Optionally use minimum and maximum values instead of Q1-Q3 for non-co…

[tompollard]

Patch by Vincent Lequertier to add a min_max argument to optionally use minimum and maximum values instead of Q1-Q3 for non-continuous variables. Ref #95.

[tompollard]

instead of this being a boolean argument, it should perhaps take a list of variables that should display min_max.

[tompollard]

min_max now takes a list instead of a boolean. e.g.

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)