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Alphabetical List of Features

F

F test for all analyses where appropriate
factor analysis—little jiffy factor analysis (Kaiser), Spinning plot and Multivariate Methods > Multivariate platforms
factorial designs—fractional factorial, full factorial, blocking factor, Full Factorial Design
failure-plot analysis—univariate survival analysis, Survival and Reliability .> Survival/Reliability
Fieller’s theorem—confidence limits for inverse prediction, Fit Model
fishbone chart—Diagram
Fisher’s Exact test—for two-way contingency tables, Fit Y by X categorical
Fisher’s Kappa—test for white noise, see Spectral Density, Modeling > Time Series
fitting distributions—distribution curve fits and parameter estimates for continuous one-way data, includes Normal, Lognormal, Poisson, 2 & 3 parameter Weibull, Extreme Value, Gamma, Beta, Exponential and a nonparametric density smoother, Distribution
fitting personalities—standard least squares, stepwise, Manova, loglinear variance, nominal logistic, ordinal logistic, proportional hazard, parametric survival, Fit Model
fitting transformed data—Fit Special fits natural log, square root, square, reciprocal, and exponential transformations of either or both Y and X variables, Fit Y by X bivariate
forecasting—Modeling > Time Series
fractional factorial designs—DOE, Custom Design and Screening Design
frequency counts—one-way and two-way cross-tabulation table with Chi-square tests, Distribution and Fit Y by X categorical
frequency counts—column in data table produced by Tables > Group/Summary command
full factorial design—DOE, Full Factorial Design

G

Gabriel biplot—3-D plots of principal components and variables, Spinning Plot
Gage R&R report—for two factor crossed models, Graph > Variability/Gage Chart
Gamma fit (see fitting distributions)
G-efficiency (D-optimal designs)—DOE, Custom Design
Generalized Linear Models—regression analysis for Poisson, Binomial, Normal and Exponential distributions with a variety of link functions. Overdispersion adjusted likelihood ratio tests and confidence intervals are also supported.
goodness of fit—Chi-square statistic based on proportions, see lack of fit test
goodness of fit tests for one-way distribution fitting— Shapiro-Wilk and KSL tests for Normal, KSL for Lognormal and Exponential, Cramer-von Mises W for Weibull and Extreme Value, Distribution
Greenhouse-Geisser adjustment—multivariate model fit adjustment, Fit Model Manova
grouping variable option in many platforms

H

H matrix—multivariate models, Fit Model Manova
heat maps (see cell plots)
heteroschedasticity—group variances differ, Fit Y by X oneway
hierarchical clustering, Multivariate Methods > Cluster
hierarchy chart—Diagram
histograms—linked to data table, summary statistics, moments report, count axis, prob axis, error bars, counts and percents on bars, Distribution
Histogram borders—option in any Fit Y by X bivariate plot
Hoeffding’s D—nonparametric correlation, Multivariate Methods > Multivariate
homogeneity of variances— O’Brien’s, Brown-Forsythe, Levene’s and Bartlett’s, Fit Y by X oneway
Hotelling-Lawley Trace— approximate F test for multivariate analysis of variance, Fit Model Manova
Hotelling’s T2—Fit Model, Manova
Hsu’s MCB test—multiple comparison that tests to a selected ‘best’ group—Fit Y by X one-way
Huynh-Feldt—adjusts degrees of freedom, Fit Model Manova

I

import data (Linux)—Open command for JMP data tables, JMP journals, JSL scripts, JMP reports, text files, Open Office Spreadsheet files; Download files from website and open any database having UNIX ODBC driver
import data (Macintosh)—Open command for JMP data tables, JMP journals, JSL scripts, FACS files, Excel files, text files, SAS transport files, and SAS data sets
import data (Windows )—Open command for JMP tables, JMP journals, JSL scripts, SAS data sets, SAS transport files, automatic format discovery, Microsoft® Excel and Microsoft® Access files, dBase® files, FoxPro® files, and any other ODBC supported databases.(see also ODBC), Download files from website
individual measurement—Control Chart
inertia—correspondence analysis quantity Fit Y by X categorical analysis
influence statistics—Cook’s D regression diagnostic, Fit Model SLS
instrument data source for collecting real-time data
Ishikawa charts—Diagram
interaction plots—matrix of interaction profile plots of all two factor interactions, Fit Model SLS
interaction plot matrix— matrix of two factor interactions in DOE, Screening Design
interaction tests—Test Slices tests many main effects and interactions at one time, Fit Model SLS
inverse correlation matrix—Multivariate Methods > Multivariate
inverse prediction (calibration)— predict X for a given response, Y , Fit Model SLS
I-optimality— DOE, Custom Design
Item Analysis—score tests with the Item Response Theory (IRT), Multivariate Methods > IRT
iteratively reweighted least squares (IRLS)—nonlinear regression, Modeling > Nonlinear

J

jackknifed Mahalanobis distance plot— Multivariate Methods > Multivariate
jittered points—outlier box plot, Distribution
join (merge)—join tables side by side, join by key fields, Cartesian join (all levels of table1 with all levels of table2, Tables menu
journal—capture JMP analysis into an editable window
JSL—JMP Scripting Language (see rerun analysis and scripting language)
JSL Editor—continuing enhancements