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NEWS.Rmd
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---
title: "NEWS"
output: github_document
---
Updated `r format(Sys.time(), "%a %b %d %Y")`
# Superpower 0.2.2 -- "Jubilee"
- Updates to the package documentation
# Superpower 0.2.1 -- "Jade"
- Minor fix to the plot_power function
- Major updates to the Shiny apps
- Changes design input to a more friendly UI
# Superpower 0.2.0 -- "Green Lantern"
- Added power_oneway_ancova & power_con_ancova to allow for a basic power analysis of an analysis of covariance (ANCOVA) for one-way, between group designs.
- Added ANCOVA_analytic and ANCOVA_contrast which allow for power analyses for factorial designs and user specified contrasts.
- Added the label_list argument to ANOVA_design and ANCOVA_analytic functions. Now labels can be assigned to factors and levels in a more sane fashion using named lists.
# Superpower 0.1.2 -- "Rex Splode"
- Minor fixes to power_standardized_alpha to keep Superpower on CRAN
# Superpower 0.1.1 -- "Black Canary"
- Added morey_plot functions.
- Plot the effect size (x-axis) at different sample sizes (facets) and at different alpha levels (color).
- These plots are helpful in determining the sensitivity of statistical tests (t-test and F-test) across a range of effect sizes.
- Added confint method for ANOVA_power produced objects
- Calculates confidence level for binomial proportion (# of results that are below alpha level) confidence intervals (Wilson, 1927).
- Minor changes to Shiny apps to fix glitches.
# Superpower 0.1.0
- Added ANOVA_exact2 function as an extension of ANOVA_exact
- Now functional across all sample sizes but does not return a dataframe of afex aov object
- liberal_lambda argument added: allows users to specify the type of lambda calculations
- When liberal_lambda = TRUE; lambda = cohen_f^2 * (num_df + den_df + 1)
- When liberal_lambda = FALSE; lambda = cohen_f^2 * den_df
- Optimal alpha functions from JustifieR package added
- ANOVA_compromise function added which allows a compromise power analysis to be performed for all comparisons in a design
- ANOVA_design now returns as a class "design_aov" with specific print and plot methods see ?`design_aov-methods`
- generate_cor_matrix function is now a non-exported function within the package (no longer contained within ANOVA_design)
- All simulation functions ANOVA_power, ANOVA_exact, and ANOVA_exact2 now returns as a class "sim_result" with specific print and plot methods see ?`sim_result-methods`
- plot_power now has reduced sample size limitations
-Option to use ANOVA_exact2 (exact2 argument) improves functionality (not limited to product of factors)
- Updated vignettes to include updated information on functions
- New vignette "Introduction to Justifying Alpha Levels"
- New Shiny App: justify
- Creates a UI for utilizing the ANOVA_compromise function via Shiny
# Superpower 0.0.5
- Superpower_options("plot") is now set to TRUE. Plots will, by default, be printed
-Easily reset with Superpower_options(plot = FALSE)
- plot_power has new features
-Plots now show desired power
-min_n is now limited; smallest min_n allowed is equal to the product of the design (e.g., '2b*2b' has a smallest min_n of 4)
- Small update to plot_power to fix minor error in original code
-Error resulted in power estimates being ~0.1-0.5% off actual power estimate
# Superpower 0.0.4
- Added emmeans_power function
- Documentation added to the vignette
- Small updates to the Shiny apps to fix typos
# Superpower 0.0.3
- Unequal sample size in the design is now permitted
-Limited to the ANOVA_design and ANOVA_power functions
- Added estimated marginal means comparisons using `emmeans` R package.
- `emm = TRUE` in the ANOVA_power, ANOVA_exact, and plot_power will result in emmeans being calculated
- Default is all pairwise comparisons but this can be modified with `contrast_type` and `emm_comp` options
- Added global options
- Options that have crossover between functions can now be set globally for the package
- Includes: verbose, emm, emm_model, contrast_type, alpha_level, and plot
- These global options can be seen with Superpower_options()
- Updated Shiny Apps
- Unequal n allowed for ANOVA_power
- Added numeric input for alpha level (no longer slider)
- Now includes emmeans options
- kableExtra, emmeans, magrittr, and dplyr packages now needed to knit markdown file in app.