Skip to content

Latest commit

 

History

History
114 lines (89 loc) · 4.35 KB

NEWS.md

File metadata and controls

114 lines (89 loc) · 4.35 KB
Raw

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 + 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.