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

