Question about compute ABS formula SPSS

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Question about compute ABS formula SPSS

LO2345
Hello everyone,

I need help with the analysis of the data for my thesis. I have imported all
the data from an Excel file, but the data were classified as string
variables. To run the syntax compute variable, I had to change the variables
to numeric variables. So I did that with Automatic Recode and it worked, but
when I run the syntax now, it calculates all the labels instead of the
actual values.

This is the formula

COMPUTE trajlength = ABS(X_2 - X_1) + ABS(X_3 - X_2) + ABS(X_4 - X_3) +
ABS(X_5 - X_4) + ABS(X_6 - X_5) +

ABS(X_7 - X_6) + ABS(X_8 - X_7) + ABS(X_9 - X_8) + ABS(X_10 - X_9) +
ABS(X_11 - X_10) +

ABS(X_12 - X_11) + ABS(X_13 - X_12) + ABS(X_14 - X_13) + ABS(X_15 - X_14) +
ABS(X_16 - X_15) +

ABS(X_17 - X_16) + ABS(X_18 - X_17) + ABS(X_19 - X_18) + ABS(X_20 - X_19) +
ABS(X_21 - X_20) +

ABS(X_22 - X_21) + ABS(X_23 - X_22) + ABS(X_24 - X_23) + ABS(X_25 - X_24) +
ABS(X_26 - X_25) +

ABS(X_27 - X_26) + ABS(X_28 - X_27) + ABS(X_29 - X_28) + ABS(X_30 - X_29) +
ABS(X_31 - X_30) +

ABS(X_32 - X_31) + ABS(X_33 - X_32) + ABS(X_34 - X_33) + ABS(X_35 - X_34) +
ABS(X_36 - X_35) +

ABS(X_37 - X_36) + ABS(X_38 - X_37) + ABS(X_39 - X_38) + ABS(X_40 - X_39) +
ABS(X_41 - X_40) +

ABS(X_42 - X_41) + ABS(X_43 - X_42) + ABS(X_44 - X_43) + ABS(X_45 - X_44) +
ABS(X_46 - X_45) +

ABS(X_47 - X_46) + ABS(X_48 - X_47) + ABS(X_49 - X_48) + ABS(X_50 - X_49) +
ABS(X_51 - X_50) +

ABS(X_52 - X_51) + ABS(X_53 - X_52) + ABS(X_54 - X_53) + ABS(X_55 - X_54) +
ABS(X_56 - X_55) +

ABS(X_57 - X_56) + ABS(X_58 - X_57) + ABS(X_59 - X_58) + ABS(X_60 - X_59) +
ABS(X_61 - X_60) +

ABS(X_62 - X_61) + ABS(X_63 - X_62) + ABS(X_64 - X_63) + ABS(X_65 - X_64) +
ABS(X_66 - X_65) +

ABS(X_67 - X_66) + ABS(X_68 - X_67) + ABS(X_69 - X_68) + ABS(X_70 - X_69) +
ABS(X_71 - X_70) +

ABS(X_72 - X_71) + ABS(X_73 - X_72) + ABS(X_74 - X_73) + ABS(X_75 - X_74) +
ABS(X_76 - X_75) +

ABS(X_77 - X_76) + ABS(X_78 - X_77) + ABS(X_79 - X_78) + ABS(X_80 - X_79) +
ABS(X_81 - X_80) +

ABS(X_82 - X_81) + ABS(X_83 - X_82) + ABS(X_84 - X_83) + ABS(X_85 - X_84) +
ABS(X_86 - X_85) +

ABS(X_87 - X_86) + ABS(X_88 - X_87) + ABS(X_89 - X_88) + ABS(X_90 - X_89) +
ABS(X_91 - X_90) +

ABS(X_92 - X_91) + ABS(X_93 - X_92) + ABS(X_94 - X_93) + ABS(X_95 - X_94) +
ABS(X_96 - X_95) +

ABS(X_97 - X_96) + ABS(X_98 - X_97) + ABS(X_99 - X_98) + ABS(X_100 - X_99) +
ABS(X_101 - X_100).

So for example, the actual data is -0.002 and -0.004 but because of the
labels these are numbered 12 and 14. That means that the outcomes under the
new variable are not the actual values and these are actually way higher
than should be.

Is there any way that I can remove these labels or do something else so that
the formula calculates the right values?



--
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Re: Question about compute ABS formula SPSS

spss.giesel@yahoo.de
Hi,
try the VALUELABEL function like this:

STRING X_1s (A20).
COMPUTE X_1s = VALUELABEL(X_1).

Good luck,

Mario Giesel
Munich, Germany

Am Mittwoch, 30. Dezember 2020, 15:05:07 MEZ hat LO2345 <[hidden email]> Folgendes geschrieben:


Hello everyone,

I need help with the analysis of the data for my thesis. I have imported all
the data from an Excel file, but the data were classified as string
variables. To run the syntax compute variable, I had to change the variables
to numeric variables. So I did that with Automatic Recode and it worked, but
when I run the syntax now, it calculates all the labels instead of the
actual values.

This is the formula

COMPUTE trajlength = ABS(X_2 - X_1) + ABS(X_3 - X_2) + ABS(X_4 - X_3) +
ABS(X_5 - X_4) + ABS(X_6 - X_5) +

ABS(X_7 - X_6) + ABS(X_8 - X_7) + ABS(X_9 - X_8) + ABS(X_10 - X_9) +
ABS(X_11 - X_10) +

ABS(X_12 - X_11) + ABS(X_13 - X_12) + ABS(X_14 - X_13) + ABS(X_15 - X_14) +
ABS(X_16 - X_15) +

ABS(X_17 - X_16) + ABS(X_18 - X_17) + ABS(X_19 - X_18) + ABS(X_20 - X_19) +
ABS(X_21 - X_20) +

ABS(X_22 - X_21) + ABS(X_23 - X_22) + ABS(X_24 - X_23) + ABS(X_25 - X_24) +
ABS(X_26 - X_25) +

ABS(X_27 - X_26) + ABS(X_28 - X_27) + ABS(X_29 - X_28) + ABS(X_30 - X_29) +
ABS(X_31 - X_30) +

ABS(X_32 - X_31) + ABS(X_33 - X_32) + ABS(X_34 - X_33) + ABS(X_35 - X_34) +
ABS(X_36 - X_35) +

ABS(X_37 - X_36) + ABS(X_38 - X_37) + ABS(X_39 - X_38) + ABS(X_40 - X_39) +
ABS(X_41 - X_40) +

ABS(X_42 - X_41) + ABS(X_43 - X_42) + ABS(X_44 - X_43) + ABS(X_45 - X_44) +
ABS(X_46 - X_45) +

ABS(X_47 - X_46) + ABS(X_48 - X_47) + ABS(X_49 - X_48) + ABS(X_50 - X_49) +
ABS(X_51 - X_50) +

ABS(X_52 - X_51) + ABS(X_53 - X_52) + ABS(X_54 - X_53) + ABS(X_55 - X_54) +
ABS(X_56 - X_55) +

ABS(X_57 - X_56) + ABS(X_58 - X_57) + ABS(X_59 - X_58) + ABS(X_60 - X_59) +
ABS(X_61 - X_60) +

ABS(X_62 - X_61) + ABS(X_63 - X_62) + ABS(X_64 - X_63) + ABS(X_65 - X_64) +
ABS(X_66 - X_65) +

ABS(X_67 - X_66) + ABS(X_68 - X_67) + ABS(X_69 - X_68) + ABS(X_70 - X_69) +
ABS(X_71 - X_70) +

ABS(X_72 - X_71) + ABS(X_73 - X_72) + ABS(X_74 - X_73) + ABS(X_75 - X_74) +
ABS(X_76 - X_75) +

ABS(X_77 - X_76) + ABS(X_78 - X_77) + ABS(X_79 - X_78) + ABS(X_80 - X_79) +
ABS(X_81 - X_80) +

ABS(X_82 - X_81) + ABS(X_83 - X_82) + ABS(X_84 - X_83) + ABS(X_85 - X_84) +
ABS(X_86 - X_85) +

ABS(X_87 - X_86) + ABS(X_88 - X_87) + ABS(X_89 - X_88) + ABS(X_90 - X_89) +
ABS(X_91 - X_90) +

ABS(X_92 - X_91) + ABS(X_93 - X_92) + ABS(X_94 - X_93) + ABS(X_95 - X_94) +
ABS(X_96 - X_95) +

ABS(X_97 - X_96) + ABS(X_98 - X_97) + ABS(X_99 - X_98) + ABS(X_100 - X_99) +
ABS(X_101 - X_100).

So for example, the actual data is -0.002 and -0.004 but because of the
labels these are numbered 12 and 14. That means that the outcomes under the
new variable are not the actual values and these are actually way higher
than should be.

Is there any way that I can remove these labels or do something else so that
the formula calculates the right values?



--

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Re: Question about compute ABS formula SPSS

Jon Peck
In reply to this post by LO2345
I answered this earlier on the IBM Predictive Analytics site.

On Wed, Dec 30, 2020 at 7:05 AM LO2345 <[hidden email]> wrote:
Hello everyone,

I need help with the analysis of the data for my thesis. I have imported all
the data from an Excel file, but the data were classified as string
variables. To run the syntax compute variable, I had to change the variables
to numeric variables. So I did that with Automatic Recode and it worked, but
when I run the syntax now, it calculates all the labels instead of the
actual values.

This is the formula

COMPUTE trajlength = ABS(X_2 - X_1) + ABS(X_3 - X_2) + ABS(X_4 - X_3) +
ABS(X_5 - X_4) + ABS(X_6 - X_5) +

ABS(X_7 - X_6) + ABS(X_8 - X_7) + ABS(X_9 - X_8) + ABS(X_10 - X_9) +
ABS(X_11 - X_10) +

ABS(X_12 - X_11) + ABS(X_13 - X_12) + ABS(X_14 - X_13) + ABS(X_15 - X_14) +
ABS(X_16 - X_15) +

ABS(X_17 - X_16) + ABS(X_18 - X_17) + ABS(X_19 - X_18) + ABS(X_20 - X_19) +
ABS(X_21 - X_20) +

ABS(X_22 - X_21) + ABS(X_23 - X_22) + ABS(X_24 - X_23) + ABS(X_25 - X_24) +
ABS(X_26 - X_25) +

ABS(X_27 - X_26) + ABS(X_28 - X_27) + ABS(X_29 - X_28) + ABS(X_30 - X_29) +
ABS(X_31 - X_30) +

ABS(X_32 - X_31) + ABS(X_33 - X_32) + ABS(X_34 - X_33) + ABS(X_35 - X_34) +
ABS(X_36 - X_35) +

ABS(X_37 - X_36) + ABS(X_38 - X_37) + ABS(X_39 - X_38) + ABS(X_40 - X_39) +
ABS(X_41 - X_40) +

ABS(X_42 - X_41) + ABS(X_43 - X_42) + ABS(X_44 - X_43) + ABS(X_45 - X_44) +
ABS(X_46 - X_45) +

ABS(X_47 - X_46) + ABS(X_48 - X_47) + ABS(X_49 - X_48) + ABS(X_50 - X_49) +
ABS(X_51 - X_50) +

ABS(X_52 - X_51) + ABS(X_53 - X_52) + ABS(X_54 - X_53) + ABS(X_55 - X_54) +
ABS(X_56 - X_55) +

ABS(X_57 - X_56) + ABS(X_58 - X_57) + ABS(X_59 - X_58) + ABS(X_60 - X_59) +
ABS(X_61 - X_60) +

ABS(X_62 - X_61) + ABS(X_63 - X_62) + ABS(X_64 - X_63) + ABS(X_65 - X_64) +
ABS(X_66 - X_65) +

ABS(X_67 - X_66) + ABS(X_68 - X_67) + ABS(X_69 - X_68) + ABS(X_70 - X_69) +
ABS(X_71 - X_70) +

ABS(X_72 - X_71) + ABS(X_73 - X_72) + ABS(X_74 - X_73) + ABS(X_75 - X_74) +
ABS(X_76 - X_75) +

ABS(X_77 - X_76) + ABS(X_78 - X_77) + ABS(X_79 - X_78) + ABS(X_80 - X_79) +
ABS(X_81 - X_80) +

ABS(X_82 - X_81) + ABS(X_83 - X_82) + ABS(X_84 - X_83) + ABS(X_85 - X_84) +
ABS(X_86 - X_85) +

ABS(X_87 - X_86) + ABS(X_88 - X_87) + ABS(X_89 - X_88) + ABS(X_90 - X_89) +
ABS(X_91 - X_90) +

ABS(X_92 - X_91) + ABS(X_93 - X_92) + ABS(X_94 - X_93) + ABS(X_95 - X_94) +
ABS(X_96 - X_95) +

ABS(X_97 - X_96) + ABS(X_98 - X_97) + ABS(X_99 - X_98) + ABS(X_100 - X_99) +
ABS(X_101 - X_100).

So for example, the actual data is -0.002 and -0.004 but because of the
labels these are numbered 12 and 14. That means that the outcomes under the
new variable are not the actual values and these are actually way higher
than should be.

Is there any way that I can remove these labels or do something else so that
the formula calculates the right values?



--
Sent from: http://spssx-discussion.1045642.n5.nabble.com/

=====================
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Jon K Peck
[hidden email]

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Re: Question about compute ABS formula SPSS

David Marso-2
In reply to this post by LO2345
Make a U turn. AUTORECODE while very useful in some cases is a lethal dead end for you. Before you crash and burn look into the NUMBER function to convert your string values to proper numerical values.

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Re: Question about compute ABS formula SPSS

Jon Peck
The answer I posted was to just use ALTER TYPE on all those variables - one command.

On Wed, Dec 30, 2020 at 7:26 AM David Marso <[hidden email]> wrote:
Make a U turn. AUTORECODE while very useful in some cases is a lethal dead end for you. Before you crash and burn look into the NUMBER function to convert your string values to proper numerical values.

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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: Question about compute ABS formula SPSS

Bruce Weaver
Administrator
And after that one ALTER TYPE command, how about using VECTOR and LOOP in
place of that LONG COMPUTE command?  This is not tested, but I think it will
work:

COMPUTE trajlength = 0.
VECTOR X = X_1 to X_101.
LOOP # = 1 to 100.
  COMPUTE trajlength = trajlength + ABS(X(#+1)-X(#)).
END LOOP.



Jon Peck wrote
> The answer I posted was to just use ALTER TYPE on all those variables -
> one
> command.
>
> On Wed, Dec 30, 2020 at 7:26 AM David Marso &lt;

> dmmugaspss@

> &gt; wrote:
>
>> Make a U turn. AUTORECODE while very useful in some cases is a lethal
>> dead
>> end for you. Before you crash and burn look into the NUMBER function to
>> convert your string values to proper numerical values.
>>
>> =====================
>> 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
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>> INFO REFCARD
>>
>
>
> --
> Jon K Peck

> jkpeck@

>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

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-----
--
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.

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=====================
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"When all else fails, RTFM."

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Re: Question about compute ABS formula SPSS

Jon Peck
The solution I posted elsewhere, after the ALTER TYPE step, has the minor advantage that it is independent of the number of variables.

begin program python3.

def deltasum(*args):

deltas = sum([abs(args[i] - args[i-1]) for i in range(1, len(args))])

return deltas

end program.


spssinc trans result = absdeltas

/variables x1 to x101

/formula "deltasum(<>)".



On Wed, Dec 30, 2020 at 2:09 PM Bruce Weaver <[hidden email]> wrote:
And after that one ALTER TYPE command, how about using VECTOR and LOOP in
place of that LONG COMPUTE command?  This is not tested, but I think it will
work:

COMPUTE trajlength = 0.
VECTOR X = X_1 to X_101.
LOOP # = 1 to 100.
  COMPUTE trajlength = trajlength + ABS(X(#+1)-X(#)).
END LOOP.



Jon Peck wrote
> The answer I posted was to just use ALTER TYPE on all those variables -
> one
> command.
>
> On Wed, Dec 30, 2020 at 7:26 AM David Marso &lt;

> dmmugaspss@

> &gt; wrote:
>
>> Make a U turn. AUTORECODE while very useful in some cases is a lethal
>> dead
>> end for you. Before you crash and burn look into the NUMBER function to
>> convert your string values to proper numerical values.
>>
>> =====================
>> 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
>>
>
>
> --
> Jon K Peck

> jkpeck@

>
> =====================
> To manage your subscription to SPSSX-L, send a message to

> LISTSERV@.UGA

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-----
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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.

--
Sent from: http://spssx-discussion.1045642.n5.nabble.com/

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[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: Question about compute ABS formula SPSS

Rich Ulrich
I suppose I might want to look at the sum of the differences.

But if someone asked me to give them that, I would suggest
that they might (also) want to get the sum of the squared
differences, which are automatically positive numbers.  Getting
that only entails changing the function, whichever method is used.

Then I would compute the mean of the squared differences, and
take the square root.  This "root mean square" is essentially a
standard deviation. Folks are more accustomed to standard deviations
than to absolute deviations. If there is a trend line, having the RMS
puts you in a better position to evaluate it further. 

--
Rich Ulrich

From: SPSSX(r) Discussion <[hidden email]> on behalf of Jon Peck <[hidden email]>
Sent: Wednesday, December 30, 2020 4:16 PM
To: [hidden email] <[hidden email]>
Subject: Re: Question about compute ABS formula SPSS
 
The solution I posted elsewhere, after the ALTER TYPE step, has the minor advantage that it is independent of the number of variables.

begin program python3.

def deltasum(*args):

deltas = sum([abs(args[i] - args[i-1]) for i in range(1, len(args))])

return deltas

end program.


spssinc trans result = absdeltas

/variables x1 to x101

/formula "deltasum(<>)".



On Wed, Dec 30, 2020 at 2:09 PM Bruce Weaver <[hidden email]> wrote:
And after that one ALTER TYPE command, how about using VECTOR and LOOP in
place of that LONG COMPUTE command?  This is not tested, but I think it will
work:

COMPUTE trajlength = 0.
VECTOR X = X_1 to X_101.
LOOP # = 1 to 100.
  COMPUTE trajlength = trajlength + ABS(X(#+1)-X(#)).
END LOOP.



Jon Peck wrote
> The answer I posted was to just use ALTER TYPE on all those variables -
> one
> command.
>
> On Wed, Dec 30, 2020 at 7:26 AM David Marso &lt;

> dmmugaspss@

> &gt; wrote:
>
>> Make a U turn. AUTORECODE while very useful in some cases is a lethal
>> dead
>> end for you. Before you crash and burn look into the NUMBER function to
>> convert your string values to proper numerical values.
>>
>> =====================
>> 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
>>
>
>
> --
> Jon K Peck

> jkpeck@

>
> =====================
> 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
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-----
--
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.

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=====================
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
===================== 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