ROIstat v2.35 Released!

We are releasing another new update for ROIstat! This adds the ability to save the theoretical distribution graphics, scale the exploratory data analysis historgrams (and save them that way), and an option to add a rug plot to kernal denstity plots, as well as some bug fixes.

You can download it here:

Download ROIstat!

(ROIstat Changelog)

  • New Features
    • Added the option for adding a rug plot to kernel density plot in histograms. This adds tick marks for where the actual data points are. This helps with smaller data sets to see what the kernel density is using, and with larget data sets to see how the data are concentrated. The ticks have transparency to make it easier to see when there are a lot of points in the same area as they overlap and darken the rug fringes.
    • Added an option for kernel density plots to extend the density plot until it meets the x-axis. This can take some time on larger data sets
    • Angled x-labels on histograms to reduce overlap
    • Added the ability to scale histogram plots and save them as seen on the screen
    • Revamped the normal distribution using ggplot. You can now download that graph
    • Revamped the F distribution using ggplot. You can now download that graph
    • Revamped the critical values graphs using ggplot. You can now download that graph
    • You can now download the binomial graph
    • You can now download the Poisson graph
    • Added run charts using either mean and median to the SPC section
  • Buf fixes
    • Made the density plots explicitly using the bandwidth type "SJ"
    • Fixed a bug that caused the one-sample z test with data to calculate the wrong standard deviation for the default
  • Known issues:
    • 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
    • The density plot x-axis for the exponential will start at zero even if the minimum is above that


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