Differences

This shows you the differences between two versions of the page.

--- welcome_installer_5 [2019/12/13 19:47]
admin [What is New]
+++ welcome_installer_5 [2020/12/04 00:15]
admin [Welcome to Dinamica EGO 5]
@@ Line 3: / Line 3: @@
 Congratulations! You have successfully installed [[what_is_new_5|Dinamica EGO 5]]!
+(See the changelog specific for [[what_is_new_5_2_0|version 5.2.0]] and [[what_is_new_5_2_1|version 5.2.1]])
+<note important>Model execution might fail, if you are upgrading from a previous version of Dinamica EGO with the //Enhancement Plugin// [allowing the use of R as part of a Dinamica EGO model] installed and there are R packages that were downloaded by Dinamica itself.
+If that happens, open the **Options** dialog (**Tools** -> **Options**), then choose **Integration** | **R**, and click on "**Purge User Installed Packages...**" to remove all installed packages. The removed packages will be reinstalled again next time the model is executed.
+</note>
 ===== What is New =====
@@ Line 33: / Line 39: @@
 **Integration**
-   * Improved integration with R: It is now possible to install packages even if R is being provided by the Enhancement Plugin. Just replace the typical import statement 'library (NAME)' with 'dinamicaPackage("NAME")' when importing packages from your scripts. By doing so, packages will be automatically downloaded and installed, if necessary. An option in the Tools->Options dialog controls the mirror repository from where R packages will be downloaded by Dinamica EGO.
+   * Improved integration with R: It is now possible to install packages even if R is being provided by the Enhancement Plugin. Just replace the typical import statement 'library (NAME)' with 'dinamicaPackage("NAME")' when importing packages from your scripts. By doing so, packages will be automatically downloaded and installed, if necessary. An option in the Tools->Options dialog defines the mirror repository from where R packages are downloaded by Dinamica EGO.
-   * Integration with Python: Python can now be used to create functors, via [[Calculate Python Expression]] as part of the models. It is now possible to install packages by using 'dinamica.package("NAME")' when importing packages. Similarly how it works for R, Python packages will be automatically downloaded and installed from the PIP repository, if necessary. Packages can also be installed from custom locations. And unlike R, the Python interpreter is deployed with Dinamica EGO, so it is possible to use Python to create functors out of the box.
+   * Integration with Python: Python can now be used to create functors, via [[calculate_python_expression_pt]] as part of the models. It is now possible to install packages by using 'dinamica.package("NAME")' when importing packages. Similarly how it works for R, Python packages will be automatically downloaded and installed from the PIP repository, if necessary. Packages can also be installed from custom locations. And unlike R, the Python interpreter is deployed with Dinamica EGO, so it is possible to use Python to create functors out of the box.
 {{:screens:python1.png?link&400|}}
@@ Line 47: / Line 53: @@
    * Submodels and functors can now be nested with multiple levels in the Functor Library tree.
-   * Submodels can place inputs in custom tabs (other than the default or advanced tabs) in the Functor Editor dialog.
+   * Submodels can show their inputs in custom tabs (other than the default or advanced tabs) in the Functor Editor dialog.
    * Submodels are loaded "lazily" when the application starts. As the result, Dinamica tends to initialize very quickly, even when dozen of submodels are installed.