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Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Contatti Intel software, Wolfram Mathematica, Origin, Statgraphics, EViews
Prism 9.1
Lingua: Ing S.O.: Win, Mac
Produttore: GraphPad
  ADALTA è Importatore Ufficiale e Rivenditore Autorizzato per l'Italia per i prodotti GraphPad
Sommario

» Introduzione (in italiano)
» Caratteristiche generali
» Nuove Caratteristiche versione 9.1
» Requisiti di Sistema

Analyze, graph and present your scientific work


 

Prism è un ottimo software per la biostatistica di base e la grafica scientifica.
Grazie alla semplicità di approccio, alla potenza di analisi e di grafica negli esperimenti ripetitivi, all'applicazione del test statistico più appropriato, alla capacità di interpretazione dei risultati, Prism è il software ideale per l'applicazione nelle scienze della vita.

Quello che rende Prism unico non è tanto quello che fa, ma come lo fa.
Creato per i ricercatori di laboratorio e clinici, Prism guida l'utilizzatore privo di conoscenze statistiche attraverso il processo di analisi, supportandolo con tutto l'aiuto che necessita; è possibile così concentrarsi sui dati e non sul funzionamento del software.

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Features


Comprehensive Analysis and Powerful Statistics, Simplified

 

Organize Your Data Effectively

Prism is specifically formatted for the analyses you want to run, including analysis of quantitative and categorical data. This makes it easier to enter data correctly, choose suitable analyses, and create stunning graphs.

 

Organize Your Data Effectively

Perform The Right Analysis

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

 

Perform The Right Analysis

Get Actionable Help As You Go

Reduce the complexity of statistics. Prism’s online help goes beyond your expectations. At almost every step, access thousands of pages from the online Prism Guides. Browse the Graph Portfolio and learn how to make a wide range of graph types. Tutorial data sets also help you understand why you should perform certain analyses and how to interpret your results.

 

Get Actionable Help As You Go

 


Work Smarter, Not Harder

 

One-Click Regression Analysis

No other program simplifies curve fitting like Prism. Select an equation and Prism does the rest—fits the curve, displays a table of results and function parameters, draws the curve on the graph, and interpolates unknown values.

 

One-Click Regression Analysis

Focus on Your Research, Not Your Software

Prism handles the coding for you. Graphs and results are automatically updated in real time. Any changes to the data and analyses— direct entry of data, omitting erroneous data, correcting typos, or changing analysis choices—are reflected in results, graphs, and layouts instantaneously.

 

Focus on Your Research, Not Your Software

Automate Your Work Without Programming

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

 

Automate Your Work Without Programming


The Fastest Way to Elegantly Graph and Share Your Work

 

Countless Ways to Customize Your Graphs

Focus on the story in your data, not manipulating your software. Prism makes it easy to create the graphs you want. Choose the type of graph, and customize any part—how the data is arranged, the style of your data points, labels, fonts, colors, and much more. The customization options are endless.

 

Countless Ways to Customize Your Graphs

Explore Your Data

Focus your efforts on analyzing the most relevant data. Customize how you present the relationships in the data to effectively explore large data sets.

 

Explore Your Data

Export Publication-Quality Graphs With One Click

Reduce time to publish. Prism allows you to customize your exports (file type, resolution, transparency, dimensions, color space RGB/CMYK) to meet the requirements of journals. Set your defaults to save time.

 

Export Publication-Quality Graphs With One Click

Enhance Collaboration

Share more than your graphs. Prism’s comprehensive record of your data enables effective collaboration with other scientists. All parts of your Prism project (raw data, analyses, results, graphs, and layouts) are contained in a single file that you can share with one click. Now others can easily follow your work at every step, enhancing the clarity of your findings and streamlining your collaborative efforts.

 

Enhance Collaboration

 

What's New

 

Prism 9.1.0 Release Notes

Prism 9.1.0 was released on March 17, 2021. Browse prior versions

 

Quick Links

  Welcome to Prism Academy    Analyze Menu    Improvements to PCA    Complete Release Notes


Introducing Prism Academy!

Prism Academy is GraphPad's online statistics and data visualization learning center. It contains over 125 videos and hours of learning material taught by highly-technical experts and includes free access to Intuitive Biostatistics, the leading biostatistics resource for working scientists.

 

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Explore all of the analyses Prism has to offer

Prism 9.1.0 introduces the all new Analyze menu. Prism's analysis library has been organized into six primary categories allowing you to more easily find the analysis that you need. These analysis categories are:

  • Data Processing
  • Data Exploration and Summary
  • Regression and Curves
  • Group Comparison
  • Survival Analysis
  • Simulation

Additionally, this menu includes a list of the seven most recently used analyses for quick access to tests that you perform regularly. Using this menu, you can also quickly access the full Analyze Data dialog (which also allows for specific data sets to be included/excluded from the analysis).

Finally, for Mac users this list is fully searchable! Simply open the Help menu and start typing the name of an analysis and all of the matching analyses will be displayed for you!

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More PCA Improvements

The primary objective of Principal Component Analysis (PCA) is dimensionality reduction, so it shouldn't be too surprising that the results of PCA include fewer selected principal components than the number of variables that went into the analysis. However, what may have been somewhat surprising was the graphs that Prism generated when only a single PC was selected during the analysis. When this happened, Prism wasn't able to generate any sensible results on the Loadings Plot, Score Plot, or Biplot graph sheets.

Scores plot from earlier versions of Prism

But don't worry: nothing went wrong with the analysis. In fact, if you used one of the automatic methods for PC selection (such as Parallel Analysis), results indicating that only a single PC was selected may be extremely informative! In Prism 9.1.0, we updated the graphical output in these scenarios to accurately reflect these results.

Scores plot from Prism 9.1.0

The same PC is used on both the X and Y axis, so the data will lie along a straight diagonal line. However, the same information is available (are there any visible grouping patterns on the scores plot, what relationships are there in the original variables displayed on the loadings plot, etc.).

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Complete release notes for Prism 9.1.0

New Features

  • Prism Academy integration with three methods of access
    • Welcome dialog menu panel button
    • Toolbar Help section button
    • Help menu item
  • New Analyze main menu (searchable on macOS using the system search function)
  • Principal Component Analysis graphs with a single selected principal component (same component on both axes)
  • Incorporated the "Do not show this message again" checkbox to numerous alerts throughout the software
    • Added an option in the Prism preferences (View tab) to re-enable all suppressed alerts

Feature Improvements

  • Prism now automatically plots the upper and lower 95% limits of agreement when graphing Bland-Altman analysis results
  • Added the checkbox "Do not show in legend" for the "Other values" option in the "Format Graph" dialog for heat maps allowing the "Other values" section of the graph legend to be turned on or off
  • Made it possible to delete all sheets from the Navigator using the "Delete" key
  • Added a button to the About Prism dialog allowing the version, serial number, and machineID to be copied
  • Renamed the checkbox title in Prism's preferences from "Show graph hints about missing error bar, etc" to "Show graph warnings (gray notes)"
  • Improved the behavior of the "Analyze" toolbar button when multiple sheets are selected (in the Gallery or in the Navigator)
  • (Win) Improved the auto-recovery feature so that Prism does not crash on opening corrupted files where data set references in tables were broken

Analysis Bugs Fixed

  • Fixed the feature to change the direction of the differences on "Volcano plot" results via the "Report differences as" option in the "Options" tab of the "Parameters: Multiple t test" dialog
  • Fixed the issue in which Prism would crash when attempting to perform an analysis using a user-defined equation that included several IF functions for a single variable
  • Fixed the mismatch of the Y-intercept parameter between the results table and the Hook Constants dialog for the Deming (Model II) linear regression analysis
  • Fixed the issue in which the "Paired Multiple t test" results were unexpectedly altered after adding or removing data sets with values that were all excluded
  • Fixed the issue in which the "Select and transform" results appeared empty after performing an analysis if the source data table contained several hundreds of data sets
  • Fixed the issue in which Multiple logistic and Poisson regression reported incorrect VIF results if the model did not include an intercept term
  • Fixed the issue in which the alert "Multiple t tests (and nonparametric) requires two data sets (groups). To compare just two, select those two from the groups in the Analyze Data dialog." did not appear
  • Fixed the issue in which Prism would crash when attempting to perform Multiple linear regression with thousands of interactions without an intercept term
  • Fixed the issue in which newly added variables did not appear in the "Select and transform" results sheet if different variables were previously deleted in the source data table
  • Fixed the issue in which the X column was unexpectedly empty in "Transform" results sheets if the source data table contained X values as a series and the last data set contained only a column title without data
  • Fixed the issue in which Prism would freeze when attempting to perform the "Chi-square" analysis with the "Odds ratio" effect size using the Baptista-Pike method
  • (Win) Fixed the issue in which no alert appeared when attempting to open the "Parameters: Multiple t tests" dialog while three or more data sets were selected in the "Create New Analysis" dialog
  • (Mac) Fixed the issue in which Prism would occasionally crash when performing the "Multiple t test" analysis for the same data table with different data sets
  • (Mac) Fixed the issue in which the wrong options were present in the "Replicates" section of the parameters dialog for Nonlinear regression analysis performed on a data table with a single Y column

Graphing Bugs Fixed

  • Fixed the issue in which comparison lines did not appear on Violin graphs if violins were clipped and the source data table contained replicate values
  • Fixed the issue in which comparison lines did not appear on a graph if any error bar was clipped
  • Fixed the alignment of additional and default ticks on the X axis
  • (Win) Fixed the issue in which axis titles did not move after changing their distances from the respective axis using the options in the "Format Axes" dialog
  • (Win) Fixed the issue in which transparency was not applied to graphs (except for bubble plots) after applying semi-transparent color schemes
  • (Win) Fixed the issue in which it was impossible to select the Size legend of a bubble plot if the "One size for entire graph" radio button was previously selected in the "Format Graph" dialog and the "Undo" operation was performed
  • (Win) Fixed the issue with the corruption of "Scientific" and "Power of 10" formats chosen for numbers/labels for the "Fill Color" legend on a graph
  • (Win) Fixed the issue in which unexpected points on a graph would appear after a logarithmic transform was performed on an X column containing negative or zero value(s)
  • (Win) Fixed the issue in which minor ticks did not appear on an axis of a multiple variables graph after resizing the axis by stretching
  • (Win) Fixed the issue in which axis titles unexpectedly appeared on the graph's plotting area after setting the origin to the right or upper sides
  • (Mac) [macOS 11 Big Sur] Fixed the issue in which the Style dropdown was corrupted while horizontal lines were selected for error bars in the "Format Graph" dialog of XY and Survival graphs
  • (Mac) Fixed the issue in which all values appeared with a single color (black) when applying a categorical variable to the "Fill Color" plot from the Format Graph dialog of a Bubble Plot
  • (Mac) Fixed the "Magic" feature that did not apply the "Legend" option for graphs other than multiple variables graphs
  • (Mac) Fixed the issue in which the positions of legends were not saved in a Prism file after moving them using the keyboard
  • (Mac) Fixed the issue in which is was impossible to apply quartiles pattern in the Format Graph dialog for a violin graph on Mac devices with an Apple M1 chip

Other Bug Fixes

  • (Win) Fixed the issue in which Prism would crash upon deleting all but one graph or layout from the gallery view
  • (Win) Fixed the issue in which it was impossible to copy to Prism fractional data starting with a comma (used as a thousands separator)
  • (Mac) Fixed the issue in which Prism would crash upon applying a negative value for an additional tick after changing axis Gaps and Direction settings
  • (Mac) Fixed the issue in which an incorrect value was displayed in the "Variable" drop down menu for connecting lines in the "Format Graph" dialog for Bubble plots after the variable was deleted/excluded/changed in the source data table
  • (Mac) Fixed the issue in which Prism would crash upon unfreezing a bubble plot graph sheet after an attempt to flip the page via the toolbar button if the project had previously been saved and re-opened
  • (Mac) Fixed the issue in which a graph was being linked to a newly created data table after deleting the original source multiple variables data table and creating a new one instead
  • (Mac) Fixed the issue in which Prism would crash after clicking on the Cancel button in the "Change Graph Type" dialog invoked for an empty PCA graph
  • (Mac) Fixed the issue in which asterisks were lost upon pasting data copied from multiple cells containing values starting/ending with an asterisk in the multiple variables data table
  • (Mac) Fixed the issue in which Prism would crash when a file contained chained analyses including Nonlinear regression
  • (Mac) Fixed the issue in which no alert would appear when attempting to delete the example graph from the "Magic Step 1" dialog
  • (Mac) Fixed the issue in which some of the analysis buttons were unexpectedly available on the toolbar for multiple selected sheets
  • (Mac) Fixed the issue in which Prism would crash upon switching to the residual graph created from a Multiple linear regression analysis if an additional row of data was previously added in the source data table with 1024 data sets
  • (Mac) Changed the wording to "How to decide when an effect is convincing enough to investigate further" in the "Multiple Comparisons" tab of the "Parameters: Multiple t tests" dialog
  • (Mac) Fixed the issue in which Prism would crash when performing the redo command to merge a project that includes a multiple variables graph
  • (Mac) Improved the wording of the alert that appeared on an attempt to perform the Multiple t tests analysis with three or more data sets
  • (Mac) [macOS 11 Big Sur] Fixed the issue with the truncated hint in the "Experimental Design" tab of the "Multiple t tests" analysis parameters dialog
  • (Mac) Fixed the issue in which Prism would crash upon switching to the Multiple linear or logistic regression analysis results when the analysis was performed without an intercept term or main effects after removing or excluding entire variable values from the source data table

Prism 9.0 Release Notes

Quick Links

  Principal Component Analysis (PCA)    Bubble Plots    Automatic "Stars on Graph"    Estimation Plots    Complete Release Notes  



Data on a higher dimension!

Prism 9 introduces a number of great improvements to the Multiple Variables data table. Explore larger data sets using a standard structure, and perform new and improved analyses with the following improvements:

  • Increased data limits - enter up to 1024 columns of data in each data table
  • Automatic identification of variable types - Identify variables in the Multiple variables data table as continuous, categorical, or label values
  • Text information in the data table - Enter data directly as text. Instead of coding a variable like "0" and "1", simply enter "Male" and "Female" directly in the data table
  • Automatic variable encoding - Enter your data and let Prism take care of the rest. Prism will automatically encode categorical text variables into numeric "dummy" variables

Often times in research we find ourselves with an abundance of information on different variables from our experiments. As a simple example, imagine measuring the blood pressure of individuals after giving them either an experimental drug intended to reduce blood pressure or a placebo. It's likely that in addition to the recorded blood pressure measurements, you also recorded a wealth of information on each subject's age, height, weight, gender, race, and any number of other potential variables.

Numerous statistical techniques are designed to analyze this sort of "multiple variables" data, such as multiple linear regression and multiple logistic regression. Using these sorts of "multiple variables" analyses means you can explore the outcome of interest without wasting any potentially useful information. In order to facilitate this increased density of data information, Prism offers our Multiple variables data table to house data in a standard data structure that is used almost universally by other statistics software and packages out there (such as R, SPSS, and MATLAB). In this format, each column represents a different variable, while each row represents a different subject (measurements of each variable for each subject get placed into their appropriate column on that subject's row).


Note: the figure above shows PCA on two dimensions as a visual example. PCA in Prism can be performed on HUNDREDS of variables!

Principal Component Analysis (PCA)

Sometimes, the amount of variables collected far outweighs the number of subjects that were available to study. Consider gene expression studies in which expression levels of hundreds or thousands of different genes were measured from subjects divided into two groups: a treatment group and a control group. There may simply be too many variables to fit a model to the data. But selecting some variables to exclude from the analysis is simply throwing information away that could be useful! PCA is a technique of "dimensionality reduction" that can be used to reduce the number of required variables while eliminating as little information from the data as possible.

Additional features available within PCA include:

  • Component selection via Parallel Analysis (as well as the Kaiser method, threshold of total variance method, and others)
  • Generation of Scree Plots, Score Plots, and Biplots
  • Automatic preparation of PCA results for further use in multiple linear regression (Principal Component Regression)

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Adding new dimensions to your graphs

Create Bubble Plots directly from raw data, encoding variables for symbol position (X- and Y-coordinates), size, and fill color. Note that both symbol color and symbol size can be defined using a categorical (grouping) OR a continuous variable.

On this graph, over 100 countries are shown as individual circles. The X-coordinate of each circle represents that country's GDP (PPP), while the Y-coordinate represents the average life expectancy at birth. The size of each symbol is proportionate to the population of the country it represents (with the two largest symbols representing China and India, respectively). Finally, the color of each symbol represents the continent in which the country is located. This final variable (color) in this case is a categorical variable, but color in Bubble Plots can also be defined by continuous variables:

In this graph, the X-coordinate, Y-coordinate, and size of the symbols is the same as before. However, now the color of the symbol represents that country's birth rate per 1000 individuals on a continuous scale. Prism also now has semi-transparent color schemes built in so that overlapping symbols can be more clearly seen.

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Automatically add multiple comparison results to graphs!

Because you asked for it. Need we say more?

Simply perform an appropriate analysis with multiple pairwise comparisons. Then click once to automatically add these results to the graph. To customize these lines and asterisks, simply click the toolbar button again. Make adjustments to the data or the analysis, and the results displayed on the graph will update automatically. But remember, P values are only a part of the story. Don't forget to report effect estimates (for example, mean differences with 95% confidence intervals!) as well.

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P values added to demonstrate relationship between 95% CI of difference of means and P value. If the 95% CI includes zero, the P value will be less than 0.05. Looking at the 95% CI is more informative than P values alone.

Better Visualization of T Test Results with Estimation Plots

Perform a t test, and Prism will now automatically create an Estimation Plot of the results. On this graph, the raw data from both groups will be plotted on the left Y-axis. On the right Y-axis, the difference of the group means will be plotted along with its 95% confidence interval. This visualization provides more information than a P value alone, as it shows how wide the 95% CI is in addition to showing if the 95% CI includes zero (if the 95% CI includes zero, the P value will be greater than 0.05; if the 95% CI does NOT include zero, the P value will be less than 0.05).

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Complete release notes for Prism 9.0.0

New Features

  • Principal Component Analysis (PCA), a method used to project data in higher dimensional space into a lower dimensional space by maximizing the variance of each new dimension. PCA is mostly used as a tool in exploratory data analysis and for making predictive models. It is often used to visualize genetic distance and relatedness between populations.
  • New graph types generated by PCA
    • Scree plots. Scree plots are used to visualize raw eigenvalues for each principal component (PC) identified in principal component analysis (PCA).
    • Score plots. Score plots provide a means of viewing the original data in the new (reduced) dimensional space of two indicated PCs (typically PC1 as the horizontal axis and PC2 as the vertical axis).
    • Loading plots. Loading plots provide a means to visualize the coefficients for two selected principal components.
    • Biplots. Biplots are combinations of score plots and loading plots.
    • Proportion of variance plots. This graph is similar to the Scree Plot described above, but is used with a slightly different interpretation style.
  • Multiple variables graphs to graph data from the Multiple variables data table
    • Make a Bubble Plot, where symbol size is encoded by a numerical or categorical variable. 
    • Encode symbol color and the appearance of connecting lines with other variables. 
    • All these choices are made on a brand new Format Graph dialog with an improved appearance. 
  • New semi-transparent color schemes for bubble plots.
  • Estimation Plots which are a visual way to present the results of two-sample comparison tests such as the t test. The purpose of this graph which contains raw data as well as a summary of the analysis result is to emphasize the importance of effect sizes and confidence intervals while simultaneously de-emphasizing the concept of “significance”. 
  • Pairwise comparisons on graphs which is an automatic generation of visualizations that combine user data with results of pairwise comparisons made during hypothesis tests (i.e. automatically adding significance stars to graphs).

Feature Improvements

  • Nonlinear regression
    • Dramatically improved performance and accuracy of evaluating user-defined equations
    • Define X0 for differential equations like any other parameter
    • Create five residual graphs (including the new Actual vs Predicted graph). Previously, only one graph per analysis could be generated
    • Re-arranged and re-labeled the options for "Unstable parameter and ambiguous fits" section on the Confidence tab of the NLR parameters dialog
  • Multiple linear/logistic regression analyses
    • Choose models with categorical independent variables with automatic reference level specification
    • Specify method for "automatic" reference level specification based on data (first or last level, most or least frequent level)
    • Specify the order of categorical variable level results via the "Define categories order" options from the Reference level tab of the MLR parameters dialog
    • Improved model control (tree view) for better presentation of categorical variables and interactions
    • Simplified model representation in the dialog
    • Interpolate values for the outcome (dependent) variable using data in the data table or specified values for each predictor in the parameters dialog (multiple linear regression only)
    • Improved Correlation matrix output so a heatmap of the results can be generated
  • Multiple two sample tests analysis (Multiple t test analysis) now includes options for:
    • Multiple unpaired t-tests with Welch correction
    • Multiple paired t-tests
    • Multiple ratio-paired t-tests
    • Multiple nonparametric unpaired Mann-Whitney tests
    • Multiple nonparametric paired Wilcoxon tests
    • Multiple nonparametric unpaired Kolmogorov-Smirnov tests
  • Row statistics analysis
    • Allows for calculation of mean with custom confidence interval level
    • Allows for calculation of medians with "no errors", "quartiles", "min / max", "percentiles"
    • Allows for calculation of geometric means with "no errors", "geometric SD", “CI”
  • Two-way ANOVA: main effects only model
    • Allow for main effects only model (no interaction term) in two-way ANOVA for data with replicates
    • Allow missing factors levels combination in two-way ANOVA for main effects only model
    • "Simple effects" multiple comparisons not allowed for unreplicated two-way ANOVA
  • Made the default title of standard transform with linked parameter be generated using analysis constant name instead of a value.
  • Changed the default to the choice for unstable in 'Confidence' tab of 'Parameters: Nonlinear Regression' dialog. 
  • Updated the behavior of analyses that can be performed on multivariable tables to properly handle different variable types
  • When creating a correlation matrix, choose to ignore rows where any value is missing or excluded. With this option selected, all correlation coefficients in the matrix computed from the same set of rows
  • Allowed 'Select and Transform' analysis to define types for variables in green multiple variables results table
  • (Mac) Added the alert "You are trying to analyze a single column. If you wish to perform a one-sample t test, use the One sample t and Wilcoxon test analysis. A t test requires two groups (both in Y columns; the X column is ignored)"

Non-math feature improvements

  • New data limits
    • Lifted data table limits of 1024 data sets [letters A...AMJ] and 512 sub-columns.
    • Lifted graph limits to be able to plot 1024 data sets.
  • Multiple variable data tables
    • Enabled the support of text variables in Prism's multiple variables data tables.
    • Implemented the ability to define variable types in Prism's multiple variables data tables
  • Special symbols and Unicode
    • Added the “Character>Unicode Symbols...” command in the Insert main menu, which will open the standard system "Character Map" dialog and allow entering a bigger variety of special symbols.
    • (Windows) Upgraded Prism's "Insert Character Dialog" and replace the legacy approach of using Symbols font for Greeks/Maths/European characters with Unicode compatible characters, thus, allow seamless compatibility across platforms and 3rd party apps.
  • Added the Export command to the contextual menu opened in the Navigator when right-clicking on any sheet type, including graphs and layouts.
  • Made Prism also delete graphs if you delete parent analysis which generated those graphs, but doesn't delete graphs when an analysis adds a curve to an existing graph of data.
  • Changed the command “Choose Color Scheme…” in the main Change menu to “Color Scheme>” and made it open the submenu showing the same content except for Background, Plotting area, Axes for 'Bubble Plot' graphs.
  • Added the new section with semi-transparent color schemes to 'Change -> Color Scheme' and 'Change colors' toolbar's dropdown menus.
  • Formatting of graphs or data points on graphs from a data table and results
    • (Windows) Made it possible to apply Bar, Error Bar and Line options using the Format Points contextual menu from a data table to the scatter with bars grouped graphs.
    • (Windows) Made it possible to apply Error Bar and Line options using the Format Points contextual menu from a data table to scatter grouped graphs. 
    • (Windows) Made it possible to apply Line and Quartile formatting using the Format Points contextual menu from a data table to Violin graphs. 
    • (Windows) Made it possible to apply Error Bar and Line options using the Format Points contextual menu from a data sheet for superimposed Scatter graphs. 
    • (Windows) Made it possible to format data points on a graph from the green results tables. Case 1056514. 
    • (Windows) Enabled the formatting of selected symbols on a violin graph from the Format Points contextual menus on a data table. 
    • (Windows) Enabled the formatting contextual menu for a violin in the "Violin plot only" graph with reverse direction
    • (Mac) Enabled the Line section in the Format Points contextual menus to be able to format data points on graphs with means and medians from the data table 
  • Updated URLs in floating notes of sample data files from the Welcome dialog to point to the Prism 9 User guide (instead of an earlier version of the guides)
  • (Windows) Prism can now import "True" or "False" boolean values from excel as "1" and "0" into Prism's multiple variables data tables
  • (Windows) Made Prism show all sheets from the family in the 'Delete Sheet(s)' dialog opened in the family navigator panel
  • (Windows) Updated system requirements to Windows 7. Added the alert about urging to update Windows when Prism starts on Vista
  • (Mac) Removed the "Y" label on top of each individual column in Column/Grouped/Contingency/Multiple Variable/Parts of Whole data tables
  • (Mac) Made Prism remember the size of the last used window, and use that as the default size for new windows
  • (Mac) Enabled the 'Reverse Category Order' command in the 'Change' and context menus for Parts of Whole graphs
  • (Mac) Renamed the 'Reverse Data Set Order' command to 'Reverse Category Order' in the 'Change' and context menus for Parts of Whole graphs

Performance Improvements

  • Improved the performance of the 'Correlation matrix' analysis more than 20x
  • (Windows) Improved the performance of the Fit spline/LOWESS analysis with residual calculations by ~10x
  • (Windows) Improved the performance of the 'Simple logistic regression' analysis more than 1.5x
  • (Windows) Improved the performance of the 'Transform' analysis by ~4x
  • (Windows) Improved the performance of the 'Prune rows' analysis by ~3x
  • (Windows) Improved the performance of simulating XY data with a large number of values and several replicates more than 10x
  • (Windows) Improved the performance of switching to a Grouped graph sheet when the source data contains a large number of rows more than 3x
  • (Windows) Improved the performance of the 'Normalize' analysis slightly
  • (Windows) Improved the performance of the 'Monte-Carlo' analysis when the source data table contains data linked from other analyses by several times
  • (Mac) Improved the performance of the 'Transform' analysis by ~2.5x
  • (Mac) Improved the performance of the 'Prune rows' analysis more than 10x
  • (Mac) Improved the performance of switching to a Grouped graph sheet when the source data contains a large number of rows more than 2x
  • (Mac) Improved the performance of the 'Normalize' analysis more than 5x

Infrastructure

  • (Windows) Prism 9 is only available for 64-bit Windows. There is no 32-bit version of Prism for Windows
  • (Mac) Prism 9 requires macOS 10.12 (Sierra) or newer

Analysis bugs fixed

  • Fixed crash on performing Extract and rearrange analysis with t-test mode for large data.
  • Fixed crash on attempt to perform custom equation analysis with particular inappropriate syntax.
  • Fixed the issue where the wrong column letters were displayed in the "Data sets analyzed" row of the one-way ANOVA results sheet if not all datasets were analyzed
  • (Windows) Fixed the issue in which a blank results sheet was displayed for the "Plot a function" analysis after unchecking the "Plot the first derivative" option

Graphing bugs fixed

  • Fixed the issue when a pattern fill applied to all data sets appeared missing from some bars on a bar graph
  • Fixed the issue when color settings were not applied to the graph if ‘All’ item was selected in the ‘Data Sets’ section of the ‘Define Color Scheme’ dialog
  • Fixed the issue when some data points were outside the axis limits on the Grouped scatter plot graph if the source data table contained a large number of rows.
  • Fixed the issue when the ‘Median’ was unexpectedly changed to ‘Mean’ in the ‘Style’ section of the ‘Format Graph’ dialog after selecting the ‘Scatter dot plot’ or the ‘Aligned dot plot’ appearance.
  • Fixed the issue when the excluded property of X values appeared lost after cloning graph and changing data table format to show error values.
  • Fixed the issue when it was impossible to format data points on XY graphs using the Format Points contextual menu on a data table after executing the "Apply Data Set Format" contextual command. 
  • (Windows) Fixed the issue that when you try to format a single violin on a graph, it unexpectedly changes all violins of the entire data set. 
  • (Windows) Fixed the issue when row titles were corrupted on a grouped graph after adding new data and clicking on the X axis if bars could not be displayed. 
  • (Windows) Fixed the issue when a graph disappeared from the sheet after performing the 'Group' command for two drawing brackets with asterisks. 
  • (Windows) Fixed the issue when shading between custom axis lines was lost after another shading was added to the graph
  • (Windows) Fixed the issue in which points on the resulting graph did not retain the color formatting when the graph family had been duplicated
  • (Mac) Fixed the issue in which bars on an interleaved graph overlapped if the value fo the second bar was set to zero

Other bug fixes

  • Fixed the issue when 'Set as Default' option in the 'Format Object' dialog did not work for text objects.
  • Fixed the issue when 'Plot' drop-down and 'Show truncated violin plot' checkbox were unexpectedly shown in the Change Graph Type dialog for grouped or nested violins if one data set has been plotted with showing points.
  • Use Šídák instead of Sidak in Parameters analysis dialogs and results.
  • (Windows) Fixed that crash that occurred after invoking Format Axes for graph after canceling Magic Step 2. 
  • (Windows) Fixed the crash when changing the graph's appearance in the Format Graph dialog globally for odd data sets. 
  • (Windows) Fixed the crash on attempt to rename multiple sheets in the gallery view of a Navigator's Family Pane which were deleted and restored using for analyses with residual graphs
  • (Windows) Fixed the crash on changing Scatter to Violin plot graph if several data sets in a data table were replaced by a single data set beforehand. 
  • Fixed the crash on making a number of subcolumns huge (over 178 for Prism 8, over 238 for Prism 9) for a data set containing a huge number of values in a data table (~500000).
  • (Windows) Fixed the issue when all subcolumns became filled with values on making the number of subcolumns large if any data set contained a huge number of values. 
  • (Windows) Fixed the issue when the unexpected alert appeared on changing replicates number for data table with a huge number of subcolumns and rows.
  • (Windows) Fixed the issue when warning did not appear on inserting data that exceeded the maximum number of supported columns. 
  • Fixed the issue when values were not added and unexpected alert appeared on an attempt to add a huge number of values into the data table with a lot of subcolumns. 
  • (Windows) Fixed the issue when only the first row of the multi-line row title appeared visible after deleting another row in the data table. 
  • (Windows) Fixed the issue when it was impossible to format data points from results table. 
  • (Windows) Fixed the issue when controls were not aligned in the upper left of the Welcome dialog when stretched it. 
  • (Windows) Fixed the issue when unexpected characters were shown next to the data-set title containing numbers in the 'Hint' section of the 'Replace Data Set' dialog. 
  • (Windows) Fixed the issue when the 'Reverse Legends Order' command was unexpectedly available when there were one or no legends on a graph. 
  • (Windows) Fixed the issue when the error bars section in Format Points contextual menu on a data table was not dimmed when there were no error bars on a graph. 
  • (Windows) Fixed the issue when a part of the data table was not visible after navigating to the bottom of a data set via then End key with a huge number of values.
  • (Windows) Fixed the issue in which Prism would crash after selecting undo for actions done in Info Notes and Info Table
  • (Mac) Fixed the issue in which Prism would freeze on an attempt to switch to a simulated XY data sheet with 256 data sets and 256 replicates
  • (Mac) Fixed the issue in which it was impossible to create or open a PRism file with a large amount of data (256 data sets, 256 replicates, 500 rows)
  • (Mac) Fixed the broken "Also draw lines" drop-down for line thinkcness in the "Gaps" tab of the "Format Graph" dialog for heatmaps
  • (Mac) Fixed the issue in which the yellow color was missing from the "Highlight selected cell" icon on the toolbar

 

 

System Requirements

Prism's requirement are not special, and it will run fine on any computer purchased in the last few years. Here are the details:

Windows

  • Operating System. Runs under the 64-bit versions of Windows 7, 8 or 10. Prism 9 does not support 32-bit editions of Windows.
  • RAM. For comfortable performance and responsiveness, Prism requires the following amount of RAM:
    • 2 GB RAM for up to 2 million data cells in currently open Prism files
    • 4 GB RAM for 2-8 million data cells
    • 8 GB RAM for 8-16 million data cells
    • 16 GB RAM for greater than 16 million cells
  • Display. The minimum display resolution is 800 x 600, but the recommended display resolution for comfortable work is 1280 x 1024.
  • HDD. Requires about 100 MB (megabytes) of space on the hard drive.
  • Internet. Prism must connect to the internet to verify the license when it is first activated. It will also attempt to connect upon every launch, and every 24 hours if the application is not closed. To continue operating, this connection must be successful once every 30 days (or 20 attempts, whichever comes sooner).

Mac

  • Operating System. Runs under macOS X 10.12 (Sierra) or later. If you use macOS 10.11, Prism will launch and seems to run OK, but we haven’t tested Prism thoroughly under this version of macOS and can’t provide much support. If you use 10.11, we urge you to update macOS.
    • The most recent versions of Prism 9 have been updated to be compatible with macOS X 10.15 (Catalina). If using macOS X 10.15, be sure to update Prism to the most recent version.
    • Prism under Rosetta and Mac M1 chip
  • Display. Requires a display with a resolution of at least 1024 x 768 pixels.
  • HDD. Requires about  130 MB (megabytes) of space on the hard drive.
  • Internet. Prism must connect to the internet to verify the license when it is first activated. It will also attempt to connect upon every launch, and every 24 hours if the application is not closed. To continue operating, this connection must be successful once every 30 days (or 20 attempts, whichever comes sooner).

 

Acquista: Prism

 
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