Struct nanostat::Summary [−][src]
Expand description
A statistical summary of a normally distributed data set.
Created from an iterable of f64
s:
let summary: nanostat::Summary = vec![0.1, 0.45, 0.42].iter().collect();
Fields
n: f64
The number of measurements in the set.
mean: f64
The arithmetic mean of the measurements.
variance: f64
The sample variance of the data set.
Implementations
Calculate the statistical difference between the two summaries using a two-tailed Welch’s
t-test. The confidence level must be in the range (0, 100)
.
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Summary
impl UnwindSafe for Summary
Blanket Implementations
Mutably borrows from an owned value. Read more
The inverse inclusion map: attempts to construct self
from the equivalent element of its
superset. Read more
pub fn is_in_subset(&self) -> bool
pub fn is_in_subset(&self) -> bool
Checks if self
is actually part of its subset T
(and can be converted to it).
pub fn to_subset_unchecked(&self) -> SS
pub fn to_subset_unchecked(&self) -> SS
Use with care! Same as self.to_subset
but without any property checks. Always succeeds.
pub fn from_subset(element: &SS) -> SP
pub fn from_subset(element: &SS) -> SP
The inclusion map: converts self
to the equivalent element of its superset.