We are releasing an update for stats4ROI! This release adds crosstabs and fixes.
Big news: if you were holding off installing because of dealing with R and RStudio, wait no more! There are two different versions that are simple to use. Check out the download page to learn more!
You can download it here:
(You can read the complete stats4ROI Changelog here)
- New packages needed
- To support corsstabs, there are a two new packages that will be part of statss4ROI's requirements.
install.packages("htmlwidgets")install.packages("rhandsontable")
- A number of packages have had an update, so you should go ahead and update all of them. You can do this in RStudio by clicking Tools | Check for Package Updates and update whatever needs updating. If you use RGui, you can click on Packages | Update packages... to do the same thing.
- To support corsstabs, there are a two new packages that will be part of statss4ROI's requirements.
- Added Features
- Added some formatting to make MSA continous detailed diagnostics and discrete output easier to read
- Made some changes necessary to run the app as a standalone app.
- Removed the option for opening data from the R environment. The R environment should be empty.
- Added the ability to get an estimate of the true value when assessing bias, including confidence intervals.
- Added a new feature: crosstabulations. This can be useful in many types of categorical analyses including discrete gauge analysis.
- Manual crosstabs allow you to enter a crosstab table. You can define the number of rows and columns and type the data into a crosstab table. You can change the names of the rows or columns.
- Crosstabs from file data - you can load a file then select which column is to be rows and which for columns. The data format requires that the columns are levels of one categorical variable and each row are the corrosponding values of another categorical variable. For example, if we have two assessors that we want to test categorical agreement for, we could have two columns, one foe each assessor, and each row could be the two assessors' rating for the same item.
- Features
- Once the crosstab is created, the table is output along with totals for rows and columns.
- The joint counts can be displayed as counts, proportions, or percents.
- Expected values for each cell can also be displayed.
- The following statistics and their outputs can be displayed:
- Chi-squared
- Phi or Cramer's V
- Fisher's Exact test for 2x2 crosstabs
- McNemar's or Bowker's symmetry test
- Kappa
- Selected rows and columns can be merged (added together) or deleted. The table can be reset.
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Bug Fixes
- Did some work to make the "Perform Analysis" button work better on the continuous MSA tab. Hopefully now it stops execution every time.
- Fixed a bug in oneway ANOVA when selecting Tukey it would give an "Error in list"
- Fixed a bug that didn't show the Creative Commons license type
- Fixed a bug that would give an error in Natural Tolerance if there was missing data in other columns
- Fixed a bug that led to an R error before starting the continuous MSA
- Known issues:
- datamods no longer will load .dat files with only one column - this is a limitation in the packages it uses. A fix is in the works. A workaround is to save that as a .txt file or just cut and paste the data.
- If you run the app from RStudio and you have clicked on a line number to add a breakpoint, it will take a long time to load the app - this is due to RStudio functions that take 10+ seconds to load. Once they are loaded, it does not affect the app. Consider loading via RGui if this is an annoyance since it loads immediately there. This does not happen if you avoid adding a breakpoint that way.
- Lin-Mudholkar test fails due to breaking the function when the correlation is 1 (lolcat issue)
- No button on MVP(E) or Mann-Whitney-U 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. This seems to be built into ggh4x