The preferred analysis and graphing solution purpose-built for scientific enquiry. Join the world'southward leading scientists and discover how you can apply Prism to relieve time, make more advisable assay choices, and elegantly graph and present your scientific research.

Observe what's new

Comprehensive Assay and Powerful Statistics, Simplified

Organize Your Information Effectively

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

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Organize Your Data Effectively
Perform The Right Analysis

Perform The Right Analysis

Avoid statistical jargon. In articulate language, Prism presents an extensive library of analyses from common to highly specific— t tests, one-, two- and 3-mode ANOVA, linear and nonlinear regression, dose-response curves, binary logistic regression, survival assay, principal component analysis, and much more. Each assay has a checklist to help y'all sympathize the required statistical assumptions and ostend you have selected an appropriate examination.

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Get Actionable Assist As You Become

Reduce the complexity of statistics. Prism's online assist goes beyond your expectations. At almost every footstep, access thousands of pages from the Prism User Guides. Larn from video lessons, guides and educational materials through Prism University. Browse the Graph Portfolio and learn how to brand a broad range of graph types. Tutorial data sets also assistance y'all empathize why you lot should perform certain analyses and how to interpret your results.

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Get Actionable Help As You Go

Work Smarter, Non Harder

One-Click Regression Analysis

One-Click Regression Analysis

No other programme 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.

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Focus on Your Inquiry, Not Your Software

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

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Focus on Your Research, Not Your Software
Automate Your Work Without Programming

Automate Your Work Without Programming

Automatically add multiple pairwise comparisons to your analysis with a unmarried 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.

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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 like shooting fish in a barrel to create the graphs you want. Choose the blazon of graph, and customize any part—how the information is arranged, the style of your data points, labels, fonts, colors, and much more. The customization options are endless.

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Countless Ways to Customize Your Graphs
Explore Your Data

Explore Your Data

Focus your efforts on analyzing the most relevant data. Customize how y'all nowadays the relationships in the information to effectively explore large data sets.

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Consign Publication-Quality Graphs With 1 Click

Reduce fourth dimension to publish. Prism allows you to customize your exports (file type, resolution, transparency, dimensions, colour space RGB/CMYK) to meet the requirements of journals. Gear up your defaults to salvage time.

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Export Publication-Quality Graphs With One Click
Enhance Collaboration

Enhance Collaboration

Share more than than your graphs. Prism'south comprehensive record of your information enables effective collaboration with other scientists. All parts of your Prism project (raw data, analyses, results, graphs, and layouts) are contained in a unmarried file that yous tin share with ane click. At present others can easily follow your work at every step, enhancing the clarity of your findings and streamlining your collaborative efforts.

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Discover What'due south New in Prism!

Introducing an even more than powerful Prism featuring enhanced data visualization and graph customization, more intuitive navigation, and more sophisticated statistical analyses.

Enhanced Data Visualization and Graphs Customization

Bubble Plots

Create Bubble Plots directly from raw data, encoding variables for position (Ten- and Y-coordinates), color, and size

Violin plots

Visualize distributions of large data sets with either extended or truncated violin plots

Interpretation Plots

Automatically display your analysis results

Smoothing spline

Major improvements in showing full general information trends through Akima splines and smoothing splines with improved control over the number of knots, or inflection points

Improved Graphing and Customization Options

Stars on Graph

Automatically add multiple comparison results to graphs

Automatically label bar graphs

Annotate your bar graphs with values for the means, medians, or sample sizes to emphasize what'south of import in your work

Improved grouped graphs

Easily create graphs that show both individual points (scatter) along with bars for mean (or median) and error bars

More than Intuitive Navigation

Discover related sheets easily

New family console shows the family of sheets related to the current sheet, and bondage of analyses are automatically indented

Hands navigate betwixt multiple results tables

Analyses with multiple results tables now grouped into a single canvass with tabs for each result table; cull which tabs to show or hibernate

Improved Search

Search by sheets with highlights or notes of specified colour

Now Featuring Eight Kinds of Data Tables

Multiple variables information table

Each row represents a different bailiwick and each cavalcade is a different variable, allowing you lot to perform multiple linear regression (including Poisson regression), extract subsets of data into other table types, or select and transform subsets of the information. Prism's multiple variable tables support text variables and take the ability to define variable types

Nested data table

Analyze and visualize data that contains subsets within related groups; Perform nested t tests and nested one-way ANOVA using data within these tables

More Sophisticated Statistical Analyses

Perform repeated measures ANOVA – even with missing data

Now Prism volition automatically fit a mixed furnishings model to complete this analysis

Perform simple and multiple logistic regression

Fit a model to a binary upshot (yep/no, win/lose, laissez passer/fail) based on one predictor variable (elementary logistic regression) or many predictor variables (multiple logistic regression)

Principal Component Analysis

Calculate and select the principal components that describe the greatest amount of variance in your data. Choose from pick techniques including Parallel Analysis via Monte Carlo simulation, Eigenvalue threshold, Proportion of Variance threshold, and more than

Multiple t test (and nonparametric) analyses

Perform multiple independent 2-sample comparing tests simultaneously. Select from parametric/nonparametric tests, and specify if data are unpaired/paired

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

No coding required! Prism volition automatically encode chiselled variables and perform the assay. Specify a reference and organize all levels of categorical variables in a model for articulate, readable results

Interpolation from multiple linear and multiple logistic regression

Use the specified model to predict values for the dependent variable based on data in the information table or using theoretical values specified in the analysis

Detect the Latitude of Statistical Features Bachelor in Prism

Statistical Comparisons

  • Paired or unpaired t tests. Reports P values and conviction intervals.
  • Automatically generate volcano plot (difference vs. P value) from multiple t examination analysis.
  • Nonparametric Isle of mann-Whitney test, including confidence interval of difference of medians.
  • Kolmogorov-Smirnov test to compare two groups.
  • Wilcoxon test with confidence interval of median.
  • Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to cull which comparisons are discoveries to report further.
  • Ordinary or repeated measures ANOVA followed past the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for tendency, or Fisher'southward Least Meaning tests.
  • 1-way ANOVA without bold populations with equal standard deviations using Brownish-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3)
  • Many multiple comparisons exam are accompanied by confidence intervals and multiplicity adapted P values.
  • Greenhouse-Geisser correction and so repeated measures one-, two-, and iii-way ANOVA do not have to presume sphericity. When this is called, multiple comparing tests as well practise non assume sphericity.
  • Kruskal-Wallis or Friedman nonparametric one-mode ANOVA with Dunn'south post examination.
  • Fisher's exact exam or the chi-square test. Calculate the relative take chances and odds ratio with conviction intervals.
  • Two-way ANOVA, even with missing values with some postal service tests.
  • Two-way ANOVA, with repeated measures in one or both factors. Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher's LSD multiple comparisons testing main and simple effects.
  • Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the tertiary).
  • Analysis of repeated measures data (one-, ii-, and iii-way) using a mixed effects model (like to repeated measures ANOVA, but capable of handling missing data).
  • Comparison of data from nested information tables using nested t test or nested 1-way ANOVA (using mixed furnishings model).

Nonlinear Regression

  • Fit i of our 105 built-in equations, or enter your own. Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and and then disuse).
  • Enter differential or implicit equations.
  • Enter different equations for different data sets.
  • Global nonlinear regression – share parameters between data sets.
  • Robust nonlinear regression.
  • Automatic outlier identification or elimination.
  • Compare models using actress sum-of-squares F examination or AICc.
  • Compare parameters between data sets.
  • Apply constraints.
  • Differentially weight points by several methods and assess how well your weighting method worked.
  • Have automatic initial estimated values or enter your ain.
  • Automatically graph bend over specified range of X values.
  • Quantify precision of fits with SE or CI of parameters. Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate).
  • Quantify symmetry of imprecision with Hougaard's skewness.
  • Plot confidence or prediction bands.
  • Test normality of residuals.
  • Runs or replicates test of adequacy of model.
  • Report the covariance matrix or set of dependencies.
  • Easily interpolate points from the best fit curve.
  • Fit direct lines to ii information sets and make up one's mind the intersection point and both slopes.

Survival Assay

  • Kaplan-Meier survival analysis. Perform nonparametric survival assay for different groups, and compare the estimated survival curves for each group with the log-rank test (including examination for trend).
  • Cox proportional hazards regression. Perform semi-parametric survival analysis that allows for the inclusion of additional continuous or categorical predictor variables (covariates). Automatically generate graphs of estimated survival curves for any set up of predictor variable values.

Chief Component Analysis (PCA)

  • Component option via Parallel Analysis (Monte Carlo simulation), Kaiser benchmark (Eigenvalue threshold), Proportion of Variance threshold, and more.
  • Automatically generated Scree Plots, Loading Plots, Biplots, and more.
  • Utilise results in downstream applications similar Principal Component Regression.

Multiple Variable Graphing

  • Specify variables defining axis coordinates, color, and size.
  • Create Chimera Plots.

Column Statistics

  • Calculate descriptive statistics: min, max, 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 by 4 methods (new: Anderson-Darling).
  • Lognormality test and likelihood of sampling from normal (Gaussian) vs. lognormal distribution.
  • Create QQ Plot as part of normality testing.
  • One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.
  • Identify outliers using Grubbs or ROUT method.
  • Clarify a stack of P values, using Bonferroni multiple comparisons or the FDR arroyo to place "significant" findings or discoveries.

Simple Linear Regression and Correlation

  • Calculate slope and intercept with confidence intervals.
  • Strength the regression line through a specified signal.
  • Fit to replicate Y values or mean Y.
  • Exam for departure from linearity with a runs test.
  • Summate and graph residuals in iv different ways (including QQ plot).
  • Compare slopes and intercepts of ii or more than regression lines.
  • Interpolate new points forth the standard curve.
  • Pearson or Spearman (nonparametric) correlation.

Generalized Linear Models (GLMs)

  • Generate models relating multiple independent variables to a single dependent variable using the new multiple variables data table.
  • Multiple linear regression (when Y is continuous).
  • Poisson regression (when Y is counts; 0, 1, ii, …).
  • Logistic regression (when Y is binary; yes/no, pass/fail, etc.).

Clinical (Diagnostic) Lab Statistics

  • Banal-Altman plots.
  • Receiver operator characteristic (ROC) curves.
  • Deming regression (type ll linear regression).

Simulations

  • Simulate XY, Column or Contingency tables.
  • Repeat analyses of simulated information as a Monte-Carlo analysis.
  • Plot functions from equations yous select or enter and parameter values you choose.

Other Calculations

  • Expanse under the curve, with confidence interval.
  • Transform information.
  • Normalize.
  • Identify outliers.
  • Normality tests.
  • Transpose tables.
  • Subtract baseline (and combine columns).
  • Compute each value as a fraction of its row, column or grand total.

Prism is available on Mac and Windows.