ([hidden email]) wrote:
> > > I agree that these would be very useful additions to native SPSS. 
> >
> >
> > Kirill Orlov wrote
> > > This is indeed some inconvenience. I suggested, officially, SPSS to
> > > introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> > > in 2003.
> > > It has never been implemented.
> > >
> > >
> > > 20.06.2017 18:34, Mario Giesel
пишет:
> > >> Hi all,
> > >>
> > >>   when you run
> > >>
> > >> MISSING VALUES ALL (-99, -77).
> > >>
> > >> you'll get an error if there are numeric as well as string variables
> > >> in the dataset.
> > >>
> > >> This makes no sense in my opinion as -99 cannot be a string anyway.
> > >> I think it would be helpful to let SPSS know that ALL in this context
> > >> means all numeric variables.
> > >> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> > >>

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Mario Giesel-2
Thanks to all!
Jon, SPSSINC SELECT VARIABLES works well.
How can I access a documentation for this or other extension commands?

Thanks again!
  Mario


"Willbaileyz @ E" <[hidden email]> schrieb am 23:52 Dienstag, 20.Juni 2017:


Right after posting this Jon reminded us about one of his extensions that might help
W
 
" ----------------------------
On 6/20/2017 3:29:20 PM, Jon Peck ([hidden email]) wrote
There are plenty of other classifications of variables that would be useful in selecting variables such as ALLSCALE and ALLCATEGORICAL along with qualifiers in name patterns, e.g., all variable names containing AGE, custom attributes etc.  And these can be used together.  That's why I created SPSSINC SELECT VARIABLES to provide a general mechanism that can be used anywhere a variable selection is needed.  And since it accommodates custom user attributes, it is open to users making up their own categories, e.g., all demographic variables).
 
Adding reserved words breaks jobs, so it is really a last resort.  With customers who have thousands of SPSS jobs, this is not a minor matter.
 
Of course, I am just a customer now, so I have no official say in the matter.
 
------------"
 
> On 6/20/2017 3:12:20 PM, Willbaileyz @ E ([hidden email]) wrote:

> > And, FYI, it still hasn't been incorporated with the new V25 beta under test
>

>
> So, let's keep asking
>
> Will
>
> > On 6/20/2017 2:11:40 PM, Bruce Weaver ([hidden email]) wrote:
> > > I agree that these would be very useful additions to native SPSS. 
> >
> >
> > Kirill Orlov wrote
> > > This is indeed some inconvenience. I suggested, officially, SPSS to
> > > introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> > > in 2003.
> > > It has never been implemented.
> > >
> > >
> > > 20.06.2017 18:34, Mario Giesel
пишет:
> > >> Hi all,
> > >>
> > >>   when you run
> > >>
> > >> MISSING VALUES ALL (-99, -77).
> > >>
> > >> you'll get an error if there are numeric as well as string variables
> > >> in the dataset.
> > >>
> > >> This makes no sense in my opinion as -99 cannot be a string anyway.
> > >> I think it would be helpful to let SPSS know that ALL in this context
> > >> means all numeric variables.
> > >> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> > >>
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD


===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Mario Giesel-2
Ah, I found it:

SPSSINC SELECT VARIABLES /HELP.

Right?
Thanks,
  Mario


Mario Giesel <[hidden email]> schrieb am 10:36 Mittwoch, 21.Juni 2017:


Thanks to all!
Jon, SPSSINC SELECT VARIABLES works well.
How can I access a documentation for this or other extension commands?

Thanks again!
  Mario


"Willbaileyz @ E" <[hidden email]> schrieb am 23:52 Dienstag, 20.Juni 2017:


Right after posting this Jon reminded us about one of his extensions that might help
W
 
" ----------------------------
On 6/20/2017 3:29:20 PM, Jon Peck ([hidden email]) wrote
There are plenty of other classifications of variables that would be useful in selecting variables such as ALLSCALE and ALLCATEGORICAL along with qualifiers in name patterns, e.g., all variable names containing AGE, custom attributes etc.  And these can be used together.  That's why I created SPSSINC SELECT VARIABLES to provide a general mechanism that can be used anywhere a variable selection is needed.  And since it accommodates custom user attributes, it is open to users making up their own categories, e.g., all demographic variables).
 
Adding reserved words breaks jobs, so it is really a last resort.  With customers who have thousands of SPSS jobs, this is not a minor matter.
 
Of course, I am just a customer now, so I have no official say in the matter.
 
------------"
 
> On 6/20/2017 3:12:20 PM, Willbaileyz @ E ([hidden email]) wrote:

> > And, FYI, it still hasn't been incorporated with the new V25 beta under test
>

>
> So, let's keep asking
>
> Will
>
> > On 6/20/2017 2:11:40 PM, Bruce Weaver ([hidden email]) wrote:
> > > I agree that these would be very useful additions to native SPSS. 
> >
> >
> > Kirill Orlov wrote
> > > This is indeed some inconvenience. I suggested, officially, SPSS to
> > > introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> > > in 2003.
> > > It has never been implemented.
> > >
> > >
> > > 20.06.2017 18:34, Mario Giesel
пишет:
> > >> Hi all,
> > >>
> > >>   when you run
> > >>
> > >> MISSING VALUES ALL (-99, -77).
> > >>
> > >> you'll get an error if there are numeric as well as string variables
> > >> in the dataset.
> > >>
> > >> This makes no sense in my opinion as -99 cannot be a string anyway.
> > >> I think it would be helpful to let SPSS know that ALL in this context
> > >> means all numeric variables.
> > >> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> > >>
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD




===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
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Re: Missing Values with ALL keyword

Jon Peck
Also, you can put the cursor on an instance of the command in the Syntax Editor and press F1 for help just as you can for built-in commands.  This works in V23 or later.

The Extensions menu, V24+ or Utilities > Extension Bundles > Download and Install... in V22-23 will show you a list of all the available extensions.  The V24 display is much nicer than the older one.

On Wed, Jun 21, 2017 at 3:02 AM, Mario Giesel <[hidden email]> wrote:
Ah, I found it:

SPSSINC SELECT VARIABLES /HELP.

Right?
Thanks,
  Mario


Mario Giesel <[hidden email]> schrieb am 10:36 Mittwoch, 21.Juni 2017:


Thanks to all!
Jon, SPSSINC SELECT VARIABLES works well.
How can I access a documentation for this or other extension commands?

Thanks again!
  Mario


"Willbaileyz @ E" <[hidden email]> schrieb am 23:52 Dienstag, 20.Juni 2017:


Right after posting this Jon reminded us about one of his extensions that might help
W
 
" ----------------------------
On 6/20/2017 3:29:20 PM, Jon Peck ([hidden email]) wrote
There are plenty of other classifications of variables that would be useful in selecting variables such as ALLSCALE and ALLCATEGORICAL along with qualifiers in name patterns, e.g., all variable names containing AGE, custom attributes etc.  And these can be used together.  That's why I created SPSSINC SELECT VARIABLES to provide a general mechanism that can be used anywhere a variable selection is needed.  And since it accommodates custom user attributes, it is open to users making up their own categories, e.g., all demographic variables).
 
Adding reserved words breaks jobs, so it is really a last resort.  With customers who have thousands of SPSS jobs, this is not a minor matter.
 
Of course, I am just a customer now, so I have no official say in the matter.
 
------------"
 
> On 6/20/2017 3:12:20 PM, Willbaileyz @ E ([hidden email]) wrote:

> > And, FYI, it still hasn't been incorporated with the new V25 beta under test
>

>
> So, let's keep asking
>
> Will
>
> > On 6/20/2017 2:11:40 PM, Bruce Weaver ([hidden email]) wrote:
> > > I agree that these would be very useful additions to native SPSS. 
> >
> >
> > Kirill Orlov wrote
> > > This is indeed some inconvenience. I suggested, officially, SPSS to
> > > introduce keywords ALLNUM and ALLSTR as reserved words, like ALL, back
> > > in 2003.
> > > It has never been implemented.
> > >
> > >
> > > 20.06.2017 18:34, Mario Giesel
пишет:
> > >> Hi all,
> > >>
> > >>   when you run
> > >>
> > >> MISSING VALUES ALL (-99, -77).
> > >>
> > >> you'll get an error if there are numeric as well as string variables
> > >> in the dataset.
> > >>
> > >> This makes no sense in my opinion as -99 cannot be a string anyway.
> > >> I think it would be helpful to let SPSS know that ALL in this context
> > >> means all numeric variables.
> > >> Alternatively, introducing a new keyword ALLNUMERIC would stop this
> > >>
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD




===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD



--
Jon K Peck
[hidden email]

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD