bootstrapNormalPeakCI: Bootstrap the 95% confidence interval of a normal function.
In thartbm/SMCL: Utilities for common tasks in the SensoriMotor Control Lab.
bootstrapNormalPeakCI R Documentation
Bootstrap the 95% confidence interval of a normal function.
Description
?
Usage
bootstrapNormalPeakCI(pos, values, bootstraps = 1000)
Arguments
pos
A numeric vector with N data positions.
values
A numeric matrix with N rows and M cols giving values
(densities) from M observations at N positions.
bootstraps
The number of bootstrapped samples (M columns) to fit
a normal function to.
Details
?
Value
Named numeric vector, with the 2.5^nd, 50^th and 97.5^th percentile
of the locations of peaks of a normal function fitted to samples of the
data. These are the upper and lower bound of the 95
well as the median.
Examples
?
thartbm/SMCL documentation built on Oct. 23, 2022, 5:17 a.m.
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| bootstrapNormalPeakCI | R Documentation |
Bootstrap the 95% confidence interval of a normal function.
Description
?
Usage
bootstrapNormalPeakCI(pos, values, bootstraps = 1000)
Arguments
pos |
A numeric vector with N data positions. |
values |
A numeric matrix with N rows and M cols giving values (densities) from M observations at N positions. |
bootstraps |
The number of bootstrapped samples (M columns) to fit a normal function to. |
Details
?
Value
Named numeric vector, with the 2.5^nd, 50^th and 97.5^th percentile of the locations of peaks of a normal function fitted to samples of the data. These are the upper and lower bound of the 95 well as the median.
Examples
?
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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