Addresses #108 by adding a row_percent argument. If row_percent = True then the percentage for categorical variables will be calculated over the row (rather than column).
from tableone import TableOne, load_dataset
data = load_dataset('pn2012')
columns = ['Age', 'SysABP', 'Height', 'MechVent', 'ICU', 'death']
# columns containing categorical variables
categorical = ['ICU', 'MechVent']
# 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, row_percent=True)
print(t1.tabulate(tablefmt = "github"))
Addresses #108 by adding a
row_percentargument. Ifrow_percent = Truethen the percentage for categorical variables will be calculated over the row (rather than column).