Dear Statalist,

I want to generate a table that neatly summarizes a set of ANOVA results, just like a summary stats table or a regression table.
I have 6 experimental groups (variable named "conditions") and want to conduct a balance check on my variables of interest.

My current code goes like...
Code:
 foreach var of varlist sex age metropolitan occupation income covid_government covid_threat covid_economic psm knowledge ideology redtape tirt {
   oneway `var' conditions
}
By running this command, I can see which variables have significant differences between groups. However, this gives me an ANOVA table by each variable. I wonder if there is a way to neatly combine these results into a single table.
My data looks like...
Code:
* Example generated by -dataex-. To install: ssc install dataex
* dataex sex age metropolitan occupation income covid_government covid_threat covid_economic psm knowledge ideology redtape tirt conditions
clear
input float(sex age metropolitan occupation income covid_government covid_threat covid_economic psm knowledge ideology redtape tirt conditions)
2 27 1 2  5  3  7  1   3 3 3  5         3 1
1 30 2 6  5  3  2  1 3.4 3 3  5 1.6666666 3
2 28 2 2  3  7  8  7 3.4 3 3  8         3 4
1 36 2 3  3  3  7  1 3.4 4 3  7         2 5
2 29 1 7  6  2  6  7 4.2 4 2  7  3.333333 3
2 42 2 7  7  6 10  7   4 2 3  6         3 2
2 57 1 8  7  8  6  1 3.8 3 4  6  2.666667 3
1 62 1 5  4  4  8  8 3.6 4 1  4         3 2
1 34 2 8  5  4  5  7 2.6 1 3  8  3.333333 4
1 22 2 6  3  4 10  9   5 2 4  7 1.3333334 1
2 54 2 5  5  7  8  5   3 3 3  7         3 1
2 32 1 6  5  8  8  7   4 2 4  5 2.3333333 5
1 30 1 2  4  8 10 10   3 4 3  9  3.333333 6
2 49 2 5  5  3  7  9 3.6 2 2  8         3 1
2 61 2 2  5  5  8  5 3.6 3 3  8         3 4
2 33 2 4  5  5  7  5 2.6 3 3  5         3 2
2 61 1 2  4  6  8 10 3.4 3 3  8  3.333333 4
2 29 2 2  5  8  7  2   3 3 4  7 2.3333333 6
2 26 2 1  7  7  7  4   3 2 3  7         3 2
2 28 1 3  5  7  8  2 3.2 3 4  7         3 2
1 32 1 4  5  5  8  2 4.4 2 4  5         3 1
1 52 1 2  6  7  5 10 3.6 3 4 10 4.3333335 4
2 50 1 6  7  9 10  7 3.6 2 4  8         3 5
1 55 2 4  7  6  7  3   4 4 3  5  3.333333 1
1 69 2 7  1  3  8  7 4.6 5 3  5         3 4
1 29 1 2  5  1  8  1 2.2 3 2  3         2 3
2 28 1 7  5  6  8  8 3.4 3 4  6  2.666667 5
2 25 1 2  5  5 10  6 3.8 2 3  7 2.3333333 5
2 32 1 2  4  4  5  4   3 2 2  5  3.333333 4
2 62 2 2  6  5 10  8 4.4 4 2  7  2.666667 5
2 63 1 7  6  2  8 10 3.4 3 2  9         4 1
2 27 2 6  3  3 10 10   3 3 5 10         5 5
2 20 1 1  7  4  7  4 2.6 2 2  6  3.333333 5
2 31 1 2  6  7  5  1 3.4 3 4  5         2 6
1 44 1 4  5  6  8  2 2.8 4 3  7  2.666667 3
2 38 1 5  4  7  8  9 3.6 3 4  5 1.3333334 3
2 33 1 6  8  1  7  5 3.8 3 2  7 2.3333333 6
2 20 2 1  7  8 10  3 4.2 3 3  5 2.3333333 5
1 39 2 6  7 10  8  2 4.6 4 5  8  3.333333 2
1 38 2 2  3  4  7  7   4 3 3 10  3.333333 2
2 35 2 8  5  6  7  7   4 2 3  4 2.3333333 6
2 33 2 6  6  6  3  5 2.8 1 3  4  3.333333 3
2 31 2 3  4  6  7  2 3.8 3 4  7         2 6
2 24 2 7  6  6  8  7   3 2 3  8         3 5
2 37 2 2  5  8 10  6 3.2 2 4  4         3 3
1 30 2 2  3  3  7  1 2.8 3 4  8 2.3333333 2
2 61 2 8  5  5 10 10   4 3 5  9         3 6
1 44 1 2  5  8  6  1 4.2 4 3  9         3 4
2 60 1 8  8  8  8  6 3.4 3 4  7  3.333333 5
2 34 2 4  6  7  8  7 3.8 3 3  9  3.666667 4
1 31 2 4  3  4  7  6 3.4 3 2  7         3 2
1 40 1 2  5  1 10  8 2.8 4 3 10  3.666667 3
2 42 2 2  5  4 10 10 2.8 3 4  6         3 5
1 49 1 2  7  8  1  6 3.4 3 3  8  3.666667 6
1 29 1 7  3  2  1  1 3.8 3 3  6  3.333333 6
2 51 1 2  7  6  9  5 3.2 3 2  8  2.666667 4
1 64 1 7  5  8  8  6 3.4 4 3  6         3 4
1 36 1 2  6  7  8  5 3.8 3 3  8  3.333333 2
2 34 1 2  6  6  9  7 3.6 3 4  6  2.666667 6
1 42 1 2  6  8  9  8 3.8 3 4  6  3.666667 4
1 45 1 8  4  6  5  8   4 3 3  7         3 5
1 43 2 2  6  7  9  6 3.4 3 3 10         4 6
2 48 1 7  5  8  7  4 3.2 3 4  4 1.6666666 3
1 41 1 2  7 10 10  7 3.2 3 3  7  2.666667 4
2 49 2 8  6  8  8  5 3.6 2 3  6         3 6
1 61 1 2  5  3  7  7 2.8 4 3  7         4 5
2 28 1 2  5  6  5  5   3 2 3  6  2.666667 4
2 47 1 8  5  6  7  5 3.6 3 3  5  2.666667 5
2 58 1 7  4  8  9  6 3.4 3 4  8  3.666667 6
2 52 1 2  7  2  9  9 2.4 3 3  8         3 6
1 64 1 2  4  6  8  6   3 3 1  6  3.333333 6
2 60 1 2  5  7  7  8   4 3 4  7  2.666667 3
1 63 1 5  3  9  7  8 3.2 3 4  4  2.666667 6
1 67 2 7  3  7 10 10   4 4 4  4  2.666667 5
2 49 1 5  1  8  8 10 2.8 3 4  8  3.666667 6
2 35 1 2  5  7 10  7 2.4 3 3  5 2.3333333 6
2 37 1 6  6  3 10  7 2.8 4 3  4  3.333333 1
1 61 2 2  7  9  6  2   4 3 4  3         2 5
2 57 2 4  6  5  6  6 3.4 3 3  8  3.333333 2
1 69 2 7  4  5  8 10 3.8 3 3  4         3 4
1 59 1 5  3  7  7  8 2.6 4 3  7  3.333333 6
1 26 1 3  7  8  7  8 2.6 3 4  8 2.3333333 3
2 59 1 7  4  6  7  7 3.2 3 4  7  3.666667 6
1 32 1 8  4 10  7  8 3.4 4 4  6 2.3333333 1
2 42 2 8  5  5  8  8 3.6 3 4  8         4 4
2 51 1 7  7  7  9  8 3.6 3 3  9         3 4
1 46 1 2 10  6  4  1   2 4 2  8  3.333333 1
2 60 1 2  6  4  5  7   4 4 3  6 2.3333333 2
1 56 1 2  3  2  8  3 3.6 3 2  5         3 2
2 43 2 8  6  7  5  9   4 2 4  7 2.3333333 3
2 33 1 7  3  4  3  4 2.2 3 3  3         3 1
2 26 2 2  5  2 10 10 3.4 3 2 10  3.666667 3
2 49 1 2  4 10  5  3 3.6 3 4  2 1.6666666 4
1 57 2 2  5  9  9  7 3.4 3 4  8         4 5
1 53 1 6  7  9  9  5   4 4 4  5         4 5
1 60 2 7  1  9 10  6   4 4 5  6 2.3333333 5
1 26 1 6  5  4  7  5 3.4 3 4  7         3 2
2 37 2 2  4  6  7  6 2.8 3 4  6 2.3333333 1
2 64 2 7  3  6  6  7 3.2 3 3  7         4 6
1 27 1 7  5  5  4  5   3 2 3  5  2.666667 2
end
This is my first time using dataex; apologies in advance for any errors.
Thanks!