Range for nonnormal variables

[glegaspi711]

Is it possible to get the range for non-normal variables instead of the first and third quartile? How would I be able to do this?

[tompollard]

There's no straightforward way to swap out the quartiles for range that I can think of, but it's something that we could implement without too much effort.

The main question for adding this feature is how it should be handled in the arguments. If you have a suggestion, please add to this thread...

[glegaspi711]

Its possible that one could just add: if nonnormal = r, or nonnormal = q, then carry out the appropriate arguments. like an if, elif, else statement.

[tompollard]

Vincent Lequertier kindly contributed a patch to add a min_max argument, which I think addresses this issue. For example, to display age ranges, set the min_max argument to ['Age']:

from tableone import TableOne, load_dataset
data = load_dataset('pn2012')

columns = ['Age', 'SysABP', 'Height', 'Weight', 'ICU', 'death']

# columns containing categorical variables
categorical = ['ICU']

# set decimal places for age to 0
decimals = {"Age": 0}

# non-normal variables
nonnormal = ['Age']

# optionally, a categorical variable for stratification
groupby = ['death']

t1 = TableOne(data, columns=columns, categorical=categorical,
              groupby=groupby, nonnormal=nonnormal, decimals=decimals,
              min_max=['Age'])

print(t1.tabulate(tablefmt="github"))

		Missing	Overall	0	1
n			1000	864	136
Age, median [min,max]		0	68 [16,90]	66 [16,90]	75 [26,90]
SysABP, mean (SD)		291	114.3 (40.2)	115.4 (38.3)	107.6 (49.4)
Height, mean (SD)		475	170.1 (22.1)	170.3 (23.2)	168.5 (11.3)
Weight, mean (SD)		302	82.9 (23.8)	83.0 (23.6)	82.3 (25.4)
ICU, n (%)	CCU	0	162 (16.2)	137 (15.9)	25 (18.4)
	CSRU		202 (20.2)	194 (22.5)	8 (5.9)
	MICU		380 (38.0)	318 (36.8)	62 (45.6)
	SICU		256 (25.6)	215 (24.9)	41 (30.1)

[tompollard]

@glegaspi711 this argument is available in version 0.7.6.

[tompollard]

@glegaspi711 I think your request has been addressed, but please reopen the issue if not.