utility_functions: Adaptations of common summary functions to return NA if all...
In pnnl/qFeature: Extract Features from Continuous or Discrete Time Series
Description
Usage
Arguments
Value
Author(s)
Description
Adaptations of common summary statistical functions
to return NA if all elements of x are NA. The prefix 'sp' could
be thought of as 'special'. These are internal functions used by
summaryStats.
Usage
1
2
3
4
5
6
7
sp.min(x)
sp.max(x)
sp.sum(x)
sp.count(x)
sp.mean(x)
sp.skewness(x)
sp.kurtosis(x)
Arguments
x
Numeric vector
Value
sp.min, sp.max, sp.sum operate just like
min, max, and sum except they
return NA if all elements of x are NA.
sp.count returns the number of non-missing values in the vector.
However, if all values are missing, it returns NA.
Author(s)
Landon Sego
pnnl/qFeature documentation built on May 25, 2019, 10:22 a.m.
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Description Usage Arguments Value Author(s)
Description
Adaptations of common summary statistical functions
to return NA if all elements of x are NA. The prefix 'sp' could
be thought of as 'special'. These are internal functions used by
summaryStats.
Usage
1 2 3 4 5 6 7 | sp.min(x)
sp.max(x)
sp.sum(x)
sp.count(x)
sp.mean(x)
sp.skewness(x)
sp.kurtosis(x)
|
Arguments
x |
Numeric vector |
Value
sp.min, sp.max, sp.sum operate just like
min, max, and sum except they
return NA if all elements of x are NA.
sp.count returns the number of non-missing values in the vector.
However, if all values are missing, it returns NA.
Author(s)
Landon Sego
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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