madp: MAD of pooled samples
In floatofmath/adaperm: Permutation tests for adaptive designs
Description
Usage
Arguments
Details
Value
Author(s)
Description
Compute the median absolute deviation pooled over two samples
Usage
1
Arguments
x
vector of observations
y
vector of observations
factor
Scaling factor (deprecated)
Details
We subtract the median from each group and then compute the MAD from the combination of the (shifted) samples. Finite sample corretion factors have been estimated from a simulation study and work well to produce nearly unbiased estimates for normally distributed samples.
The scaling factor does nothing.
Value
numeric value
Author(s)
Florian Klinglmueller
floatofmath/adaperm documentation built on May 16, 2019, 1:18 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Compute the median absolute deviation pooled over two samples
Usage
1 |
Arguments
x |
vector of observations |
y |
vector of observations |
factor |
Scaling factor (deprecated) |
Details
We subtract the median from each group and then compute the MAD from the combination of the (shifted) samples. Finite sample corretion factors have been estimated from a simulation study and work well to produce nearly unbiased estimates for normally distributed samples.
The scaling factor does nothing.
Value
numeric value
Author(s)
Florian Klinglmueller
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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