New Features ============ 1) We have added support for Linear Mixed Models. See Model Fitting-> Mixed Models, basic. We have also created a document that explains our approach, this can be found in the \BlueSky Statistics\Docs folder. Sample datasets are available in the BlueSky Statistics\Sample Datasets and Demos folder. A polynomial control is also available with Linear Mixed models 2) Support for scoring Linear Mixed Models has been added. Select the model created on the top right hand of the screen, and click the score button. 3) Several users have requested the ability to change the order of factor levels (some of these requests originated as there was a need to control the order in which levels were displayed in charts like plot of means, for example the plot of means chart displayed means for December, November and October (incorrect order) instead of October, November , December (correct order)) Data->Factor Levels->Add New Levels (Adds new levels to a factor) Data->Factor Levels->Display Levels (Displays levels of a factor) Data->Factor Levels->Drop Unused Levels (Drops unused levels of a factor) Data->Factor Levels->Label NA as Missing (Labels missing values to any caption you specify) Data->Factor Levels->Lumping into 'Other' (Provides options for lumping factor levels to the "other" level i.e. lump the least frequent or keep the most common or least common levels or keep the levels that constitute at least a certain proportion or at most a specified proportion, the rest will be lumped into "other".) Data->Factor Levels->Reorder by Count (Reorder factor levels by descending/ascending order of the counts at each level) Data->Factor Levels->Reorder by Occurence in Dataset Data->Factor Levels->Reorder by One Other Variable (Levels in one factor variable are reordered based on the results of an arithmetic function applied to another variable) Data->Factor Levels->Reorder levels Manually (The user specifies the order of the levels) Data->Factor Levels->Specify levels to keep or replace by 'Other' 4) New dialogs for additional statistical, data manipulation and analytical capabilities Analysis > Agreement Analysis > Bland-Altman Plot Analysis > Agreement Analysis > Cohen's Kappa Analysis > Agreement Analysis > Diagnostic Testing Analysis > Agreement Analysis > Fleiss' Kappa Analysis > Agreement Analysis > Intraclass Correlation Coefficients Analysis > Contingency Tables > Odds Ratios, M by 2 table Analysis > Contingency Tables > Relative Risks, M by 2 table Analysis > Summary Analysis > Dataset Comparison Analysis > Summary Analysis > Dataset Description Analysis > Summary Analysis > Multi-Way Frequency List Analysis > Summary Analysis > Variable Summaries Table > Optional Tests, advanced Analysis > Summary Analysis > Variable Summaries Table > Optional Tests Analysis > Survival Analysis > Kaplan-Meier Estimation, compare groups Analysis > Survival Analysis > Kaplan-Meier Estimation, one group Data > Compute New Variable(s) > Conditional Compute, if-then-else Data > Compute New Variable(s) > Conditional Compute, if-then Data > Factor Levels > Reorder Levels Manually Data > Stack Datasets Data > Merge Datasets (Tidy) Model Fitting > Cox Proportional Hazaards Model > Cox Single Model Model Fitting > Cox Proportional Hazaards Model > Cox With Formula 5) The following new dialogs for additional statistical, data manipulation and analytical capabilities and pre-installed in the commercial edition. Upto 5 of these dialogs can be installed in the open source edition. Analysis > Agreement Analysis > Concordance Correlation Coefficient, multiple raters Analysis > Agreement Analysis > Concordance Correlation Coefficient Analysis > Regression > Quantile Regression Model Fitting > Cox Proportional Hazaards Model > Cox Multiple Models Model Fitting > Linear Regression > Linear Regression, multiple models Model Fitting > Logistic Regression > Logistic Regression, conditional Model Fitting > Logistic Regression > Logistic Regression, multiple models 6) The titles of the tabs and text has been modified in Tools->Configuration settings dialog to make them more meaningful. 7) A new configuration setting option has been introduced under the 'Advanced' tab of the dialog displayed when clicking on the Tools->Configuration settings. This allows the user to control the conversion of character/string variables to factor for a new dataset.This option can be turned on or off. 8) A field has been added to the Tools->Configuration settings under 'Path Settings' called 'User R library path'. Additional R packages that users manually install will get installed in the path specified in the 'User R lib' no matter if installed from CRAN or from a ZIP file on disk. 9) A new dialog has been added for computing dummy variables. This can be found under Data-> Compute New Variables -> Compute Dummy Variables. You can specify what level to treat as a reference and whether dummy variables should be created for reference values. This was done on request for users using the Model Tuning dialogs where several of the algorithms required Factor Levels to be dummy coded. 10) We have removed the grey border when generating APA style tables. 11) Subsequent clicks to the 'Export to Word' option associated with tables in the output window, now appends to the same Word document that was launched the first time this button was clicked. Performance has been significantly improved. 12) An icon is displayed in the columns in the datagrid to show the type of variable i.e. factor, ordered factor, string, numeric, date or logical. Bug Fixes ========= 1) Fixed crash that would occur when you Merged datasets. This happened when you moved a dataset to a target variable list and the source variable list was empty and then moved that dataset back to the source variable list 2) Fixed an issue with plot of means where the X axis labels were not getting displayed correctly for factor variables 3) When you have a variable in a dataframe with all NAs, this is displayed as a 'logical' class/type in R. When such a dataset was loaded in the grid the 'logical' column was showing 'True' instead of NAs. This issue has been fixed. Now a logical column will all NAs will show NA in the datagrid. 4) When a user is editing a value in a factor column/variable in the datagrid and enters value that does not match to a valid level then we show a message to let the user know that there is no valid level for the factor that matches the entered level. 5) Fixes to dialog editor crashes 6) Dialog Designer: drag and drop variables of all types (factor, ordered, logical...) work correctly in the preview mode 7) Templated dialogs (e.g. Crosstab, Multi Way) were not working when executed on datasets that had a split set. See Data->Split dataset->For Group By Analysis->Split to split a dataset. 8) "Data -> Reload Dataest from File" was not working on the datasets that had an underscore in the file name. This has been fixed. 9) "Tools -> Package -> R Package Details" was not working if an empty dataset was loaded in the grid, but it worked if a non-empty dataset was active in the datagrid.