I have a dataset (See below) where I want to filter out any observations where there is only a 1 in the McDonalds column, such as for ID#3 (I do not want Mcdonalds in my analyses). I want to keep any observations where there is a 1 in other columns (eventhough there is a 1 in the McDonalds column - such as ID #1-2). I have tried using the select cases option, and just putting McDonalds=0, but this filters out any observations where there are 1s in the other columns as well. Below is a sample of my dataset, I actually have many more columns and was trying to avoid having to individually name every other column in the "Select Cases" option in SPSS. Would anyone be able to help me please? Thanks.
Data:
To avoid naming each of the other columns separately you can use to in the syntax. Also, basically, you want to keep lines that have 1 in any of the other columns regardless of the value in the Mcdonald's column, so there is no need to mention it in the syntax.
So say for example that your column names are McDonalds, RedBull, var3, var4, var5, TacoBell, you could use either of these following options:
select if any(1, RedBull to TacoBell).
or this :
select if sum(RedBull to TacoBell)>1.
Note: using the to convention requires that the relevant variables be contiguous in the data.
You just need to add the "OR" operator (which is the vertical bar: |) between all the mentioned conditions.
So basically, you want to keep the cases when McDonalds = 0 | RedBull = 1 | TacoBell = 1.
You can either copy the above line into the Select cases -> If option, or write the following lines into the SPSS syntax file, replacing the DataSet1 for the name of your dataset:
DATASET ACTIVATE DataSet1.
USE ALL.
COMPUTE filter_$=(McDonalds = 0 | RedBull = 1 | TacoBell = 1).
VARIABLE LABELS filter_$ 'McDonalds = 0 | RedBull = 1 | TacoBell = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
I want to create a new variable from two other variables.
The first is SEX (0=male, 1=female; there were no other genders selected by respondents though we had planned for that possibility) whereas the second is RACE9 (0=white, 1=racialized). The new variable is named SEXRACE9.
While the following code produces counts for white males, racialized males, white females and racialized females, the code fails to produce a count for total male or total female.
* Create combined sex and race categorical variable.
IF (sex=0 AND (race9=0 OR race9=1)) sexrace9=1. /*Total males - glitchy.
IF sex=0 AND race9=1 sexrace9=2. /*White males.
IF sex=0 AND race9=0 sexrace9=3. /*Racialized males.
IF (sex=1 AND (race9=0 OR race9=1)) sexrace9=4. /*Total females - glitchy.
IF sex=1 AND race9=1 sexrace9=5. /*White females.
IF sex=1 AND race9=0 sexrace9=6. /*Racialized females.
EXECUTE.
Am I missing something? Alternately, does anyone have a solution for how to insert a count for total males and total females using COMPUTE? Any help is greatly appreciated.
You are missing two key aspects:
Your sexracevariable is intended to define mutually exclusive groups (i.e. - each case will belong to one group, and no case could qualify for more than one group)
SPSS syntax is being run sequentially, line by line, so a syntax line can overwrite previous lines.
More to the point:
IF (sex=0 AND (race9=0 OR race9=1)) sexrace9=1.
is being partially overwritten by
IF sex=0 AND race9=1 sexrace9=2. /*White males.
because white males would qualify for both sexrace=1 and sexrace=2.
, and then by the line
IF sex=0 AND race9=0 sexrace9=3. /*Racialized males.
, because Racialized males qualify for both sexrace=1 and sexrace =3.
So I am guessing that no cases ghave sexrace=1 after running your syntax :)
Exactly the same logic goes for Females.
I am not sure what you want to achieve by your Total Males and Total Femalessyntax lines. You already have the sexvariable to differentiate between males and females.
I have the following situation: a loop (stack data) with only 1 index variable and with multiple items corresponding to the statements, as in the picture below (sorry it is Excel, but is the same as in SPSS):
stack data - cases on multiple lines, but never filling for 1 respondent all the columns
I want to reach to the following situation but without using casestovars to restructure, because that creates a lot of empty variables. I remember for older versions it was a command like Update, which was moving up the cases, to reach the following result:
reducing the cases per respondent
Like starting from this:
ID Index Q1_1 Q1_2 Q1_3 Q1_4 Q1_5 Q1_6
1 1 1 1
1 2 1 1
1 3 1 1
To reach to this:
ID Q1_1 Q1_2 Q1_3 Q1_4 Q1_5 Q1_6
1 1 1 1 1 1 1
But without using casestovars. Is there any command in SPSS syntax for this?
Thank you very much, have a nice day!
Not entirely sure how variable your data structure is likely to be in reality but if as demo'ed where you have only a single response for each q1_1 to q1_6 per respondent ID, then the below would be sufficient:
dataset declare dsAgg.
aggregate outfile="dsAgg" /break=respid /q1_1 to q1_6=max(q1_1 to q1_6).
Also not sure of the significance of duplicate index values within the same respondent IDs, if this was intended or not.
The following syntax could do the job -
* first we'll recreate your example data.
data list list/respid index q1_1 to q1_6.
begin data
1,1,1,,,,,
1,2,,2,,,,
1,3,,,1,,,
1,4,,,,2,,
1,5,,,,,1,
1,6,,,,,,2
2,1,3,,,,,
2,1,,4,,,,
2,2,,,5,,,
2,2,,,,4,,
2,3,,,,,3,
2,3,,,,,,2
end data.
* now to work: first thing is to make sure the data from each ID are together.
sort cases by respid index.
* the loop will fill down the data to the last line of each ID.
do repeat qq=q1_1 to q1_6.
if respid=lag(respid) and missing(qq) qq=lag(qq).
end repeat.
* the following lines will help recognize the last line for each ID and select it.
compute lineNR=$casenum.
aggregate /outfile=* mode=ADDVARIABLES/break=respid/MXlineNR=max(lineNR).
select if lineNR=MXlineNR.
exe.
I have two variables (id and Var1) in SPSS as below. I want to sort Var1 as descending order but other variables do not change accordingly with Var1. i.e. other variable will remain same as before sort.
My data is...
id Var1
-- ----
M-1 3
M-2 4
M-3 2
M-4 7
But I want like this..
id Var1
-- ----
M-1 7
M-2 4
M-3 3
M-4 2
My Syntax/code is...
data list list
/id(A3) Var1(F2.0).
begin data.
M-1 3
M-2 4
M-3 2
M-4 7
end data.
sort cases by BY Var1(D).
execute.
When I run this code it also sort id according to Var1. But I do not want to expand this sort command for entire variables. I only want to sort for current selection variable in SPSS.
Can anyone help using SPSS Syntax?
You Could split the dataset sort the Var1 variable and then merge them together. One way to do so would be this:
* create data.
data list list
/id(A3) Var1(F2.0).
begin data.
M-1 3
M-2 4
M-3 2
M-4 7
end data.
DATASET NAME ids.
DATASET COPY sortvar.
* Delete sort variable (Var1) from dataset "ids".
DELETE VARIABLES Var1.
* Keep only sort variable in dataset "sortvars".
DATASET ACTIVATE sortvar.
DELETE VARIABLES id.
* sort Var1.
SORT CASES BY Var1(D).
* Merge datasets.
MATCH FILES
/FILE ids
/FILE sortvar.
EXECUTE.
If you have lots of variables to delete in the sortvar dataset you could also use the MATCH CASES command:
* Delete all variables but Var1.
DATASET ACTIVATE sortvar.
MATCH CASES
/FILE *
/KEEP Var1.
Alternativly you can use the SAVE command in combination with the KEEP or DROP options in order to split the dataset.
If I have an object that has_many - how would I go about getting back only the results that are related to the original results related ids?
Example:
tier_tbl
| id | name
1 low
2 med
3 high
randomdata_tbl
| id | tier_id | name
1 1 xxx
2 1 yyy
3 2 zzz
I would like to build a query that returns only, in the case of the above example, rows 1 and 2 from tier_tbl, because only 1 and 2 exist in the tier_id data.
Im new to activerecord, and without a loop, don't know a good way of doing this. Does rails allow for this kind of query building in an easier way?
The reasoning behind this is so that I can list only menu items that relate to the specific object I am dealing with. If the object i am dealing with has only the items contained in randomdata_tbl, there is no reason to display the 3rd tier name. So i'd like to omit it completely. I need to go this direction because of the way the models are set up. The example im dealing with is slightly more complicated.
Thanks
Lets call your first table tiers and second table randoms
If tier has many randoms and you want to find all tiers whoes id present in table randoms, you can do it that way:
# database query only
Tier.joins(:randoms).uniq
or
# with some ruby code
Tier.select{ |t| t.randoms.any? }