SPSS: Inconsistent totals due to rounding of numbers - spss

Question

I am using weights when running the data with SPSS custom tables.
Thus it is expected that the column or row values may not add up to row total, column total or Table Total due to rounding of decimals
sample table result:
variable 2
category 1 category 2 Total
variable 1 category 1 45 52 97
category 2 60 56 115
Total 105 107 211
Is there a way to force SPSS to output the correct row, column, or table totals?
expected table output:
variable 2
category 1 category 2 Total
variable 1 category 1 45 52 97
category 2 60 56 116
Total 105 108 213

Answer 1

If you are using the CROSSTABS procedure to produce these figures then you should do using the option ASIS.

Answer 2

To be clear: the total displayed by CTABLES is mathematically correct. However, if you want to display as the total the sum of the displayed values in the rows, instead, the only way to do this is by using the STATS TABLE CALC extension command to recompute the totals using the rounded values.
Here is how to do that.
First, you need to create a Python module named customcalc.py with the following contents
def custom(datacells, ncells, roworcol):
'''Calculate sum of formatted values'''
total = sum(float(datacells.GetValueAt(roworcol,i)) for i in range(ncells))
return(total)
This file should be saved in the python\lib\site-packages directory under your Statistics installation or anywhere else that Python can find it.
Then, after your CTABLES command, run this syntax
STATS TABLE CALC SUBTYPE="customtable" PROCESS=PRECEDING
/TARGET custommodule="customcalc"
FORMULA="customcalc.custom(datacells, ncells, roworcol)" DIMENSION=COLUMNS LEVEL = -2 LOCATION="Total"
LABEL="Rounded Count".
That custom function adds up the formatted values in each row instead of the full precision values. If you have suppressed the default statistic name, Count, so that "Total" is the innermost label, use LEVEL=-1 instead of LEVEL=-2 ABOVE.