scipy.stats.CensoredData.
right_censored#
- classmethod CensoredData.right_censored(x, censored)[source]#
Create a
CensoredData
instance of right-censored data.- Parameters:
- xarray_like
x is the array of observed data or measurements. x must be a one-dimensional sequence of finite numbers.
- censoredarray_like of bool
censored must be a one-dimensional sequence of boolean values. If
censored[k]
is True, the corresponding value in x is right-censored. That is, the valuex[k]
is the lower bound of the true (but unknown) value.
- Returns:
- data
CensoredData
An instance of
CensoredData
that represents the collection of uncensored and right-censored values.
- data
Examples
>>> from scipy.stats import CensoredData
Two uncensored values (4 and 10) and two right-censored values (24 and 25).
>>> data = CensoredData.right_censored([4, 10, 24, 25], ... [False, False, True, True]) >>> data CensoredData(uncensored=array([ 4., 10.]), left=array([], dtype=float64), right=array([24., 25.]), interval=array([], shape=(0, 2), dtype=float64)) >>> print(data) CensoredData(4 values: 2 not censored, 2 right-censored)