Download GraphPad Prism 10.6.1.892 Patched [Latest] Free

Description of GraphPad Prism 10.6.1.892:

Have you ever felt overwhelmed by complicated data analysis tools? Spreadsheets and coding platforms can be powerful, but they often demand too much time to learn. That’s where GraphPad Prism 10.6.1.892 Patched comes in. It’s designed to make statistics and graphing easier, faster, and more intuitive—without sacrificing accuracy.

Originally built for life sciences, Prism has grown into a trusted tool for students, researchers, and professionals across many fields. It combines biostatistics, curve fitting, and publication-quality graphing into a single, easy-to-use program.

GraphPad Prism 10.6.1.892 Full Version can be the preferred analysis and charting solution that is specifically designed for scientific research. Join the world’s leading scientists and learn how to use Prism to save time, select better analyses, create elegant graphs, and present research results. GraphPad Prism Full Version is a powerful statistical and scientific graphing software that combines data organization with understandable statistics, comprehensive curve fitting, and scientific graphing.

GraphPad Prism 10.6.1.892 Features Highlights:

Comprehensive Analysis and Powerful Statistics, Simplified

Organize Your Data Effectively

GraphPad Prism 10.6.1.892 Crack is specially formatted for the analysis you want to perform, including quantitative and categorical data analysis. This makes it easy to enter data correctly, select the right analysis, and create stunning graphs.

Perform The Right Analysis

Avoid statistical jargon. In plain language, Prism presents an extensive library of analyses from general to highly specific: t-tests, one, two-, and three-way ANOVA, linear and non-linear regression, dose-response curves, binary logistic regression, survival analysis, and a principal component analysis. analysis and more. Each analysis has a checklist to help you understand the necessary statistical assumptions and confirm that you have selected the appropriate test.

Get Actionable Help As You Go

Reduce the complexity of statistics. Prism online help exceeds your expectations. At almost every step, you get access to thousands of pages of Prism user manuals. Learn with Prism Academy video tutorials, tutorials, and learning materials. Browse the portfolio of charts and learn how to create different types of charts. Training datasets will also help you understand why you should perform certain analyses and how to interpret your results.

Work Smarter, Not Harder

One-Click Regression Analysis

No other program makes curve fitting easier than Prism. Select an equation and Prism does the rest—fit the curve, display a table of results and function parameters, draw the curve on the graph, and interpolate unknown values.

Focus on Your Research, Not Your Software

GraphPad Prism handles the encoding for you. Graphs and results are automatically updated in real-time. Any changes to data and analyses—direct data entry, omission of erroneous data, correction of typographical errors, or change in analysis selection—are instantly reflected in results, graphs, and layouts.

Automate Your Work Without Programming

Automatically add multiple pairwise comparisons to your analysis with a single click. To adjust the parameters of these lines and stars, simply click the button on the toolbar again. Make adjustments to the data or analysis, and the results displayed on the graph will update automatically.

The Fastest Way to Elegantly Graph and Share Your Work

Countless Ways to Customize Your Graphs

Explore countless ways to represent a single set of data. Choose a visualization style that most clearly conveys the story behind your data. Simply select a graph type and then customize it in real time by changing the data layout, data point style, labels, fonts, colors, and more. The customization options are endless.

Explore Your Data

Focus your efforts on analyzing the most important data. Customize the way data relationships are represented to efficiently explore large datasets. Did you notice something interesting? Highlight one data point to examine the corresponding properties. With Prisms’ robust data processing capabilities, you can save time and ensure your analysis is based on clean, well-structured data.

Export Publication-Quality Graphs With One Click

GraphPad Prism 10.6.1.892 Keygen allows you to customize the export (file type, resolution, transparency, dimensions, RGB/CMYK color space) according to the requirements of the magazines. Set the default settings to save time.

Collaboration. Simplified

Avoid those confusing email threads and use Prism Cloud to share, view, and collaborate on your Prism projects. Protect the interoperability and reusability of your results with the Prism Open Access File Format. Using industry-standard formats (CSV, PNG, JSON, etc.), you can be sure that your designs can be used outside of Prism to open up new possibilities for your workflows and data integration.

More Effective and Efficient Research

Greater Collaboration

Use Prism Cloud to avoid those messy email streams. Keep all your discussions in one place with secure control over who has access to your work.

A More Open Access File Format

By using industry-standard formats (CSV, PNG, JSON, etc.), you can ensure your projects can be used outside of Prism and open up new possibilities for your workflows and data integration.

Expanded Data Table Capabilities

You can open as many windows as you like, and the data is in 2048 columns with 512 sub-columns each. An extended analysis constants dialog allows you to reference additional results for all types of analyses.

Intelligent Data Wrangling

A new set of tools for preparing data for analysis. Covering data tables with multiple variables, analysis selection and transformation, and extraction and modification functionality.

Hook Constant Dialog Upgrade

A handy way to establish links between different elements in Prism. The new easy-to-navigate tree structure now spans the entire Prism analysis library.

Featuring Eight Kinds of Data Tables

XY tables

Used when each data point is defined by a single X and Y value. These types of data are often suitable for linear or non-linear regression models.

Column tables

Used for data grouped by a single grouping variable (for example, “Treatment vs. control” or “Women vs. men”). Often analyzed using t-tests and one-way analysis of variance.

Grouped tables

Used for data grouped by two grouping variables (eg, control women versus treatment for women versus control group of men versus treatment for men). Often analyzed using a two-way analysis of variance.

Contingency tables

Used for count data grouped by two grouping variables (treatment or control, and positive or negative result). Suitable for chi-square analysis and Fisher’s exact test.

Survival tables

Used to perform a Kaplan-Meier survival analysis. Each row represents a subject or person with an elapsed survival time and outcome.

Parts of whole tables

Used when it makes sense to ask, “What percentage of the total is each value in the table?”. Used to calculate fractions and build pie charts.

Multiple variables tables

Used when each row of data is a separate observation, and each column is a different variable and supports text values. Can be analyzed directly with multiple linear regression, Cox regression, and others, or restructured into one of the other Prism table types.

Nested tables

Used when data is organized into hierarchical groups. Analyzed using nested t-tests or nested one-way ANOVA.

More Sophisticated Statistical Analyses

Perform repeated measures ANOVA, even with missing data

GraphPad Prism will now automatically fit the mixed effects model to complete this analysis.

Perform simple and multiple logistic regression

Fitting a model to a binary outcome (yes/no, win/lose, pass/fail) based on a single predictor variable (simple logistic regression) or multiple predictor variables (multiple logistic regression)

Principal Component Analysis (PCA)

Calculate and select the principal components that describe the largest variance in your data. Choose from selection methods, including parallel analysis with Monte Carlo simulation, eigenvalue threshold, variance proportion threshold, and more.

Multiple t-test (and nonparametric) analyses

Run multiple independent comparison tests with two samples at the same time. Choose from parametric/non-parametric tests and indicate if the data is unpaired/paired.

Analyze categorical variables with text in Multiple Linear and Multiple Logistic Regression

No coding is required! Prism automatically encodes categorical variables and performs the analysis. Provide a link and organize all levels of categorical variables in the model for clear and readable results.

Interpolation from multiple linear and multiple logistic regression

Use the specified model to predict the values of the dependent variable based on the data in the data table or use the theoretical values specified in the analysis.

GraphPad Prism 10.6.1.892 Key Features:

Statistical Comparisons

Paired or unpaired t-tests. Reports P values and confidence intervals.
Automatically plot a volcano (difference vs. P value) based on multiple t-test analyses.
Non-parametric Mann-Whitney test, including the confidence interval of the median difference.
Kolmogorov-Smirnov test for comparing two groups.
Wilcoxon test with median confidence interval.
Run multiple t-tests at once using false discovery rates (or Bonferroni multiple comparisons) to select which comparisons are discoveries for further investigation.
Routine or repeated measures ANOVA followed by Tukey, Newman-Keuls, Dunnett, Bonferroni, or Holm-Sidak multiple comparison tests, post-test for trend, or Fisher’s least-significant difference test.
One-way analysis of variance without the assumption of populations with equal standard deviations using Brown-Forsyth and Welch analysis of variance, followed by appropriate comparison tests (Games-Howell, Tamhane T2, Dunnett T3)
Many tests of multiple comparisons come with confidence intervals and multiplicity-corrected P-values.
Toeplitz-Geisser correction, so repeated measures of one-, two-, and three-way ANOVA should not assume sphericity. When this is selected, multiple comparison tests also do not assume sphericity.
Nonparametric one-way Kruskal-Wallis or Friedman analysis of variance with Dunn’s posttest.
Fisher’s exact test or chi-square test. Calculate the relative risk and odds ratio with confidence intervals.
Two-tailed analysis of variance, even with missing values in some posttests.
Two-way analysis of variance with repeated measurements of one or both factors. Multiple comparisons of Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s LSD testing basic and simple effects.
Three-way analysis of variance (limited to two levels on two factors and any number of levels on the third).
Analysis of repeated measures data (one-, two-, and three-tailed) using a mixed effects model (similar to repeated measures ANOVA, but with the ability to handle missing data).
Compare data from nested data tables using a nested t-test or nested one-way ANOVA (using a mixed-effects model).

Nonlinear Regression

Choose from one of our 105 built-in equations or enter your own. Now includes a family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth then decline).
Enter differential or implicit equations.
Enter different equations for different datasets.
Global non-linear regression – common parameters between datasets.
Robust non-linear regression.
Automatic identification or elimination of outliers.
Compare models using the complementary sum of squares F-test, or AICc.
Compare parameters between datasets.
Apply restrictions.
Weigh the scores differently with several methods and evaluate how well your weighting method worked.
Accept automatic starting estimates or enter your own.
Automatically display the curve in the specified range of X values.
Determine the fit accuracy with SE or CI parameters. Confidence intervals can be symmetrical (traditional) or asymmetric (which is more accurate).
Quantify the inaccuracy symmetry with Hogaard’s asymmetry.
Plot confidence intervals or prediction ranges.
Check the normality of the residuals.
Runs or repeats a model validation.
Report the covariance matrix or set of dependencies.
Easily interpolate points from a best-fit curve.
Match the straight lines to the two datasets and determine the point of intersection and both slopes.

Survival Analysis

Kaplan-Meier survival analysis. Perform a non-parametric survival analysis for different groups and compare the calculated survival curves for each group with a log-rank test (including a trend test).
Regression of proportional Cox hazards. Perform a semiparametric survival analysis that allows you to include additional continuous or categorical predictor variables (covariates). Automatically generate survival curve plots for any set of predictor variable values.

Principal Component Analysis

Selection of components using parallel analysis (Monte Carlo simulation), Kaiser criterion (eigenvalue threshold), variance proportion threshold, etc.
Automatically generated screen charts, loading charts, dual charts, and more.
Use the results in subsequent applications, such as Principal Component Regression.

Graph of multiple variables

Specify the variables that define the coordinates of the axes, color, and size.
Create bubble charts.

Column Statistics

Descriptive statistics calculation: minimum, maximum, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.
Mean or geometric mean with confidence intervals.
Frequency distributions (bin to histogram), including cumulative histograms
Normality testing is done using four methods (new: Anderson-Darling).
Test for lognormality and probability of sampling from a normal (Gaussian) distribution versus a lognormal distribution
Create a QQ plot as part of a normality test.
One-sample t-test or Wilcoxon test to compare the column mean (or median) to the theoretical value.
Determine outliers using the Grubbs method or the ROUT method.
Analyze a stack of P values using Bonferroni’s multiple comparisons or FDR approach to identify “significant” findings.

Simple Linear Regression and Correlation

Compute the slope and intercept with confidence intervals.
Draw a regression line through the specified point.
Suitable for reproducing Y values or average Y values.
Check the deviation from linearity with a run test.
Calculate and display residuals in four different ways (including a QQ plot).
Compare the slopes and intersection points of two or more regression lines.
Interpolate new points along the standard curve.
Pearson or Spearman correlation (non-parametric).

Generalized Linear Models (GLMs)

Create models that relate multiple independent variables to a single dependent variable using the new multivariable datasheet.
Multiple linear regression (when Y is continuous).
Poisson regression (when Y is considered; 0, 1, 2, …).
Logistic regression (when Y is binary; yes/no, pass/fail, etc.).
Clinical (diagnostic) laboratory statistics
Blend-Altman plots.
Receiver Operator Characteristics (ROC) curves.
Deming regression (linear regression type II).

Simulators

Simulation of XY, Column, or Contingency tables.
Repeat the analysis of the simulated data as a Monte Carlo analysis.
The plot of functions from the equations you choose or enter, and the parameter values you choose.
Other Calculations
The area under the curve with a confidence interval.
Data conversion.
normalize.
Define outliers.
Normality tests.
Transpose tables.
Subtract the baseline (and concatenate the columns).
Calculate each value as part of its row, column, or total.

What’s new in GraphPad Prism 10.6.0?

(Released on 20-08-2025)

New Features:

Consensus Metrics for Optimal Cluster Number

Take the guesswork out of clustering analysis with our new consensus metrics feature. This powerful addition automatically evaluates multiple clustering algorithms and statistical measures to provide data-driven recommendations for the optimal number of clusters in your dataset. No more manual trial-and-error – let Prism’s advanced analytics guide you to the most statistically sound clustering solution for your research.

Enhanced Extract and Rearrange Analysis

Transform your data manipulation workflow with comprehensive new capabilities for the Extract and Rearrange analysis. Define subject variables for column output data format, specify custom row titles to carry over variable information for better data organization, and choose to report only complete rows for enhanced data clarity. Plus, intelligent alerts now notify you when multiple input values map to the same location, clearly indicating which values were retained or omitted – giving you complete transparency and control over your data restructuring process.

Feature Improvements:

Statistical Analysis:

Made parameter diagnostic options more intuitive in the Multiple linear/logistic and Cox regression parameters dialog.
Moved the “Type” dropdown up in the control hierarchy to clarify that it applies to all three subsequent options: CI, standard error (SE), and significance test/P values.
Renamed the “Type” dropdown to “Approach”.
Enabled SE calculations when the Wald approach is selected, even if CI for parameters is not chosen.
Added the new transform “Inflection Point = (1/K)*ln(ln(YM/Y0))” for the Gompertz growth function.

Graph Customization:

Made it possible to change the Y and X axes titles of the target graph independently in the Magic dialog.
Enabled the export of graphs and layouts to the SVG format.
Improved the descriptions of file formats in the Export Graph/Layout dialog.
Implemented a feature that allows the loading plot to have a different color than the PC scores while incorporating the specified group color used in the PC scores graph on the biplot graph for enhanced visual distinction.

Performance:

Fixed an issue causing reduced performance of rendering heatmap graphs in projects with large data sets for Prism activated with user-based license.
(Windows) Improved the performance of switching between graph and layout sheets that contained large imported images.

Analysis-Related Bug Fixes:

Fixed the issue in which incorrect values were displayed in the ‘Mean diff. CI plot’ tab of Nested t test result sheets when analyzed data contained missing values.
Fixed the issue in which X[Y] (the value of X for a given value of Y) transformations were incorrectly reported as the same value for all datasets when using a custom formula with the “share hill slope” constraint in Nonlinear Regression with shared parameters.
(Windows) Fixed the issue in which data sets with data were displayed multiple times in Select and Transform result sheets when some data sets were deleted from the data table.
(Windows) Fixed the issue in which data linked to the Nonlinear regression results were not updated in the data table after changing parameters in the ‘Constrain’ tab of the parameters dialog.
(Mac) Fixed the issue in which Bland-Altman method comparison analysis resulted in empty result sheets when a label variable was included.
(Mac) Fixed inconsistencies in the text of the ‘Extract and rearrange’ analysis parameters dialog, ensuring uniformity in wording for macOS and Windows users.

Graphing Bug Fixes:

Fixed the issue in which variable values were not applied for Heatmap axis labels when the ‘Row titles’ option was previously selected in the Format Axes dialog or Axes tab of the Inspector.
Resolved the issue in which the distance between rows of the Number at Risk table unexpectedly increased when X title or group titles were multi-lined.
Corrected the dashed line for 95% Confidence Intervals in One-way ANOVA graphs with lognormal distribution that was incorrectly plotted at X=0 instead of the expected X=1.
Fixed the issue in which annotations on scatter plot graphs were covered by symbols – annotations now display above symbols.
Resolved the absence of default data set titles in result sheets of Unpaired t test when analyzed data table lacked column titles – graphs now display appropriate X axis labels.
Fixed the issue in which symbols were not displayed and editing options were disabled in graphs generated from Transform analysis applied to Nonlinear regression ‘Curve’ results.
Fixed the issue in which symbols overlapped with annotations in scatter plots with bar graphs when symbol size or error bar thickness was increased.
Corrected symbol display on column scatter plots that were incorrectly shown as ‘One symbol per row’ instead of the expected ‘Scatter dot plot’ when an empty data set was present.
Fixed the issue in which mean lines and boxes were shown on Nested graphs for empty sub-columns in the data table when the gap for missing values was more than 0%.
Eliminated unnecessary zeroes shown in annotations for missing values on grouped and nested graphs with bars.
Fixed the crash that occurred when creating Scatter or ‘Symbols (at mean or median)’ grouped graphs with 0% spacing set for blank cells when any data set contained missing values and the difference between the last values of the data sets was more than 6 rows.
Resolved the issue in which data points from data sets except for the first one were not displayed on Superimposed symbols graphs from the Grouped graph family when the first row was blank for that column in the source data table with errors.
Fixed the issue in which changing the font size of one Number at Risk table element affected the size of the whole table.
Corrected “Clustered data” graphs that would appear empty after performing K-means analysis when an empty column was inserted between two continuous variables in the input data table.
Resolved the issue with creating empty heatmap graphs from MV data by adjusting the UI for selecting “Metric Variable” and “Metric”, and disabling invalid options in heatmap dialogs and the Inspector.
Fixed the issue in which the Y axis disappeared after changing the scale to Log 2 or Log 10 for the Loadings graph generated from PCA analysis.
(Windows) Corrected legend misalignment that occurred when pasting graphs from layouts in a Prism document created in Mac Prism into MS PowerPoint on Windows.
(Windows) Fixed the issue in which the upper part of bars was missing in grouped interleaved scatter bar graphs when the Y axis was segmented and there were hundreds of data points.
(Windows) Resolved the issue in which error bars were displayed in the wrong direction (below) on ‘Scatter plot with bar’ graphs when the error bar was longer than the length of the bar.
(Windows) Fixed the issue in which plotted negative values were incorrectly shifted upward in grouped graphs when the direction of the error bar was set to ‘Above’.
(Windows) Fixed the issue in which graphs disappeared after performing ‘t test’ or ‘multiple t test’ analysis and clicking the Undo button while in the graph gallery.
(Windows) Resolved the issue in which error bars displayed as lines overlapped annotations in column bar graphs – annotations are now correctly positioned above error bars.
(Windows) Fixed the issue in which annotations were cut off in exported graphs when the Y-axis was hidden and the graph title was removed.
(Windows) Corrected decimal display for zero values in annotations that were not being shown on graphs.
(Windows) Fixed the issue in which annotations disappeared for the first column when changing the appearance to aligned or scatter dot plot with bars.
(Windows) Resolved the issue in which it was not possible to format symbol colors on graphs from data tables that were set to “Grouped or Nested” format with only one row of data.
(Windows) Fixed the issue in which embedded data tables in graph pages did not update automatically to reflect changes from results.
(Windows) Corrected bar borders that crossed the axis when the border thickness was set to bold.
(Windows) Resolved the issue that prevented vertical distribution of text objects on graphs.
(Windows) Fixed the issue in which disabled left Y-axis was displayed instead of the right Y-axis when the ‘Right Y axis’ option was selected in ‘Format Graph’ for Survival graphs.
(Windows) Fixed the issue in which inapplicable ‘Appearance’ and ‘Plot’ options were applied to graphs after changing the scale to Log for the Y-axis when the data table had mean and error format.
(Windows) Corrected missing plotted values and sample sizes that were not displayed on ‘Before-after’ Column graphs.
(Windows) Resolved the issue in which adding new data sets from transforms to graphs could cause existing data to randomly disappear or reappear in the graph.
(Windows) Fixed an issue in which aligning grouped text objects on a graph caused individual items to overlap instead of maintaining their original spacing.
(Mac) Fixed the issue in which the ‘Set Font’ button in the Format Graph dialog’s Labels tab for Heatmap graphs did not function properly and caused crashes after exiting the dialog.
(Mac) Fixed the issue in which changing the Y-axis scale from Linear to Log10 incorrectly displayed standard deviations as geometric values on graphs instead of the expected mean ± SD format.
(Mac) Fixed the issue in which it was not possible to perform changes for ‘Before-After’ graph type with ‘Lines only’ plot via ‘Format points’ submenu for selected rows in data tables.
(Mac) Fixed an issue in which the bubble color and size dropdowns in the Biplot and PC scores graph did not display variables when column titles were deleted in the source data table, ensuring default titles are now present when titles are missing.
(Mac) Fixed the issue in which the preview of graphs generated by PCA were empty in the “Change Graph Type” dialog after applying “Symbol fill color” or “Symbol size” and using the undo operation.

Other Bug Fixes:

Resolved the issue in which the ‘Apply formatting applied to individual points or bars’ option in the Magic dialog was disabled for grouped scatter graphs.
Fixed the issue in which a new info sheet was unexpectedly duplicated during ‘Duplicate Family’ operation when the auto-create option was disabled.
Corrected the behavior of frozen graphs that would unexpectedly be altered upon opening the project.
Fixed the issue in which custom column titles in green result sheets of Unpaired t test, Simple linear regression, PCA, and clustering analyses were unexpectedly replaced with titles from the source data table after results recalculation.
Resolved the issue in which a ‘Disk or memory error occurred’ alert would appear when changing the random effect option in Nested t test parameters dialog after reducing the number of subcolumns in the analyzed data table.
Fixed the crash that occurred when performing the Magic command on Dendrogram or Heatmap graphs when the example graph had a segmented X-axis.
Fixed the crash that would occur when performing the undo operation after updating the parameters for a Monte Carlo simulation if the source simulated data contained outliers.
Fixed the crash that would occur upon selecting a result sheet from the gallery view in a Prism project with a corrupted sheet structure.
Fixed the issue in which results disappeared from frozen Extract and Rearrange result sheets in reopened projects when the results table format was previously changed.
Corrected the parameter selection that was changed from ‘Wald’ to ‘Profile-Likelihood’ in the ‘Parameters: Multiple Linear/Logistic regression’ dialog in reopened .prism projects.
Fixed the issue in which drawings and graphs moved at different speeds while dragging them together on a multiple variables graph sheet.
Fixed the issue in which the floating note with the message “The Paired t test requires at least three sets of paired values” did not appear when the source data table did not contain enough data.
(Windows) Resolved the issue in which duplicated sheet titles did not update to reflect the new family name after performing ‘Duplicate Family’ command with renaming.
(Windows) Fixed the issue in which Prism did not accept scientific format for the ‘Value or Range’ text field in the ‘Color Mapping’ tab of ‘Format Graph’ dialog for heatmap graphs.
(Windows) Corrected dropdown menu malfunctions in One-Way ANOVA parameters dialog that occurred when selecting certain groups for comparisons, which resulted in incorrect group names and missing selections.
(Windows) Fixed the crash that occurred upon closing a project after visiting the PCA graph when newly added variables were checked in the re-opened Parameters: PCA dialog.
(Windows) Resolved the issue in which ‘Disk or memory error occurred’ alert appeared when attempting to change settings in ‘Parameters: t Tests’ dialog invoked for result sheets after cutting/clearing entire data in the source data table.
(Windows) Fixed the issue in which Categorical variables were present in the list of response variables in Cox Proportional Hazards Regression analysis dialog.
(Windows) Fixed the crash that occurred when changing Percents option to Fractions in ‘Change Graph Type’ dialog for Survival graphs when the linked result sheet was orphaned.
(Windows) Fixed the crash that occurred when invoking ‘Parameters: Extract and Rearrange’ dialog from result sheets when the source data table was previously deleted.
(Windows) Resolved the crash that occurred when publishing .prism projects with non-Latin characters in the name to Prism Cloud when the system locale was set to Japanese.
(Windows) Fixed the issue in which it was possible to apply values with more than 15 significant digits for outputting results in ‘Parameters: K-means clustering’ dialog.
(Windows) Corrected data import to Info Notes when the ‘Import starting at row’ option was specified in the Notes section of ‘Import and Paste Special Choices’ dialog.
(Windows) Fixed the issue in which pasting content from a floating note in one project to a new floating note in another project resulted in the content adopting default formatting instead of original styles.
(Windows) Fixed the issue in which the ‘Update Project’ dialog was shown instead of ‘Publish as New’ on an attempt to publish the project to the Prism Cloud as a new one using the corresponding command from the File main menu.
(Mac) Fixed the crash that occurred when deleting a graph sheet that was previously placed on a layout.
(Mac) Corrected the ‘Justification’ button that was incorrectly available in the ‘Text’ section on the toolbar when selecting a range of cells in a data table.
(Mac) Resolved the issue in which the color of text objects was white instead of black when Prism was launched after setting system preferences to ‘Dark’ mode.
(Mac) Fixed the issue in which Prism did not relaunch automatically into Viewer Mode after clicking the “Switch To Prism Viewer” button in the alert about an expired license.
(Mac) Corrected copied values from info tables to Info and floating notes that appeared as white text under Dark mode.
(Mac) Fixed the issue in which the ‘Create’ button in the ‘Create New Graph’ dialog for MV heatmaps was unexpectedly enabled when an inappropriate metric was selected for categorical variables.
(Mac) Fixed an issue in which switching to the gallery mode for graphs caused repeated “Calculating…” popups and thumbnail flickering, leading to application unresponsiveness, if the project contained linked CSV files.
(Mac) Fixed an issue where thumbnails in the data table and result sheet galleries displayed in light mode regardless of the selected Dark Mode appearance.
(Mac) Fixed the issue in which an alert with incorrect text appeared while attempting to perform K-means clustering if the source data did not contain continuous variables.
(Mac) Fixed the issue in which graph titles were absent from graphs if the ‘ForEach’ scripting command was used to duplicate families and import data.

Operating System:

Windows XP
Windows Vista
Windows 7
Windows 8, 8.1
Windows 10

Screenshots:

GraphPad Prism 10.6.1.892 with Keygen Full Version Free Download from the links given below: