npboottprm0.3.2 package

Nonparametric Bootstrap Test with Pooled Resampling

appendInputParams

Append Input Parameters to Data Frame

bootstrap_f_sample

Internal Bootstrap Sampling Function for F-tests

bootstrap_pt_sample

Internal Bootstrap Sampling Function for Paired T-tests

bootstrap_t_sample

Internal Bootstrap Sampling Function for T-tests

getCellBlocks

Generate a List of Available Cell Blocks

getUIParams

Generate UI Elements for Selected Cell Block

nonparboot_app

Shiny App for Nonparametric Bootstrap Tests with Pooled Resampling

nonparboot

Nonparametric Bootstrap Test with Pooled Resampling for Small Sample S...

remove_na

Remove NA values from vectors

replext_pgsql

Replext Simulation Shiny App with Database Integration

replext_t2_c1.1

Replicate and Extend Simulation Results from Table 2 Cell 1.1

replext_t2_c1.2

Replicate and Extend Simulation Results from Table 2 Cell 1.2

replext_t2_c2.1

Replicate and Extend Simulation Results from Table 2 Cell 2.1

replext_t2_c2.2

Replicate and Extend Simulation Results from Table 2 Cell 2.2

replext_t2_c3.1

Replicate and Extend Simulation Results from Table 2 Cell 3.1

replext_t2_c3.2

Replicate and Extend Simulation Results from Table 2 Cell 3.2

replext_t2_c4.1

Replicate and Extend Simulation Results from Table 2 Cell 4.1

replext_t2_c4.2

Replicate and Extend Simulation Results from Table 2 Cell 4.2

replext_t3_c1.1

Replicate and Extend Simulation Results for Statistical Power from Tab...

replext_t3_c1.2

Replicate and Extend Statistical Power Analysis from Table 3 Cell 1.2

replext_t3_c2.1

Replicate and Extend Statistical Power Analysis from Table 3 Cell 2.1

replext_t3_c2.2

Replicate and Extend Statistical Power Analysis from Table 3 Cell 2.2

replext_t3_c3.1

Replicate and Extend Statistical Power Analysis from Table 3 Cell 3.1

replext_t3_c3.2

Replicate and Extend Statistical Power Analysis from Table 3 Cell 3.2

replext_t3_c4.1

Replicate and Extend Statistical Power Analysis from Table 3 Cell 4.1

replext_t3_c4.2

Replicate and Extend Statistical Power Analysis from Table 3 Cell 4.2

replext_t3_c5.1

Replicate and Extend Statistical Power Analysis from Table 3 Cell 5.1

replext_t3_c5.2

Replicate and Extend Statistical Power Analysis from Table 3 Cell 5.2

replext_t4_c1.1

Replicate and Extend Simulation Results from Table 4 Cell 1.1

replext_t4_c2.1

Replicate and Extend Simulation Results from Table 4 Cell 2.1

replext_t4_c3.1

Replicate and Extend Simulation Results from Table 4 Cell 3.1

replext_t4_c4.1

Replicate and Extend Simulation Results from Table 4 Cell 4.1

replext_t4_c5.1

Replicate and Extend Simulation Results from Table 4 Cell 5.1

replext_t4_c6.1

Replicate and Extend Simulation Results from Table 4 Cell 6.1

replext_t4_c7.1

Replicate and Extend Simulation Results from Table 4 Cell 7.1

replext_t5_c1.1

Replicate and Extend Simulation Results for Paired Distributions

replext_t5_c1.2

Replicate and Extend Simulation Results for Paired Distributions with ...

replext_t5_c1.3

Replicate and Extend Simulation Results for Paired Distributions with ...

replext_t5_c2.1

Replicate and Extend Simulation Results for Paired Distributions with ...

replext_t5_c2.2

Replicate and Extend Simulation Results for Paired Distributions with ...

replext_t5_c2.3

Replicate and Extend Simulation Results for Paired Distributions with ...

replext_t6_c1.1

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_t6_c1.2

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_t6_c1.3

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_t6_c2.1

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_t6_c2.2

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_t6_c2.3

Replicate and Extend Statistical Power Simulation Results for Paired D...

replext_ts1_c1.1

Replicate and Extend Simulation Results from Table S1 Cell 1.1

replext_ts1_c2.1

Replicate and Extend Simulation Results from Table S1 Cell 2.1

replext_ts1_c3.1

Replicate and Extend Simulation Results from Table S1 Cell 3.1

replext_ts2_c1.1

Replicate and Extend Type I Error Rates for ANOVA in a Three-Sample Se...

replext_ts2_c1.2

Replicate and Extend Type I Error Rates for ANOVA in a Different Setti...

replext_ts2_c2.1

Replicate and Extend Type I Error Rates for ANOVA with Skewness

replext_ts2_c2.2

Replicate and Extend Type I Error Rates for ANOVA with Skewness and Va...

replext_ts2_c3.1

Replicate and Extend Type I Error Rates for ANOVA with Diverse Skewnes...

replext_ts2_c3.2

Replicate and Extend Type I Error Rates for ANOVA with Varied Skewness...

replext_ts2_c4.1

Replicate and Extend Type I Error Rates for ANOVA with Skewness in Spe...

replext_ts2_c4.2

Replicate and Extend Type I Error Rates for ANOVA with Specific Sample...

replext_ts3_c1.1

Replicate and Extend Statistical Power Analysis for ANOVA in a Three-S...

replext_ts3_c1.2

Replicate and Extend Statistical Power Analysis for ANOVA

replext_ts3_c2.1

Replicate and Extend Statistical Power Analysis for ANOVA with Skewnes...

replext_ts3_c2.2

Replicate and Extend Statistical Power Analysis for ANOVA with Skewnes...

replext_ts3_c3.1

Replicate and Extend Statistical Power Analysis for ANOVA with Diverse...

replext_ts3_c3.2

Replicate and Extend Statistical Power Analysis for ANOVA with Varied ...

replext_ts3_c4.1

Replicate and Extend Statistical Power Analysis for ANOVA with Skewnes...

replext_ts3_c4.2

Replicate and Extend Statistical Power Analysis for ANOVA with Specifi...

replext

Replext Simulation Shiny App

runSimulation

Execute Simulation Based on User Inputs

text_to_char_vector

Convert Comma-Separated String to Character Vector

Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. Further, 'npboottprm' incorporates an interactive 'shiny' web application, nonparboot_app(), offering intuitive, user-friendly data exploration.

  • Maintainer: Mackson Ncube
  • License: MIT + file LICENSE
  • Last published: 2024-09-13