bootstrap_error: Bootstrap the standard deviation of the mean
In rscherrer/bop:
Description
Usage
Arguments
Value
Author(s)
View source: R/bootstrap_error.R
Description
This function performs a bootstrap on a vector of deviations from means along a given variable to measure the error of the mean
Usage
1
bootstrap_error(x, N = 999, printit = F)
Arguments
x
A vector of deviations from the mean (or any numbers).
N
An integer. The number of samplings to perform.
printit
Logical. Whether to print the iteration to the prompt.
Value
The standard deviation of the re-calculated means of all bootstrapped samples.
Author(s)
Raphael Scherrer
rscherrer/bop documentation built on May 22, 2019, 3:54 p.m.
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Description Usage Arguments Value Author(s)
View source: R/bootstrap_error.R
Description
This function performs a bootstrap on a vector of deviations from means along a given variable to measure the error of the mean
Usage
1 | bootstrap_error(x, N = 999, printit = F)
|
Arguments
x |
A vector of deviations from the mean (or any numbers). |
N |
An integer. The number of samplings to perform. |
printit |
Logical. Whether to print the iteration to the prompt. |
Value
The standard deviation of the re-calculated means of all bootstrapped samples.
Author(s)
Raphael Scherrer
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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