Mixing
Delete variables based on the number of observations in SPSS
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
I have a SPSS file that contains about 1000 variables and I have to delete the ones having 0 valid values. I can think of a loop with an if statement but I can't find how to write it.
spss
edited Jan 3 at 2:22
Cœur
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
add a comment |
I have a SPSS file that contains about 1000 variables and I have to delete the ones having 0 valid values. I can think of a loop with an if statement but I can't find how to write it.
spss
edited Jan 3 at 2:22
Cœur
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
add a comment |
I have a SPSS file that contains about 1000 variables and I have to delete the ones having 0 valid values. I can think of a loop with an if statement but I can't find how to write it.
spss
edited Jan 3 at 2:22
Cœur
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
I have a SPSS file that contains about 1000 variables and I have to delete the ones having 0 valid values. I can think of a loop with an if statement but I can't find how to write it.
spss
spss
edited Jan 3 at 2:22
Cœur
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
edited Jan 3 at 2:22
Cœur
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
edited Jan 3 at 2:22
Cœur
19.2k9116155
edited Jan 3 at 2:22
Cœur
19.2k9116155
edited Jan 3 at 2:22
Cœur
19.2k9116155
19.2k9116155
asked Feb 11 '16 at 19:49
RenéRené
113
asked Feb 11 '16 at 19:49
RenéRené
113
asked Feb 11 '16 at 19:49
RenéRené
113
113
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
The simplest way would be to use the spssaux2.FindEmptyVars Python function like this.
begin program.
import spssaux2
spssaux2.FindEmptyVars(delete=True)
end program.
If you don't already have the spssaux2 module installed, you would need to get it from the SPSS Community website or the IBM Predictive Analytics site and save it in the pythonlibsite-packages directory under your Statistics installation.
Otherwise, the VALIDATEDATA command, if you have it, will identify the variables violating such rules as maximum percentage of missing values, but you would have to turn that output into a DELETE VARIABLES command. You could also look for variables with zero missing values using, say, DESCRIPTIVES and select out the ones with N=0.
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
add a comment |
If you've never worked with python in SPSS, here's a way to get the job done without it (not as elegant, but should do the job):
This will count the valid cases in each variable, and select only those that have 0 valid cases. Then you'll manually copy the names of these variables into a syntax command that will delete them.
DATASET NAME Orig.
DATASET DECLARE VARLIST.
AGGREGATE /OUTFILE='VARLIST'/BREAK=
/**list_all_the_variable_names_here = NU(*FirstVarName to *LastVarName).
DATASET ACTIVATE VARLIST.
VARSTOCASES /MAKE NumValid FROM *FirstVarName to *LastVarName/INDEX=VarName(NumValid).
SELECT IF NumValid=0.
EXECUTE.
Pause here to copy the remaining names in the list and complete the syntax, then continue:
DATASET ACTIVATE Orig.
DELETE VARIABLES *paste_here_all_the_remaining_variable_names_from_varlist .
Notes:
* I put stars where you have to replace my text with your variable names.
** If the variables are neatly named like Q1, Q2, Q3 .... Q1000, you can use the "FirstVarName to LastVarName" form (Q1 to Q1000) instead of listing all the variable names.
BTW it is of course possible to do this completely automatically without manually copying those names (using only syntax, no Python), but the added complexity is not worth bothering with for a single use...
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f35348734%2fdelete-variables-based-on-the-number-of-observations-in-spss%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
The simplest way would be to use the spssaux2.FindEmptyVars Python function like this.
begin program.
import spssaux2
spssaux2.FindEmptyVars(delete=True)
end program.
If you don't already have the spssaux2 module installed, you would need to get it from the SPSS Community website or the IBM Predictive Analytics site and save it in the pythonlibsite-packages directory under your Statistics installation.
Otherwise, the VALIDATEDATA command, if you have it, will identify the variables violating such rules as maximum percentage of missing values, but you would have to turn that output into a DELETE VARIABLES command. You could also look for variables with zero missing values using, say, DESCRIPTIVES and select out the ones with N=0.
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
add a comment |
The simplest way would be to use the spssaux2.FindEmptyVars Python function like this.
begin program.
import spssaux2
spssaux2.FindEmptyVars(delete=True)
end program.
If you don't already have the spssaux2 module installed, you would need to get it from the SPSS Community website or the IBM Predictive Analytics site and save it in the pythonlibsite-packages directory under your Statistics installation.
Otherwise, the VALIDATEDATA command, if you have it, will identify the variables violating such rules as maximum percentage of missing values, but you would have to turn that output into a DELETE VARIABLES command. You could also look for variables with zero missing values using, say, DESCRIPTIVES and select out the ones with N=0.
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
add a comment |
The simplest way would be to use the spssaux2.FindEmptyVars Python function like this.
begin program.
import spssaux2
spssaux2.FindEmptyVars(delete=True)
end program.
If you don't already have the spssaux2 module installed, you would need to get it from the SPSS Community website or the IBM Predictive Analytics site and save it in the pythonlibsite-packages directory under your Statistics installation.
Otherwise, the VALIDATEDATA command, if you have it, will identify the variables violating such rules as maximum percentage of missing values, but you would have to turn that output into a DELETE VARIABLES command. You could also look for variables with zero missing values using, say, DESCRIPTIVES and select out the ones with N=0.
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
The simplest way would be to use the spssaux2.FindEmptyVars Python function like this.
begin program.
import spssaux2
spssaux2.FindEmptyVars(delete=True)
end program.
If you don't already have the spssaux2 module installed, you would need to get it from the SPSS Community website or the IBM Predictive Analytics site and save it in the pythonlibsite-packages directory under your Statistics installation.
Otherwise, the VALIDATEDATA command, if you have it, will identify the variables violating such rules as maximum percentage of missing values, but you would have to turn that output into a DELETE VARIABLES command. You could also look for variables with zero missing values using, say, DESCRIPTIVES and select out the ones with N=0.
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
answered Feb 13 '16 at 0:34
JKPJKP
5,22295
5,22295
add a comment |
add a comment |
If you've never worked with python in SPSS, here's a way to get the job done without it (not as elegant, but should do the job):
This will count the valid cases in each variable, and select only those that have 0 valid cases. Then you'll manually copy the names of these variables into a syntax command that will delete them.
DATASET NAME Orig.
DATASET DECLARE VARLIST.
AGGREGATE /OUTFILE='VARLIST'/BREAK=
/**list_all_the_variable_names_here = NU(*FirstVarName to *LastVarName).
DATASET ACTIVATE VARLIST.
VARSTOCASES /MAKE NumValid FROM *FirstVarName to *LastVarName/INDEX=VarName(NumValid).
SELECT IF NumValid=0.
EXECUTE.
Pause here to copy the remaining names in the list and complete the syntax, then continue:
DATASET ACTIVATE Orig.
DELETE VARIABLES *paste_here_all_the_remaining_variable_names_from_varlist .
Notes:
* I put stars where you have to replace my text with your variable names.
** If the variables are neatly named like Q1, Q2, Q3 .... Q1000, you can use the "FirstVarName to LastVarName" form (Q1 to Q1000) instead of listing all the variable names.
BTW it is of course possible to do this completely automatically without manually copying those names (using only syntax, no Python), but the added complexity is not worth bothering with for a single use...
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
add a comment |
If you've never worked with python in SPSS, here's a way to get the job done without it (not as elegant, but should do the job):
This will count the valid cases in each variable, and select only those that have 0 valid cases. Then you'll manually copy the names of these variables into a syntax command that will delete them.
DATASET NAME Orig.
DATASET DECLARE VARLIST.
AGGREGATE /OUTFILE='VARLIST'/BREAK=
/**list_all_the_variable_names_here = NU(*FirstVarName to *LastVarName).
DATASET ACTIVATE VARLIST.
VARSTOCASES /MAKE NumValid FROM *FirstVarName to *LastVarName/INDEX=VarName(NumValid).
SELECT IF NumValid=0.
EXECUTE.
Pause here to copy the remaining names in the list and complete the syntax, then continue:
DATASET ACTIVATE Orig.
DELETE VARIABLES *paste_here_all_the_remaining_variable_names_from_varlist .
Notes:
* I put stars where you have to replace my text with your variable names.
** If the variables are neatly named like Q1, Q2, Q3 .... Q1000, you can use the "FirstVarName to LastVarName" form (Q1 to Q1000) instead of listing all the variable names.
BTW it is of course possible to do this completely automatically without manually copying those names (using only syntax, no Python), but the added complexity is not worth bothering with for a single use...
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
add a comment |
If you've never worked with python in SPSS, here's a way to get the job done without it (not as elegant, but should do the job):
This will count the valid cases in each variable, and select only those that have 0 valid cases. Then you'll manually copy the names of these variables into a syntax command that will delete them.
DATASET NAME Orig.
DATASET DECLARE VARLIST.
AGGREGATE /OUTFILE='VARLIST'/BREAK=
/**list_all_the_variable_names_here = NU(*FirstVarName to *LastVarName).
DATASET ACTIVATE VARLIST.
VARSTOCASES /MAKE NumValid FROM *FirstVarName to *LastVarName/INDEX=VarName(NumValid).
SELECT IF NumValid=0.
EXECUTE.
Pause here to copy the remaining names in the list and complete the syntax, then continue:
DATASET ACTIVATE Orig.
DELETE VARIABLES *paste_here_all_the_remaining_variable_names_from_varlist .
Notes:
* I put stars where you have to replace my text with your variable names.
** If the variables are neatly named like Q1, Q2, Q3 .... Q1000, you can use the "FirstVarName to LastVarName" form (Q1 to Q1000) instead of listing all the variable names.
BTW it is of course possible to do this completely automatically without manually copying those names (using only syntax, no Python), but the added complexity is not worth bothering with for a single use...
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
If you've never worked with python in SPSS, here's a way to get the job done without it (not as elegant, but should do the job):
This will count the valid cases in each variable, and select only those that have 0 valid cases. Then you'll manually copy the names of these variables into a syntax command that will delete them.
DATASET NAME Orig.
DATASET DECLARE VARLIST.
AGGREGATE /OUTFILE='VARLIST'/BREAK=
/**list_all_the_variable_names_here = NU(*FirstVarName to *LastVarName).
DATASET ACTIVATE VARLIST.
VARSTOCASES /MAKE NumValid FROM *FirstVarName to *LastVarName/INDEX=VarName(NumValid).
SELECT IF NumValid=0.
EXECUTE.
Pause here to copy the remaining names in the list and complete the syntax, then continue:
DATASET ACTIVATE Orig.
DELETE VARIABLES *paste_here_all_the_remaining_variable_names_from_varlist .
Notes:
* I put stars where you have to replace my text with your variable names.
** If the variables are neatly named like Q1, Q2, Q3 .... Q1000, you can use the "FirstVarName to LastVarName" form (Q1 to Q1000) instead of listing all the variable names.
BTW it is of course possible to do this completely automatically without manually copying those names (using only syntax, no Python), but the added complexity is not worth bothering with for a single use...
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
edited Mar 1 '16 at 8:03
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
answered Feb 29 '16 at 23:26
eli-keli-k
4,61283040
4,61283040
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f35348734%2fdelete-variables-based-on-the-number-of-observations-in-spss%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
