compute_bootstrap: Compute boostrap confidence interval
In maciejkasinski/quantatools: Analysis of quantum in archaeological data with cosine quantogram and related statistical methods
Description
Compute boostrap confidence interval
Usage
1
2
3
compute_bootstrap(set, label, conf = 0.05, n_bootstrap_samples = 500,
Q_MIN = Q_MIN, RNG_START = RNG_START, RNG_END = RNG_END,
STEP = STEP)
Arguments
set
measurements vector
label
(optional) label of dataset
conf
confidence level, 0.05 by default
n_bootstrap_samples
number of bootstrap samples
maciejkasinski/quantatools documentation built on May 17, 2019, 1:58 p.m.
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.
Description
Compute boostrap confidence interval
Usage
1 2 3 | compute_bootstrap(set, label, conf = 0.05, n_bootstrap_samples = 500,
Q_MIN = Q_MIN, RNG_START = RNG_START, RNG_END = RNG_END,
STEP = STEP)
|
Arguments
set |
measurements vector |
label |
(optional) label of dataset |
conf |
confidence level, 0.05 by default |
n_bootstrap_samples |
number of bootstrap samples |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.