• Home
  • Software
  • Industries
  • Application Areas
  • Academic
  • Training
  • Support
  • User Community
Free Trial Buy JMP International About Us Contact News and Events Blog Resource Center
  • JMP FAQs
  • System Requirements
  • Alphabetical List of Features
    • ABCDE
    • FGHIJ
    • KLMNO
    • PQRST
    • UVWXYZ
    • JMP Help Features
    • Summary of Graphic Output
    • User Interface, Other Improvements, Internal Optimizations
    • Formula Editor, Random Number Functions, OLE Automation
    • JMP Data Table Features, JMP Tools, Graphics Tools, All Purpose Tools, Need An Answer
  • Downloads
  • Knowledge Base
  • Books and JMP
  • Report a Problem
  • JMP Administrators
  • Find Your Serial Number or Site ID
  • Why Register JMP?
  • Register JMP

*On SAS Download site

Alphabetical List of Features

Summary of Graphic Output

  • AR coefficients graph—histogram of AR coefficients, a diagnostic for time series modeling
  • Autocorrelation plot—histogram of autocorrelations of lags, a diagnostic for ARIMA time series modeling
  • Axis customization—tick mark, grid, X and Y formats, and X and Y reference lines
  • Bar charts—show means and can have standard error bars
  • Bar graphs
  • Bayes plot for screening designs and multiple regression
  • Bias report graphs in Variability Chart
  • Biplot
  • Box-Cox transformation plot
  • Box plot (outlier)
  • Box plot (quantile)
  • Canonical plot
  • Cause-and-Effect diagram
  • Cell Plot
  • Centroid plot
  • Cluster coloring (automatically for K-means clustering)
  • Cluster distance plot (Hierarchical clustering)
  • Color (palette of 65 colors)
  • Color Map
  • Comparison circles
  • Contour plots (general)
  • Contour plots for mixture models
  • Contour plots—to display equal probability areas from 2-dimensional density estimation
  • Contour Profile plots—overlayed contours for acceptable design regions for multiple response experimental designs
  • Control charts (moving average—UWMA, EWMA)
  • Control charts (2-sided cumulative sum (Cusum) charts)
  • Control charts (Shewhart—Mean, Range, S, Individual)
  • Control charts (Shewhart for attribute data—(p, np, c, u))
  • Correlation plots (histograms of pairwise correlations)
  • Correlation plots (scatterplot matrix with density ellipses for each pair of variables)
  • Correspondence analysis plot
  • Cumulative Distribution Function (CDF) plot
  • Cumulative logistic probability plot
  • Cube plots for screening designs
  • Curve fitting
  • Customized graphs with titles, footnotes and annotate tool
  • Dendrogram for hierarchical clustering color coded by cluster
  • Dendrogram
  • Density ellipses for picturing correlations
  • Desirability profiler plot for multiple responses
  • Diagram charts and plots
  • Fishbone chart (Diagram platform)
  • Fitting distributions—distribution and normal quantile plots for continuous one-way data
  • Heat Map (Cell Plot)
  • Histogram
  • Histogram of pairwise correlations
  • Histogram borders—option in any Fit Y by X bivariate plot
  • Interaction plot—scatter matrix plot of all two-factor interactions
  • Ishikawa diagram (Diagram platform)
  • Jackknife distance plot
  • Layout—a facility for graphics editing (see Graph customization)
  • Leverage plots for multiple regression
  • Levey-Jennings chart type in control charts
  • Line plots
  • Line tools—tools for drawing lines, ovals, rectangles, and polygons on reports, in journals, and in layouts
  • linearity graphs summarize linearity of bias in variability charts
  • Logistic probability plot
  • Lognormal exploratory plot
  • Mahalanobis distance outlier plot
  • Marker (palette of 16 markers)
  • Means diamonds
  • Means with error bars
  • Mesh plots for a 3-D view of bivariate probability densities for nonparametric density estimation, and for response surfaces
  • Mosaic plots for contingency tables
  • Multivariate outlier detection plot (Mahalanobis distance)
  • Needle plot
  • Normal curve
  • Normal plot for effect screening and multiple regression
  • Normal quantile plot
  • OC (Operating Characteristic Curves) for Xbar, c, u, and p charts
  • Overlay line plots
  • Overlay Plot platform—line and bar, double Y axes, plot y as a function of x
  • Paired t-test plot
  • Parallel Plot—Graph menu command draws connected line segments for each row in the data table
  • Parallel plot Fit Y by X option for matching variable analysis
  • Pareto charts single and comparative
  • Pareto chart of effects for screening designs
  • Pareto plot
  • Pareto plot—Ungroup Plots option allows a group of Pareto charts to be split up into separate plots
  • Partial autocorrelation plot—histogram of partial autocorrelations of lags; a diagnostic for ARIMA time series modeling
  • Partition graph
  • Periodograms for spectral analysis
  • Pie chart
  • Polynomial regression curve fitting
  • Power curves
  • Prediction graph (PLS platform)
  • Prediction Profiler
  • Prediction Variance Profile Plots (DOE)
  • Probability plots for logistic regression
  • Profile plots for mixture designs
  • Profile plots for regression factors
  • Profile plots for single and multiple responses vs. design factors
  • Quantile plots for nonnormal distributions (Lognormal, 2 & 3 parameter Weibull, Extreme Value, Gamma, Beta, and Exponential)
  • Recurrence analysis event plot
  • Recurrence analysis MCF (Mean Cumulative Function) plot
  • Regression plot of actual by predicted
  • Regression residual plot—plots of residual by predicted, residual by row (Fit Model)
  • Regression residual plot—for Fit Line, Fit Polynomial & Fit Transformed (Fit Y by X)
  • ROC (Receiver Operating Characteristic) curve—for binary logistic regression; plots true positive vs. false positive
  • Runs Chart
  • Scatterplot
  • Scores plot
  • Scripting language—JSL can produce custom and animated graphics scripts
  • Shewhart control charts for Xbar, range, and standard deviation
  • Smooth curve—1 dimension smoothing of histograms with kernel slider
  • Spectral density plots—spectral density vs. period, spectral density vs. frequency
  • Spline fitting—fit any order spline to bivariate data and save predicted values
  • Stem and leaf plot
  • Surface Plot—Graph menu platform that draws three-dimensional surfaces, rotates, directional lighting, variable mesh, complete color selection
  • Survival Curve plots—three new plots for fitted distributions vs. time: survival, density, and hazard
  • Survival curve plots/failure curve plots (Kaplan Meier), Weibull, lognormal, and exponential exploratory plots
  • Ternary plot
  • Time series plot
  • Tree map
  • Variogram chart—a histogram that compares variances k lags apart to the variance of lag 1
  • Variability charts (Gage R&R plots)
  • Variability std dev plot
  • V-Mask for Cusum charts
  • 3-D Biplot points and principal components
  • 3-D Spin plot of points
 
SAS | JMP is a business unit of SAS. SAS Campus Drive, Building S, Cary, NC, 27513 • Phone: 1.919.677.8000
© 2008 SAS Institute, Cary, NC, USA. All Rights Reserved. Terms of Use • Privacy Policy