A Shiny App for Sample Size Estimation in Metabolomic Experiments

Provides a Shiny application to estimate the sample size required for a metabolomic experiment to achieve a desired statistical power. Estimation is possible with or without available data from a pilot study.


MetSizeR

MetSizeR is a Shiny application developed for metabolomic scientists to estimate the optimal sample size required for a study to achieve a desired statistical power for their study, even in cases where pilot data are not available. The MetSizeR application is developed based on the methodology by Nyamundanda et al. (2013).

Installation

MetSizeR can be installed from CRAN with:

install.packages("MetSizeR")

Accessing MetSizeR application

All MetSizeR functionality is accessed through a Shiny application, which can be accessed by running the following command:

# load MetSizeR package
library(MetSizeR)

# launch MetSizeR Shiny application
MetSizeR()

References

Nyamundanda, G., Gormley, I. C., Fan, Y., Gallagher, W. M., & Brennan, L. (2013). MetSizeR: Selecting the optimal sample size for metabolomic studies using an analysis based approach. BMC Bioinformatics, 14(1), 338. https://doi.org/10.1186/1471-2105-14-338

Reference manual

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install.packages("MetSizeR")

2.0.0 by Kate Finucane, 5 years ago


Browse source code at https://github.com/cran/MetSizeR


Authors: Kate Finucane [aut, cre] , Gift Nyamundanda [aut] , Isobel Claire Gormley [aut] , Yue Fan [aut] , William M Gallagher [aut] , Lorraine Brennan [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, ggplot2, MetabolAnalyze, Rfast, shiny, shinythemes, stats, tools, utils, vroom

Suggests rmarkdown, knitr


See at CRAN