ROIstat v2.33 Released

We are releasing a new update for ROIstat! There are some exciting improvements in this version.

Watch this video to see it in action!

You can download it here:

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(ROIstat Changelog)

  • Maintaining the app
    • RStudio has a new version and can be upgraded (ROIstat should work with either version)
    • Some packages need updating or to be added to ROIstat
      • lolcat has been updated so this needs to be updated for ROIstat
        • install.packages("remotes")
        • remotes::install_github("burrm/lolcat")
      • shinyWidgets has been updated so this needs to be updated for ROIstat
        • install.packages("shinyWidgets")
      • datamods has been updated so this needs to be updated for ROIstat
        • install.packages("datamods")
    • Due to new dependencies (?) you need to make sure svglite is installed if you are going to save svg graphics
      • install.packages("svglite")
    • Need to add the package agop for the A-D test for exponentiality
      • install.packages("agop")
    • Need to add the package ggh4x to get some convienence functions for ggplot
      • install.packages("ggh4x")
  • New Feature
    • Added distribution testing under Distributions. This allows you to test to see if your data follows a Poisson, Normal, or Exponential distribution along with a plot.
      • Poisson uses the Poisson Dispersion Test. You can plot the histogram with the theoretical distribution or the cumulative density function with the observed data and the theoretical distribution.
      • Normal can test with the Anderson-Darling, Shapiro-Wilk, Lin-Mudholkar, or Skewness and Kurtosis tests. You can plot the density of the data along with the theoretical normal distribution or a Q-Q plot.
      • Exponential can test with the Shapiro-Wilk test (only good for 3<=n<=100) the Anderson-Darling test (only good for when the origin parameter is 0), and the MVP test. The latter is a modification of the Shapiro-Wilk test that uses a Monte Carlo simulation to generate p-values. Accordingly, the MVP test has a button to start the simulation since it can take some time for larger sample sizes. You can plot the density of the data along with the theoretical exponential distribution or a Q-Q plot.
      • All plots can be downloaded in a variety of formats
      • You can get more information on each test by clicking a check box
  • Bug Fixes
    • Fixed bug in kappa 2x2 due to change in lolcat output
    • Fixed a bug in some correlation and association selections to more gracefully handle incorrect entry (like trying to enter 1.2 for r)
    • Fixed an error that would be generated with text data useful for discrete analysis if you enter MSA on continuous analysis
    • Fixed a limitation with DT::datatable so that the oneway posthoc will show all combos in the summary table
    • Also added a features with the posthoc table to use group names rather than just numbers
    • Fixed bug in EDA confidence intervals - this was caused from a change in lolcat
    • Fixed spelling error - kernel not kernal
    • Fixed a bug in attributes charts that was preventing them from drawing and downloading
    • Fixed a bug in Mean and Dispersion with data two-sample independent t-test
    • Fixed a bug in nonparametrics with data that prevented a UI element from being drawn
    • There were a number of console errors due to calculations being done before the UI had drawn an element that was needed for the calculations. Eventually the UI element was drawn and the results would appear, but it cluttered up the console. Fixed:
      • sample size calculations
      • correlation calculations
      • in nonparametrics calculations
      • in oneway ANOVA calculations
      • in control charts calculations
      • in one and two sample test calculations
      • scatter plot
  • Added pop-up descriptions for various tests
    • Nonparametric
    • Correlation
  • Known issues:
    • ggplot now deprecates aes_string. Eventually I'll change those over to plain aes.
    • Reported "object 'd' not found" in EDA when using factor with a lot of factors and data (can't replicate)
    • Reported boxplot for factors crashes sometimes (can't replicate)
    • Long pause once ROIstat loads, disabled blog links to help
    • Font Awesome errors at startup is due to shinywidgets
    • Lin-Mudholkar test fails due to breaking the function when the correlation is 1 (lolcat issue)
    • Reported problem with use data one and two sample tests, object x2 not found (can't replicate)
    • No button on MVP(E) test to stop early - may be added in the future
    • Need ability to set bins on EDA histograms - will be added in the future
    • The density plot for the exponential will start at zero even if the minimum is above that
    • A-D exponential test will fail if xmin>>0, subtracting xmin does not work, added warning
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