NEWS

Updated Fri Feb 10 2023

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 +
  • 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.