identifyMinima: identifies minima in a given set of values
In mknoll/imageanalysisBrain: Analysis of Brain Imaging Data
Description
Usage
Arguments
Value
Examples
View source: R/identifyMinima.R
Description
Identifies minima by repeatedly drawing
small numbers of values from a larger set.
Usage
1
identifyMinima(data, proportion = 0.001, iterat = 5e+05, delta = 1)
Arguments
data
vector of values to analyze
proportion
proportion of values to analyze
(proportions*length(data)), if below 10, then the value
is mutiplied by 10 in each iteration
iterat
number of sample drawings
delta
width between two points to differentiate
Value
data.frame containing all identified minima
Examples
1
identifyMinima(1:1000, 1, 10)
mknoll/imageanalysisBrain documentation built on May 23, 2019, 2:01 a.m.
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Description Usage Arguments Value Examples
View source: R/identifyMinima.R
Description
Identifies minima by repeatedly drawing small numbers of values from a larger set.
Usage
1 | identifyMinima(data, proportion = 0.001, iterat = 5e+05, delta = 1)
|
Arguments
data |
vector of values to analyze |
proportion |
proportion of values to analyze (proportions*length(data)), if below 10, then the value is mutiplied by 10 in each iteration |
iterat |
number of sample drawings |
delta |
width between two points to differentiate |
Value
data.frame containing all identified minima
Examples
1 | identifyMinima(1:1000, 1, 10)
|
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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