stdrobust: Standard Deviation Robust
In Mthrun/DataVisualizations: Visualizations of High-Dimensional Data
Stdrobust R Documentation
Standard Deviation Robust
Description
Robust empirical estimation for standard deviation.NaNs are ignored.
Usage
Stdrobust(x, lowInnerPercentile=25,na.rm=TRUE)
Arguments
x
a numerical matrix
lowInnerPercentile
optional; default=25; standard deviation aproximated by percentilinterval.
na.rm
a boolean evaluating to TRUE or FALSE indicating whether all non finite values should be stripped before the computation proceeds.
Value
out
a vector with the calculated standard deviation for the column
Author(s)
Zornitsa Manolova
See Also
sd
quantile
Mthrun/DataVisualizations documentation built on Jan. 16, 2024, 1:01 a.m.
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| Stdrobust | R Documentation |
Standard Deviation Robust
Description
Robust empirical estimation for standard deviation.NaNs are ignored.
Usage
Stdrobust(x, lowInnerPercentile=25,na.rm=TRUE)
Arguments
x |
a numerical matrix |
lowInnerPercentile |
optional; default=25; standard deviation aproximated by percentilinterval. |
na.rm |
a boolean evaluating to TRUE or FALSE indicating whether all non finite values should be stripped before the computation proceeds. |
Value
out |
a vector with the calculated standard deviation for the column |
Author(s)
Zornitsa Manolova
See Also
sd
quantile
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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