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What's new v4.0.2
Analysis - Chart visualization:
chart legends now display more consistently, and options that do not apply to MCA and PCA dispersion charts are hidden for a clearer setup experience.
Data - Cleanup and quality: a new action lets users hide empty columns, and the data quality report summary has been corrected with more accurate localized labels.
Stability - Statistical processing: handling for date columns and variables with multiple classes has been strengthened, and progress is now shown while preparing R libraries so long operations are easier to follow.
chart legends now display more consistently, and options that do not apply to MCA and PCA dispersion charts are hidden for a clearer setup experience.
Data - Cleanup and quality: a new action lets users hide empty columns, and the data quality report summary has been corrected with more accurate localized labels.
Stability - Statistical processing: handling for date columns and variables with multiple classes has been strengthened, and progress is now shown while preparing R libraries so long operations are easier to follow.
Recent versions
v4.0.1
March 13, 2026
What's new
Data — Smarter split column defaults: Split Columns now suggests the most likely delimiter automatically, reducing manual setup.
Data — Datetime values imported as dates: When importing datetime values, Navure now preserves the date and discards the time component, ensuring consistent date formatting.
Data — Smarter date format detection: When converting categorical variables to dates, Navure now suggests the most likely date format automatically.
Data — Categorize now supports date variables: The Categorize transformation now accepts date variables as input.
Data — Midpoint-based category labels: Categorize now offers class midpoints as an additional option for labeling categories. For numeric and date variables, the resulting categories preserve the original variable format.
Univariate Statistics — Frequency now supports date variables: The Frequency procedure now allows frequency tables to be generated directly from date variables.
Univariate Statistics — Fixed one-sample interval output issue: Fixed a bug that prevented output generation in one-sample interval procedures.
Graphics — Reorganized legend position menu: The legend position menu was reorganized into a clearer nested structure with simplified option labels.
Graphics — More consistent legend positioning: Legend positioning now behaves more predictably, maintaining direction and layout when moved across chart regions.
Graphics — Legend marker size synchronized with font size: Legend marker sizes now scale automatically with legend font size.
Graphics — Improved X-axis label spacing: Charts now keep the final X-axis label readable by reserving space dynamically when needed.
Graphics — Persistent chart panel splitter position: The chart panel splitter position is now preserved, keeping the layout consistent.
Graphics — Chart layout propagation across tabs: Chart panel width can now be applied to all charts or only to charts before or after the current tab.
Graphics — Chart font size propagation: Font size settings for titles, axis titles, labels, and annotations can now be applied across charts.
Graphics — More consistent style propagation across charts: Chart formatting can now be copied and applied across compatible charts more reliably.
Graphics — Refined Procrustes visualization: Procrustes plots now display points, labels, and opacity with improved clarity.
UX — Expanded undo/redo support: Undo and redo behavior was expanded and refined across chart editing actions.
UX — Improved chart export and menu actions: Chart export and related menu actions were reorganized for easier access.
Data — Datetime values imported as dates: When importing datetime values, Navure now preserves the date and discards the time component, ensuring consistent date formatting.
Data — Smarter date format detection: When converting categorical variables to dates, Navure now suggests the most likely date format automatically.
Data — Categorize now supports date variables: The Categorize transformation now accepts date variables as input.
Data — Midpoint-based category labels: Categorize now offers class midpoints as an additional option for labeling categories. For numeric and date variables, the resulting categories preserve the original variable format.
Univariate Statistics — Frequency now supports date variables: The Frequency procedure now allows frequency tables to be generated directly from date variables.
Univariate Statistics — Fixed one-sample interval output issue: Fixed a bug that prevented output generation in one-sample interval procedures.
Graphics — Reorganized legend position menu: The legend position menu was reorganized into a clearer nested structure with simplified option labels.
Graphics — More consistent legend positioning: Legend positioning now behaves more predictably, maintaining direction and layout when moved across chart regions.
Graphics — Legend marker size synchronized with font size: Legend marker sizes now scale automatically with legend font size.
Graphics — Improved X-axis label spacing: Charts now keep the final X-axis label readable by reserving space dynamically when needed.
Graphics — Persistent chart panel splitter position: The chart panel splitter position is now preserved, keeping the layout consistent.
Graphics — Chart layout propagation across tabs: Chart panel width can now be applied to all charts or only to charts before or after the current tab.
Graphics — Chart font size propagation: Font size settings for titles, axis titles, labels, and annotations can now be applied across charts.
Graphics — More consistent style propagation across charts: Chart formatting can now be copied and applied across compatible charts more reliably.
Graphics — Refined Procrustes visualization: Procrustes plots now display points, labels, and opacity with improved clarity.
UX — Expanded undo/redo support: Undo and redo behavior was expanded and refined across chart editing actions.
UX — Improved chart export and menu actions: Chart export and related menu actions were reorganized for easier access.
v4.0.0
February 22, 2026
What's new
Charts - Chart Undo/Redo System: Undo/redo support for chart operations.
Charts – Cancellation: All charts display a cancellation dialogue.
Charts - ProfileChart: New DotChart-style including errors and customizable connecting lines.
Charts - QBarChart & QDotChart: New quantitative chart types featuring improved automatic bar width calculation to handle gaps in qualitative X-axis scales, preventing bars from becoming excessively narrow, along with support for connecting lines.
Charts - BarChart: Connecting lines between bars in single-series charts with customizable line options.
Charts - Smooth Curves: R² annotation toggle per series with dynamic positioning.
Charts - Categorical Charts: Added @x ordering pattern detection for Violin, BoxChart, Bar, Dot, and Area charts to improve categorical axis ordering using custom sort values.
Charts - Contour Plots: Improved formula editor with intelligent paste support that automatically normalizes expressions copied from analysis outputs into valid x–y contour plot formulas, enhanced range validation based on formula domain (e.g., log(x) now enforces x > 0), and value-based color gradients (low–mid–high) with support for predefined or custom scales and persistent user-defined color preferences.
Charts - Opacity Controls: Extended opacity controls to histogram charts, violin density contours, and contours applied in dispersion charts, with a new 0% opacity option for full transparency.
Charts - Reference Lines: Enhanced reference line editing with silent validation (no error dialogs) and automatic value clearing after addition.
Data - Report Table to Data Table: Added merge tables feature for report export, combining multiple tables with automatic source tracking and grouping by column signature.
Data - Split Dates: Added functionality to divide DATE columns into Year, Month, and Day components with localized names and undo support, along with options to remove empty rows and columns.
Data - Table Heatmap: Implemented gradient-based heatmap formatting for data tables with three selectable color schemes and column-scoped application.
Data - Conditional Formatting: Selections of rows, columns, or cells now preserve the visibility of conditional formatting, preventing selection highlights from obscuring applied formats.
Data - Font Size Changes: Improved column width adjustment when changing font size, with enhanced scaling calculations and automatic resizing, including headers.
Data - Columns Summary: Optimized calculation of summary statistics when selecting columns, improving performance through adaptive parallel processing based on available CPU cores.
Data - Data Review: Outlier detection has been improved to reduce the number of false positives. The counting of empty rows has been debugged.
R-Interpreter - Code completion: Improved code completion display and user experience.
R-Interpreter - Executable Code Blocks: Intelligent recognition of multi-line executable code blocks allows users to run a complete statement from any cursor position when executing a line, automatically moving the cursor to the beginning of the next statement.
R-Interpreter - Global Search: Added project-wide R script search (Ctrl+Shift+F) with results displayed in a dedicated window.
R-Interpreter - Solved critical bugs: Fixed issues that prevented execution of some scripts.
R-Interpreter - In-vivo Printing: Added in-vivo printing support.
R-Interpreter - Automatic Matching: Automatic matching of brackets and quotation marks.
Performance: Reduced application startup time.
Performance: Reduced overhead during chart creation and updates, improving responsiveness when working with multiple layers or series.
Performance: Table core improvements to streamline workflows and improve UX.
Performance - Charts: Improved performance in chart data handling and statistical computations, resulting in faster rendering and better responsiveness when working with large datasets.
Bug Fixes: Various bug fixes and stability improvements.
Charts – Cancellation: All charts display a cancellation dialogue.
Charts - ProfileChart: New DotChart-style including errors and customizable connecting lines.
Charts - QBarChart & QDotChart: New quantitative chart types featuring improved automatic bar width calculation to handle gaps in qualitative X-axis scales, preventing bars from becoming excessively narrow, along with support for connecting lines.
Charts - BarChart: Connecting lines between bars in single-series charts with customizable line options.
Charts - Smooth Curves: R² annotation toggle per series with dynamic positioning.
Charts - Categorical Charts: Added @x ordering pattern detection for Violin, BoxChart, Bar, Dot, and Area charts to improve categorical axis ordering using custom sort values.
Charts - Contour Plots: Improved formula editor with intelligent paste support that automatically normalizes expressions copied from analysis outputs into valid x–y contour plot formulas, enhanced range validation based on formula domain (e.g., log(x) now enforces x > 0), and value-based color gradients (low–mid–high) with support for predefined or custom scales and persistent user-defined color preferences.
Charts - Opacity Controls: Extended opacity controls to histogram charts, violin density contours, and contours applied in dispersion charts, with a new 0% opacity option for full transparency.
Charts - Reference Lines: Enhanced reference line editing with silent validation (no error dialogs) and automatic value clearing after addition.
Data - Report Table to Data Table: Added merge tables feature for report export, combining multiple tables with automatic source tracking and grouping by column signature.
Data - Split Dates: Added functionality to divide DATE columns into Year, Month, and Day components with localized names and undo support, along with options to remove empty rows and columns.
Data - Table Heatmap: Implemented gradient-based heatmap formatting for data tables with three selectable color schemes and column-scoped application.
Data - Conditional Formatting: Selections of rows, columns, or cells now preserve the visibility of conditional formatting, preventing selection highlights from obscuring applied formats.
Data - Font Size Changes: Improved column width adjustment when changing font size, with enhanced scaling calculations and automatic resizing, including headers.
Data - Columns Summary: Optimized calculation of summary statistics when selecting columns, improving performance through adaptive parallel processing based on available CPU cores.
Data - Data Review: Outlier detection has been improved to reduce the number of false positives. The counting of empty rows has been debugged.
R-Interpreter - Code completion: Improved code completion display and user experience.
R-Interpreter - Executable Code Blocks: Intelligent recognition of multi-line executable code blocks allows users to run a complete statement from any cursor position when executing a line, automatically moving the cursor to the beginning of the next statement.
R-Interpreter - Global Search: Added project-wide R script search (Ctrl+Shift+F) with results displayed in a dedicated window.
R-Interpreter - Solved critical bugs: Fixed issues that prevented execution of some scripts.
R-Interpreter - In-vivo Printing: Added in-vivo printing support.
R-Interpreter - Automatic Matching: Automatic matching of brackets and quotation marks.
Performance: Reduced application startup time.
Performance: Reduced overhead during chart creation and updates, improving responsiveness when working with multiple layers or series.
Performance: Table core improvements to streamline workflows and improve UX.
Performance - Charts: Improved performance in chart data handling and statistical computations, resulting in faster rendering and better responsiveness when working with large datasets.
Bug Fixes: Various bug fixes and stability improvements.
View older versions (19)
v3.2.0
November 28, 2025
Download 670 MB
What's new
IA Assistant. An integrated chatbot powered by ChatGPT is now available within the NAVURE interface.
This assistant introduces a new format of user manuals, allowing users to ask questions in natural language and receive step-by-step guidance on how to perform different tasks.
A ChatGPT account (free or paid) is required to use this feature.
This assistant introduces a new format of user manuals, allowing users to ask questions in natural language and receive step-by-step guidance on how to perform different tasks.
A ChatGPT account (free or paid) is required to use this feature.
v3.1.1
October 23, 2025
Download 483 MB
What's new
Hierarchical Cluster Analysis: Dynamically adjusts available distance metrics based on selected variable types. Default method is now ward.D2, the original Ward implementation. Minor label updates for clarity.
Dissimilarity Procedure: Dynamically adjusts available distance metrics based on selected variable types.
Multi-Dimensional Scaling (MDS): Dynamically adjusts available distance metrics based on selected variable types.
Project Tree: Added Find option for easier navigation.
Table Reshape: Improved behaviour for more intuitive results.
Density Chart: Partition label shown at (x = mode, y = max).
DotChart (Post-Hoc): Now includes dashed connecting lines by default. Icons: Added new chart and report icons for easier file type identification.
Text Import: Solved issue with encoding when importing text files.
Apply Predictors: Output now includes output path when processing files in batch. Kaplan–
Meier Survival: Updated output for clarity.
PLS-Biplot: Button renamed from Tri-Plot to follow conventional naming.
PLS Summary Table: Expanded to provide a more complete description of output
. Saved Reports: Fixed an issue that prevented decimal format changes from being reflected when reopening saved reports.
Translations: Improved labeling and translations throughout the interface.
Dissimilarity Procedure: Dynamically adjusts available distance metrics based on selected variable types.
Multi-Dimensional Scaling (MDS): Dynamically adjusts available distance metrics based on selected variable types.
Project Tree: Added Find option for easier navigation.
Table Reshape: Improved behaviour for more intuitive results.
Density Chart: Partition label shown at (x = mode, y = max).
DotChart (Post-Hoc): Now includes dashed connecting lines by default. Icons: Added new chart and report icons for easier file type identification.
Text Import: Solved issue with encoding when importing text files.
Apply Predictors: Output now includes output path when processing files in batch. Kaplan–
Meier Survival: Updated output for clarity.
PLS-Biplot: Button renamed from Tri-Plot to follow conventional naming.
PLS Summary Table: Expanded to provide a more complete description of output
. Saved Reports: Fixed an issue that prevented decimal format changes from being reflected when reopening saved reports.
Translations: Improved labeling and translations throughout the interface.
v3.1.0
August 14, 2025
Download 483 MB
What's new
New Data Revision Report: New tool for automated data screening. Detects duplicated rows/columns, constant columns, and empty rows. Flags categorical columns that may represent numbers or dates, reporting predominant formats when applicable. Also checks for low-variance numerics, out-of-range proportions, negative values, outliers (numeric/dates), high-cardinality categoricals, low-frequency levels, and formatting inconsistencies. Summarized per variable and partition, highlighting fields that require attention.
New Area Chart: Now available for both categorical and quantitative x-axes. Can be toggled to/from bar or dot plot as needed.
Reference Lines by Value: Easily add multiple numeric or date reference lines. Now includes options to delete, recolor, adjust thickness, and change line patterns for all lines.
Enhanced line controls: Added more options to adjust line thickness and patterns in charts such as empirical densities, empirical distributions, and theoretical densities.
Nonlinear Models Cleaner Reports: Introduced aliases for original variables in formulas and tables, making reports clearer and easier to read.
Fixed minor bugs, translation issues, and behavioral inconsistencies.
New Area Chart: Now available for both categorical and quantitative x-axes. Can be toggled to/from bar or dot plot as needed.
Reference Lines by Value: Easily add multiple numeric or date reference lines. Now includes options to delete, recolor, adjust thickness, and change line patterns for all lines.
Enhanced line controls: Added more options to adjust line thickness and patterns in charts such as empirical densities, empirical distributions, and theoretical densities.
Nonlinear Models Cleaner Reports: Introduced aliases for original variables in formulas and tables, making reports clearer and easier to read.
Fixed minor bugs, translation issues, and behavioral inconsistencies.
v3.0.0
July 4, 2025
Download 482 MB
What's new
Professional and Enterprise versions unified into Professionl+
Background execution: Added background excecution of selected procedures that can take time to run. This liberates navure for other tasks
Nonlinear Model Selection: When fitting factor-level-specific models where factors influence specific parameters, it is useful to have a procedure to compare models with collapsed levels. This provides a straightforward way to automate model comparisons for selection.
Nonlinear Model Comparisons: A new procedure enables users to perform all pairwise comparisons. Where applicable, a likelihood ratio test is provided; otherwise, only AIC and BIC values are output.
Nonlinear Models support for the I() Function: Added support the use of the I() function in formulas, ensuring consistency with standard R syntax.
Linear model comparisons. The existing procedure has been refined to deliver clearer error messages and more consistent outcomes across various models. The output also provides a detailed breakdown of the parameters of the models being compared.
Generalized Linear Models: Non-Integer Response Support:The implementation now properly handles non-integer response variables in GLMs, even for families that typically expect integer-valued responses (e.g., Poisson, binomial).
Clipboard Support for Model Terms: Regression, ANOVA, linear, and generalized linear models now support copying and pasting fixed effects terms from the clipboard, simplifying model specification.
Merge tables by key. We’ve redesigned the table merging interface to make selecting and combining datasets more intuitive. The new layout clearly separates the primary and secondary tables into dedicated checklists, making it clear which table serves as the source or target and eliminating any confusion. After merging, the output retains the original row order of the primary table to ensure consistency and simplify validation.
Quantitative X-Axis for Dot and Bar Charts: Two new variants of dot and bar plots are now available. Unlike the current versions, these plots accept numeric and date variables for the x-axis. Access them by clicking the downward-facing arrow at the bottom of the standard dot and bar plot buttons and selecting the desired x-axis type from the dropdown menu.
Adjustable Bar Spacing: Bar plots provide configurable spacing between bars within the same category, enabling clearer visual distinction when multiple bars are grouped.
Background execution: Added background excecution of selected procedures that can take time to run. This liberates navure for other tasks
Nonlinear Model Selection: When fitting factor-level-specific models where factors influence specific parameters, it is useful to have a procedure to compare models with collapsed levels. This provides a straightforward way to automate model comparisons for selection.
Nonlinear Model Comparisons: A new procedure enables users to perform all pairwise comparisons. Where applicable, a likelihood ratio test is provided; otherwise, only AIC and BIC values are output.
Nonlinear Models support for the I() Function: Added support the use of the I() function in formulas, ensuring consistency with standard R syntax.
Linear model comparisons. The existing procedure has been refined to deliver clearer error messages and more consistent outcomes across various models. The output also provides a detailed breakdown of the parameters of the models being compared.
Generalized Linear Models: Non-Integer Response Support:The implementation now properly handles non-integer response variables in GLMs, even for families that typically expect integer-valued responses (e.g., Poisson, binomial).
Clipboard Support for Model Terms: Regression, ANOVA, linear, and generalized linear models now support copying and pasting fixed effects terms from the clipboard, simplifying model specification.
Merge tables by key. We’ve redesigned the table merging interface to make selecting and combining datasets more intuitive. The new layout clearly separates the primary and secondary tables into dedicated checklists, making it clear which table serves as the source or target and eliminating any confusion. After merging, the output retains the original row order of the primary table to ensure consistency and simplify validation.
Quantitative X-Axis for Dot and Bar Charts: Two new variants of dot and bar plots are now available. Unlike the current versions, these plots accept numeric and date variables for the x-axis. Access them by clicking the downward-facing arrow at the bottom of the standard dot and bar plot buttons and selecting the desired x-axis type from the dropdown menu.
Adjustable Bar Spacing: Bar plots provide configurable spacing between bars within the same category, enabling clearer visual distinction when multiple bars are grouped.
v2.8.2
May 26, 2025
Download 481 MB
What's new
Formulas: Adds a new column if no column is selected.
Non linear model display simplifyied: Formulas for nonlinear models—especially those involving factors—can become lengthy and hard to read. To improve clarity, we implemented an algorithm that simplifies their display using compact symbols.
More split and merge column character options. The splitting and merging character options have been extended to include commonly used characters.
Special characters in partitions.
Some special characters were not handled properly when present in partitioned items.
Bug fixes in dendrograms: Legends are now displayed correctly when two clusters of equal size are generated. Also resolved an inconsistency problem in the visibility of line options.
Non linear model display simplifyied: Formulas for nonlinear models—especially those involving factors—can become lengthy and hard to read. To improve clarity, we implemented an algorithm that simplifies their display using compact symbols.
More split and merge column character options. The splitting and merging character options have been extended to include commonly used characters.
Special characters in partitions.
Some special characters were not handled properly when present in partitioned items.
Bug fixes in dendrograms: Legends are now displayed correctly when two clusters of equal size are generated. Also resolved an inconsistency problem in the visibility of line options.
v2.8.1
April 29, 2025
Download 475 MB
What's new
Ordering categories. "Categories can be ordered in NAVURE by labeling them with @ followed by a numerical index (e.g., low@1). The software interprets these indices to display categories in the specified sequence when creating frequency and contingency tables.
All possible pairwise contingency tables. NAVURE can automatically generate all possible pairwise contingency tables from a given set of variables. Simply specify your row and column variables, and the system will compute every combination, enabling efficient cross-analysis.
BoxPlot options added. Secondary Y-axis, Opacity button, and various labeling options.
Percentiles 20 and 80 were added to summay statistics
Surveys: The procedure for creating frequency tables has been improved to facilitate its use in survey analysis.
Reference lines in charts now have an additional option to toggle the label position between near and far.
Dendrograms: Line options have been added.
All possible pairwise contingency tables. NAVURE can automatically generate all possible pairwise contingency tables from a given set of variables. Simply specify your row and column variables, and the system will compute every combination, enabling efficient cross-analysis.
BoxPlot options added. Secondary Y-axis, Opacity button, and various labeling options.
Percentiles 20 and 80 were added to summay statistics
Surveys: The procedure for creating frequency tables has been improved to facilitate its use in survey analysis.
Reference lines in charts now have an additional option to toggle the label position between near and far.
Dendrograms: Line options have been added.
v2.8.0
February 26, 2025
Download 475 MB
What's new
Bar or dot plots. An option has been added to generate dot-plots or bar-plots, which allow to visually represent means in linear, generalized linear and ANAVA models.
Order of legends. In linear, generalized linear and ANAVA models, the option to decide the order in which the legends should be displayed has been added. Maintains consistency between graphs when the same model is used to analyze several variables.
Model selection. Regression, ANAVA and linear models: users can now select models by backward elimination and best subset selection.
Lack-of-fit test. In linear models with covariates, the lack-of-fit test has been added as an option in the “Output” tab of the “Linear models, regression and ANAVA” dialog box.
Sample size. In the sample size design for the comparison of two means, the user can specify the power to calculate n or specify n and display the resulting power.
Sample size. Users can specify the total number of treatments (T) participating in the trial. When T > 2, the power of comparisons may vary depending on the type of post hoc test selected. Options include conservative (e.g., Tukey) or less conservative (e.g., Fisher) tests.
Generalized linear models. Best description for interpreting the offset in models with log link function.
Copying charts with transparent backgrounds. Two new entries has been added to the submenu Copy Special of the pop-up menu that appears when you right-click on the chart. One to copy as PNG and the other as SVG with transparent background.
Improved Folder Management for Saving Files. Now, the system remembers the last used folder when saving charts and reports, streamlining the process and eliminating the need to navigate through multiple directories.
UI Improvement: The four buttons for shrinking, extending, and moving the chart area vertically/horizontally, previously located in the X-Axis and Y-Axis tabs, have been relocated to the General Chart Options tab. The move action has been split into separate buttons, providing dedicated controls for shrink, extend, and move (horizontal/vertical) for improved intuitiveness.
Formulas. The Formulas button is enabled even if no column is selected. In this case, the button creates a column to contain the formula.
Tables: Truncated row number. On some machines, the table row number was truncated. This bug has been fixed.
Order of legends. In linear, generalized linear and ANAVA models, the option to decide the order in which the legends should be displayed has been added. Maintains consistency between graphs when the same model is used to analyze several variables.
Model selection. Regression, ANAVA and linear models: users can now select models by backward elimination and best subset selection.
Lack-of-fit test. In linear models with covariates, the lack-of-fit test has been added as an option in the “Output” tab of the “Linear models, regression and ANAVA” dialog box.
Sample size. In the sample size design for the comparison of two means, the user can specify the power to calculate n or specify n and display the resulting power.
Sample size. Users can specify the total number of treatments (T) participating in the trial. When T > 2, the power of comparisons may vary depending on the type of post hoc test selected. Options include conservative (e.g., Tukey) or less conservative (e.g., Fisher) tests.
Generalized linear models. Best description for interpreting the offset in models with log link function.
Copying charts with transparent backgrounds. Two new entries has been added to the submenu Copy Special of the pop-up menu that appears when you right-click on the chart. One to copy as PNG and the other as SVG with transparent background.
Improved Folder Management for Saving Files. Now, the system remembers the last used folder when saving charts and reports, streamlining the process and eliminating the need to navigate through multiple directories.
UI Improvement: The four buttons for shrinking, extending, and moving the chart area vertically/horizontally, previously located in the X-Axis and Y-Axis tabs, have been relocated to the General Chart Options tab. The move action has been split into separate buttons, providing dedicated controls for shrink, extend, and move (horizontal/vertical) for improved intuitiveness.
Formulas. The Formulas button is enabled even if no column is selected. In this case, the button creates a column to contain the formula.
Tables: Truncated row number. On some machines, the table row number was truncated. This bug has been fixed.
v2.7.4
January 20, 2025
Download 500 MB
What's new
Fixed an installation bug that prevented some critical files from being deployed correctly on some machines.
Fixed problem with special characters in user path
Simplified and improved conditional formatting of charts
Improved display and editing of reference line titles when axis scales represent dates
Fixed problem with special characters in user path
Simplified and improved conditional formatting of charts
Improved display and editing of reference line titles when axis scales represent dates
v2.7.3
December 19, 2024
Download 500 MB
What's new
Bug fix: Fixed an issue that caused incorrect labels on scatter and bar charts originating as outputs of statistical procedures.
Security Update: Updated external packages to address reported vulnerabilities and enhance system robustness.
Security Update: Updated external packages to address reported vulnerabilities and enhance system robustness.
v2.7.2
December 15, 2024
Download 497 MB
What's new
Fixed an installation bug that prevented some critical files from being deployed correctly on some machines.
Fixed problem with special characters in user path
Simplified and improved conditional formatting of charts
Improved display and editing of reference line titles when axis scales represent dates
Fix R interpreter plots blocking ui
Fixed problem with special characters in user path
Simplified and improved conditional formatting of charts
Improved display and editing of reference line titles when axis scales represent dates
Fix R interpreter plots blocking ui
v2.7.1
November 16, 2024
Download 497 MB
What's new
Fixed an installation bug that prevented some critical files from being deployed correctly on some machines.
v2.7.0
November 12, 2024
Download 494 MB
What's new
Graphics: Increase default fonts in graphics via configuration
Graphics: BarChart now has an option to separate bars within a group of bars.
Graphics: Graph series are no longer hidden when clicked. Double-click to hide them.
Graphics: For several graphic types, opacity options were added.
Can now cancel a process that may take a long time to complete
The control resulting from the combination of Alt key + mouse wheel to increase or decrease the font size has been added to the tables.
Reports have a pop-up menu to rename and delete selected reports.
Bar plot and scatter plot can be toggled to each other.
In Exploration of generalized linear models, linear combinations can be requested on the scale of the response variable or on the scale of the link function.
In generalized linear model Exploration, linear combinations now include standard errors and 95% confidence intervals.
Generalized linear models: Variance component table is now displayed before graphical output.
Generalized linear models: Added more diagnostic charts when normal family is selected
Contrast for linear and generalized linear models now includes a test for all contrasts simultaneously
Formulas: Set of functions for variable T-Student were added to formulas.
Formulas: Pi constant was added to formulas as a math function.
Made gray color of diagnostic plot points more intense
Added 0 reference lines for residuals in diagnostic plots
In linear and generalized linear models, the Observed vs. Predicted plots have been updated to include the r value.
The Model Explore button now has a drop-down menu with two items, Explore and Compare.
Improved paste form clipboard to handle more conditions and data types
Updated variableSelectorController to remove deleted columns in dataset
Paste to data table, allows pasting from tables generated by Chat GPT and Google Gemini
Fixed a bug with the graphs of non-linear models when a partition was specified.
Updates to high-dimensional regression procedures included for better interpretation of results
Reports: To avoid confussion thousand separators were remove in report tables
Added design generators (BIB, PBIB, ALPHA, LATTICE, LATIN SQUARE) for Enterprise version
Graphics: BarChart now has an option to separate bars within a group of bars.
Graphics: Graph series are no longer hidden when clicked. Double-click to hide them.
Graphics: For several graphic types, opacity options were added.
Can now cancel a process that may take a long time to complete
The control resulting from the combination of Alt key + mouse wheel to increase or decrease the font size has been added to the tables.
Reports have a pop-up menu to rename and delete selected reports.
Bar plot and scatter plot can be toggled to each other.
In Exploration of generalized linear models, linear combinations can be requested on the scale of the response variable or on the scale of the link function.
In generalized linear model Exploration, linear combinations now include standard errors and 95% confidence intervals.
Generalized linear models: Variance component table is now displayed before graphical output.
Generalized linear models: Added more diagnostic charts when normal family is selected
Contrast for linear and generalized linear models now includes a test for all contrasts simultaneously
Formulas: Set of functions for variable T-Student were added to formulas.
Formulas: Pi constant was added to formulas as a math function.
Made gray color of diagnostic plot points more intense
Added 0 reference lines for residuals in diagnostic plots
In linear and generalized linear models, the Observed vs. Predicted plots have been updated to include the r value.
The Model Explore button now has a drop-down menu with two items, Explore and Compare.
Improved paste form clipboard to handle more conditions and data types
Updated variableSelectorController to remove deleted columns in dataset
Paste to data table, allows pasting from tables generated by Chat GPT and Google Gemini
Fixed a bug with the graphs of non-linear models when a partition was specified.
Updates to high-dimensional regression procedures included for better interpretation of results
Reports: To avoid confussion thousand separators were remove in report tables
Added design generators (BIB, PBIB, ALPHA, LATTICE, LATIN SQUARE) for Enterprise version
v2.6.1
July 26, 2024
Download 494 MB
What's new
Licence activation hotfix
Linear and generalized linear regression model output includes regression formulas, even for models with factors.
Linear and generalized linear regression models allow the user to specify a column of labels for observed points in the output graphs.
Linear and generalized linear models allow for the inclusion of covariate products.
Intelligent model term addition when applying interactions for a set of factors and covariates.
Linear and generalized linear models: When polinomials are added to the list of covariates, they are also included in the model terms.
Linear and Generalized Linear Models Exploration: Tests for linear combinations of parameters now include a test of all linear combinations simultaneously, if appropriate.
Nonlinear regression model output includes explicit formula display, including parameter estimates, even when factors are part of the nonlinear model.
Nonlinear regression models allow for more than one fixed effect factor
Nonlinear Regression Models Allow More Than One Random Effect
Nonlinear regression models allow the user to specify a column of labels for observed points in the output graph.
Nonlinear regression model output graphs now add colors to data points that belong to different levels of factors or combinations of factors.
Data Tables: The Enumerate option for editing categories has been added to simplify coding when it is necessary to share confidential information. The procedure changes the original category name to its position in the ordered list of categories.
Charts: Added a custom label control for managing connectors. For flexibility they are managed by selected series.
Charts: Text annotations can now be left, center (default) and right justified.
Charts: For almost all types of series, elements can be colored individually. In the case of scatter plots, to apply a custom color to a group of points, these can be selected by dragging the mouse with the left mouse button held down while holding down the Ctrl key.
Charts: Theoretical density plots have been updated to improve aesthetics. Typos have also been fixed.
Independent and paired samples t-tests now allow selection of the type of hypothesis to be tested. Bilateral hypotesis test remains the default.
Find-Replace: Updated the dialog and logic behind it for a better user experience.
General: When switching between procedures that require a similar set of variables to continue, the variable selector is not reset.
Linear and generalized linear regression model output includes regression formulas, even for models with factors.
Linear and generalized linear regression models allow the user to specify a column of labels for observed points in the output graphs.
Linear and generalized linear models allow for the inclusion of covariate products.
Intelligent model term addition when applying interactions for a set of factors and covariates.
Linear and generalized linear models: When polinomials are added to the list of covariates, they are also included in the model terms.
Linear and Generalized Linear Models Exploration: Tests for linear combinations of parameters now include a test of all linear combinations simultaneously, if appropriate.
Nonlinear regression model output includes explicit formula display, including parameter estimates, even when factors are part of the nonlinear model.
Nonlinear regression models allow for more than one fixed effect factor
Nonlinear Regression Models Allow More Than One Random Effect
Nonlinear regression models allow the user to specify a column of labels for observed points in the output graph.
Nonlinear regression model output graphs now add colors to data points that belong to different levels of factors or combinations of factors.
Data Tables: The Enumerate option for editing categories has been added to simplify coding when it is necessary to share confidential information. The procedure changes the original category name to its position in the ordered list of categories.
Charts: Added a custom label control for managing connectors. For flexibility they are managed by selected series.
Charts: Text annotations can now be left, center (default) and right justified.
Charts: For almost all types of series, elements can be colored individually. In the case of scatter plots, to apply a custom color to a group of points, these can be selected by dragging the mouse with the left mouse button held down while holding down the Ctrl key.
Charts: Theoretical density plots have been updated to improve aesthetics. Typos have also been fixed.
Independent and paired samples t-tests now allow selection of the type of hypothesis to be tested. Bilateral hypotesis test remains the default.
Find-Replace: Updated the dialog and logic behind it for a better user experience.
General: When switching between procedures that require a similar set of variables to continue, the variable selector is not reset.
v2.5.0
June 26, 2024
Download 498 MB
What's new
All graphs, except for stacked bars and profiles chart, support ELEMENT color.
In scatter plots, groups of points can be selected by clicking and dragging while holding down the Ctrl key to apply ELEMENT color.
Profiles chart now has a standardized version for easy visualization of a set of variables with different scale.
Scatterplot Matrix: Displays scatter plots and their correlations in a grid. Click on any scatterplot or correlation panel to highlight that pair. Clicking on a diagonal panel removes the highlight.
Scatter plot point size is automatically selected based on the number of points.
Boxplots now have labels that display the median value.
Labels in all charts can be moved individually by clicking and dragging
Labels in all charts can now be edited individually
Pie plot titles and font properties can be edited
Ribbon graph tabs anticipate user intent when a graph element is selected
New intelligent sampling procedure for scatter plots preserves data structure, conserves computing resources, and improves speed
Nonlinear models now accept class factors, which are easily included through an intuitive interface that allows users to control which parameters are affected
Nonlinear models now accept multiple random factors, which are treated as nested by their order of inclusion, with control over which parameters the random effects apply to.
Data: Now accepts mouse wheel input with the Shift key pressed to scroll wide tables horizontally.
Data: Reshaping from wide to long and long to wide format now accepts categorical variables or mixtures.
Data: Improved speed when exporting result tables to data tables.
Data: Improved performance when inserting large data sets into the data table.
Parallel Computing: Several procedures in NAVURE allow for parallel processing. The user can now control the maximum number of cores assigned to a job. NAVURE ensures that no more than the available physical cores are used.
Fixed a bug that prevented testing for linear combinations of fixed parameters in the Linear and Generalized Linear Model Exploration tool.
In scatter plots, groups of points can be selected by clicking and dragging while holding down the Ctrl key to apply ELEMENT color.
Profiles chart now has a standardized version for easy visualization of a set of variables with different scale.
Scatterplot Matrix: Displays scatter plots and their correlations in a grid. Click on any scatterplot or correlation panel to highlight that pair. Clicking on a diagonal panel removes the highlight.
Scatter plot point size is automatically selected based on the number of points.
Boxplots now have labels that display the median value.
Labels in all charts can be moved individually by clicking and dragging
Labels in all charts can now be edited individually
Pie plot titles and font properties can be edited
Ribbon graph tabs anticipate user intent when a graph element is selected
New intelligent sampling procedure for scatter plots preserves data structure, conserves computing resources, and improves speed
Nonlinear models now accept class factors, which are easily included through an intuitive interface that allows users to control which parameters are affected
Nonlinear models now accept multiple random factors, which are treated as nested by their order of inclusion, with control over which parameters the random effects apply to.
Data: Now accepts mouse wheel input with the Shift key pressed to scroll wide tables horizontally.
Data: Reshaping from wide to long and long to wide format now accepts categorical variables or mixtures.
Data: Improved speed when exporting result tables to data tables.
Data: Improved performance when inserting large data sets into the data table.
Parallel Computing: Several procedures in NAVURE allow for parallel processing. The user can now control the maximum number of cores assigned to a job. NAVURE ensures that no more than the available physical cores are used.
Fixed a bug that prevented testing for linear combinations of fixed parameters in the Linear and Generalized Linear Model Exploration tool.
v2.4.0
June 3, 2024
Download 497 MB
What's new
Text annotations: they allow to change the border style, thickness and color. They allow to change the background color or to be transparent and they also allow to rotate.
Annotation properties can be applied to all annotations or to the selected annotation.
Series labels: Now allow four modes to handle overlapping.
Chart Axis Markers. Now allow cross markers and hidden minor tick markers.
Categorical x-axis as in bar charts, box plots, dot plots, etc., can now be ordered in ascending or descending order by numeric values or dates. The numeric value ordering gets the first number in the labels, so it works with labels representing intervals.
Categorical X-axis labels can now be edited.
Graphs can be copied to the clipboard as SVG. And if you use a dark style for the application, you now have the option to copy the charts with a white background, which is usually better for inclusion in documents or PowerPoint presentations.
Linear and Generalized Linear Model graphical bar graphs can be ordered by ascending or descending of the mean values, or by alphabetical or numerical interpretation of the bar labels.
Thickness of error bars in Bar charts and Dot plot can now be changed
Bar graph now correctly handles cases where both negative and positive bars are displayed.
Custom Export in the chats options, now named Multiple Export was updated to simplify user experience.
Improved UI
Annotation properties can be applied to all annotations or to the selected annotation.
Series labels: Now allow four modes to handle overlapping.
Chart Axis Markers. Now allow cross markers and hidden minor tick markers.
Categorical x-axis as in bar charts, box plots, dot plots, etc., can now be ordered in ascending or descending order by numeric values or dates. The numeric value ordering gets the first number in the labels, so it works with labels representing intervals.
Categorical X-axis labels can now be edited.
Graphs can be copied to the clipboard as SVG. And if you use a dark style for the application, you now have the option to copy the charts with a white background, which is usually better for inclusion in documents or PowerPoint presentations.
Linear and Generalized Linear Model graphical bar graphs can be ordered by ascending or descending of the mean values, or by alphabetical or numerical interpretation of the bar labels.
Thickness of error bars in Bar charts and Dot plot can now be changed
Bar graph now correctly handles cases where both negative and positive bars are displayed.
Custom Export in the chats options, now named Multiple Export was updated to simplify user experience.
Improved UI
v2.3.1
May 9, 2024
Download 497 MB
What's new
Charts: Added a button to change the color of the x-axis in charts
Charts: Added a button to the appearance group to hide/show the chart border
Frequency tables: Fixed space for labels in Spanish version UI
Fixed a bug in linear and generalized linear models involving interactions with polynomial terms that prevented them from being included in the model.
Fixed a bug that prevented changing the legend position
Charts: Added a button to the appearance group to hide/show the chart border
Frequency tables: Fixed space for labels in Spanish version UI
Fixed a bug in linear and generalized linear models involving interactions with polynomial terms that prevented them from being included in the model.
Fixed a bug that prevented changing the legend position
v2.3.0
May 4, 2024
Download 481 MB
What's new
Two Samples menu: Binomial proportion comparison now uses normal approximation.
One Sample Menu: Confidence interval estimation has new tooltips in the dialog box to help the user decide how to use the procedure.
Proportions are now included in the list of statistics, and normal approximation is also used for the calculation of confidence intervals of proportions.
One Sample menu: Test for a Variance now has a tooltip to help the user understand what the procedure is for.
Bar Chart: Bars representing negative values now display the error bar accordingly.
Charts: Charts now allow rotation.
Sort X-Axis. Charts with a categorical X-axis, such as BarChart, DotChart, and others, now allow sorting by numeric values if the categories can be interpreted as numeric.
Non-linear models: If the model includes more than one covariate, a plot is generated for each covariate, with the others set to percentiles 0.25, 0.5, and 0.75 to generate three series within the plot. If a covariate is binary. No main plot is generated for that covariate. Instead, two series are included in the main plot.
Non-linear models: More than one random variable is allowed. These random variables are managed as nested variables according to the coding, or if it is ambiguous, the order of the covariates indicates the nesting order.
R Interpreter Fixes: Several fixes have been implemented to ensure the proper functioning of the R interpreter across different computer environments and R versions.
Projects: Autosave timing is now controlled in the configuration dialog. It is set to 10 minutes by default.
Data Table: Fixed a bug when trying to paste with headers using the submenu of the Paste icon in the ribbon icon.
The test data set has been updated according to the new video tutorials
One Sample Menu: Confidence interval estimation has new tooltips in the dialog box to help the user decide how to use the procedure.
Proportions are now included in the list of statistics, and normal approximation is also used for the calculation of confidence intervals of proportions.
One Sample menu: Test for a Variance now has a tooltip to help the user understand what the procedure is for.
Bar Chart: Bars representing negative values now display the error bar accordingly.
Charts: Charts now allow rotation.
Sort X-Axis. Charts with a categorical X-axis, such as BarChart, DotChart, and others, now allow sorting by numeric values if the categories can be interpreted as numeric.
Non-linear models: If the model includes more than one covariate, a plot is generated for each covariate, with the others set to percentiles 0.25, 0.5, and 0.75 to generate three series within the plot. If a covariate is binary. No main plot is generated for that covariate. Instead, two series are included in the main plot.
Non-linear models: More than one random variable is allowed. These random variables are managed as nested variables according to the coding, or if it is ambiguous, the order of the covariates indicates the nesting order.
R Interpreter Fixes: Several fixes have been implemented to ensure the proper functioning of the R interpreter across different computer environments and R versions.
Projects: Autosave timing is now controlled in the configuration dialog. It is set to 10 minutes by default.
Data Table: Fixed a bug when trying to paste with headers using the submenu of the Paste icon in the ribbon icon.
The test data set has been updated according to the new video tutorials
v2.2.4
April 22, 2024
Download 481 MB
What's new
A search tool has been added to the top of the ribbon to make finding features easier. In addition, the search criteria have been expanded to provide more comprehensive and accurate results.
Conditional Column Formatting: General improvements have been made, with color scales now updating immediately.
Hierarchical Cluster Analysis: Added the Bray-Curtis dissimilarity index as an option for metric variables.
Linear Mixed Models: The nugget parameter in the correlation function now features an associated checkbox for easier management.
Probability Calculator: Probability events are now accurately labeled, when considering discrete distributions.
Resolved a bug preventing the construction of one-sample confidence intervals in the Spanish version.
User Experience Enhancements: Various graphical behaviors have been adjusted to enhance the overall user experience.
R Interpreter Fixes: Several fixes have been implemented to ensure the proper functioning of the R interpreter across different computer environments and R versions.
Performance Improvements: Core libraries have been updated to enhance overall performance, alongside fixes for minor encoding issues.
Conditional Column Formatting: General improvements have been made, with color scales now updating immediately.
Hierarchical Cluster Analysis: Added the Bray-Curtis dissimilarity index as an option for metric variables.
Linear Mixed Models: The nugget parameter in the correlation function now features an associated checkbox for easier management.
Probability Calculator: Probability events are now accurately labeled, when considering discrete distributions.
Resolved a bug preventing the construction of one-sample confidence intervals in the Spanish version.
User Experience Enhancements: Various graphical behaviors have been adjusted to enhance the overall user experience.
R Interpreter Fixes: Several fixes have been implemented to ensure the proper functioning of the R interpreter across different computer environments and R versions.
Performance Improvements: Core libraries have been updated to enhance overall performance, alongside fixes for minor encoding issues.
v2.2.3
April 15, 2024
Download 481 MB
What's new
Funcionalidad de busqueda mejorada
Se ha corregido un error que impedía mostrar correctamente los resultados de Kruskal-Wallis.
Se ha corregido un error que impedía al interprete de R mostrar graficos
Mejoras generales
Se ha corregido un error que impedía mostrar correctamente los resultados de Kruskal-Wallis.
Se ha corregido un error que impedía al interprete de R mostrar graficos
Mejoras generales
System requirements
- Windows 10 or later (64-bit)
- 1.5 GHz processor or faster
- 4 GB RAM (8 GB recommended)
- 500 MB of free disk space
- .NET 10 (bundled in installer)