https://github.com/mightymetrika/npboottprm
Nonparametric Bootstrap Test with Pooled Resampling
Science Score: 13.0%
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Low similarity (11.7%) to scientific vocabulary
Keywords
datascience
nonparametric
r
statistics
Last synced: 6 months ago
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Repository
Nonparametric Bootstrap Test with Pooled Resampling
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 3
Topics
datascience
nonparametric
r
statistics
Created over 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# npboottprm
The goal of npboottprm is to provide a robust tool for conducting nonparametric bootstrap tests with pooled resampling. These tests are ideal for small sample sizes and include the independent t-test, paired t-test, and F-test. The package employs methods presented in Dwivedi, Mallawaarachchi, and Alvarado (2017).
## Installation
You can install the released version of npboottprm from [CRAN](https://CRAN.R-project.org):
```{r eval=FALSE}
install.packages("npboottprm")
```
To install the development version of npboottprm from GitHub, use the [devtools](https://devtools.r-lib.org/) package:
```{r, eval=FALSE}
# install.packages("devtools")
devtools::install_github("mightymetrika/npboottprm")
```
## Nonparametric bootstrap t-test
The following example demonstrates how to use the nonparboot() function to conduct an independent t-test.
```{r}
library(npboottprm)
# Use the simulated data included in the package
print(data_t)
# Run the test
res_t <- nonparboot(data = data_t,
x = "x",
grp = "grp",
nboot = 1000,
test = "t",
conf.level = 0.95,
seed = 183)
# Print the results, excluding the bootstrap distributions
print(res_t[!names(res_t) %in%
c("bootstrap.stat.dist", "bootstrap.effect.dist")])
```
## Nonparametric bootstrap paired t-test
The following example demonstrates how to use the nonparboot() function to conduct a paired t-test.
```{r}
# Use the simulated data included in the package
print(data_pt)
# Run the test
res_pt <- nonparboot(data = data_pt,
x = "x",
y = "y",
nboot = 1000,
test = "pt",
conf.level = 0.95,
seed = 166)
# Print the results, excluding the bootstrap distributions
print(res_pt[!names(res_pt) %in%
c("bootstrap.stat.dist", "bootstrap.effect.dist")])
```
## Nonparametric bootstrap F-test
The following example demonstrates how to use the nonparboot() function to conduct an F-test.
```{r}
# Use the simulated data included in the package
print(data_f)
# Run the test
res_f <- nonparboot(data = data_f,
x = "x",
grp = "grp",
nboot = 1000,
test = "F",
conf.level = 0.95,
seed = 397)
# Print the results, excluding the bootstrap distributions
print(res_f[!names(res_f) %in%
c("bootstrap.stat.dist", "bootstrap.effect.dist")])
```
Please note that the examples provided here use simulated data included in the package. When using this package with your own data, replace data_t, data_pt, and data_f with your own data frames, and adjust the x, y, and grp parameters as needed.
## References
Dwivedi AK, Mallawaarachchi I, Alvarado LA (2017). "Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method." Statistics in Medicine, 36 (14), 2187-2205.
Owner
- Login: mightymetrika
- Kind: user
- Website: mightymetrika.com
- Twitter: mightymetrika
- Repositories: 23
- Profile: https://github.com/mightymetrika
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mackson Ncube | m****e@g****m | 25 |
| mightymetrika | m****a@p****e | 11 |
Committer Domains (Top 20 + Academic)
proton.me: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 7
- Total pull requests: 25
- Average time to close issues: about 1 month
- Average time to close pull requests: 1 minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.14
- Average comments per pull request: 0.0
- Merged pull requests: 25
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 0
- Average time to close issues: 4 days
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mightymetrika (7)
Pull Request Authors
- mncube (23)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 225 last-month
- Total dependent packages: 2
- Total dependent repositories: 1
- Total versions: 6
- Total maintainers: 1
cran.r-project.org: npboottprm
Nonparametric Bootstrap Test with Pooled Resampling
- Homepage: https://github.com/mightymetrika/npboottprm
- Documentation: http://cran.r-project.org/web/packages/npboottprm/npboottprm.pdf
- License: MIT + file LICENSE
-
Latest release: 0.3.2
published over 1 year ago
Rankings
Downloads: 9.5%
Dependent packages count: 18.1%
Forks count: 21.0%
Average: 21.4%
Dependent repos count: 23.8%
Stargazers count: 34.5%
Maintainers (1)
Last synced:
7 months ago
Dependencies
DESCRIPTION
cran