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Alphabetical List of Features

K

Kackar-Harville—standard errors in mixed models
Kaplan-Meier life table analysis—Survival and Reliability > Survival/Reliability
Kappa statistic—agreement statistic for two-way tables when there are equal levels in both variables, Fit Y by X categorical
Kappa, Fisher’s—see Fisher’s kappa
Kendall’s tau-b—nonparametric correlation, Multivariate Methods > Multivariate
kernel smoothing—two-way nonparametric density contours for scatterplots Fit Y by X bivariate
Kenward-Roger—tests on fixed effects in mixed models
K-means clustering—iterative process to form the number of user-specified clusters, optional parallel coordinate plot, Multivariate Methods > Cluster
Kruskal-Wallis test—nonparametric test of k sample means , Fit Y by X oneway
KSL (Kolmogorov-Smirnov-Lilliefors) test— nonparametric goodness of fit to normal distribution for large sample size, n>2000, Shapiro-Wilk test statistic for smaller samples, Lognormal, and Exponential distributions, Distribution
Kurtosis—Distribution

L

L18 and L36—DOE, Screening Design
labels—identify data points in any plot with values in one or more columns
lack of fit tests—for linear models when appropriate
Latin Hypercube—method of generating a Space Filling Design, DOE, Space Filling Design
lattice mixture designs—DOE, Mixture Design
layout command—Edit menu command captures results of a JMP analysis, layout results are editable
least squares fitting—standard fitting method for all linear models
least squares means comparisons for multi-way layouts—Tukey’s HSD for multiple comparisons and Student’s t for pairwise comparisons, Fit Model SLS
left-censored survival models (see tobit model)
Lenth’s method, pseudo-standard error—method fits line to normal quantile points of parameter estimates in regression analysis, Fit Model SLS
letter report (presentation of multiple comparisons results), Fit Model SLS
Levene’s test for homogeneity of variance, Fit Y by X oneway
leverage plots—effect test graph of a partial F test, Fit Model SLS
Levey-Jennings chart type, Control Chart
life tables (actuarial) templates included in sample data library
life tables (product-limit or Kaplan Meier)—Survival and Reliability > Survival/Reliability
Likelihood Ratio Chi-square test , two-way contingency table analysis, logistic models, Fit Y by X categorical and Fit Model Nominal or Ordinal Logistic
Lilliefors confidence bands—normal quantile plot, Distribution
line chart—single or overlay plots, points connected or unconnected, needle plot, linear or log scales, Chart
linearity study—graphs linearity and summarizes linearity of bias in variability charts, Variability/Gage Chart
logarithmic axes—overlay plot and bivariate plot
logistic regression— analysis of loglikelihood Chi-square statistic, save probability scores, Wald’s and Likelihood Ratio Chi-square, Fit Y by X logistic and Fit Model Nominal or Ordinal Logistic
log-linear model—see logistic regression
loglogistic distribution model fitting—nonlinear regression with appropriate loss function (see also loss function templates)
lognormal fits—see fitting distributions
lognormal survival curve analysis—Survival and Reliability > Survival/Reliability
log-rank test—Survival and Reliability > Survival/Reliability
loss function templates—for exponential, extreme value, loglogistic, lognormal, normal, tobit, and Weibull distributions, used with arbitrary censoring
LSD (Least Significant Difference)—difference in means that is significant at a given p-value in multiple comparison test tables, Fit Y by X oneway
LSMeans—test for ANOVA effects, Fit Model SLS
LSN (Least Significant Number)— sample size determinations shown in power calculations results, Sample Size and Power (DOE menu)
LSV (Least Significant Value)— parameter determinations, shown in power calculations results, Sample Size and Power (DOE menu)

M

M Matrix—Fit Model Manova
Mahalanobis distance outlier plot—distance of point from n-dimensional centroid of points, Multivariate Methods > Multivariate
Mallow’s Cp—stepwise selection criterion, Fit Model SLS
Mann-Whitney U test—same as Wilcoxon 2-sample or Kruskal-Wallace k-sample, Fit Y by X oneway
MANOVA and MANCOVA—Multivariate Analysis of Variance, Multivariate Analysis of Covariance, Fit Model Manova
Mantel-Haenszel test—tests for association between Y and X classification variables across categories, Fit Y by X categorical
marginal means—Fit Model SLS
Mauchley criterion—see sphericity test
matched pair analysis—paired t-tests and grouped data with two repeated measures, Matched Pairs
matrix algebra—available in scripting language (JSL)
maximize desirability—set desirability functions to identify best process variable settings, see desirability functions and prediction profiler
maximum likelihood—nonlinear regression, loss function is a negative loglikelihood, Fit Model Manova
Maximum r-square—lack-of-fit test shows maximum possible r-square, Fit Model SLS
MCF plot—mean cumulative function, Survival/Reliability > Recurrence Analysis
mean—estimates with confidence interval
mean control chart for variables— quality control, Control Chart
mean equal to a given value—z test, t test, signed rank test, Distribution
means across groups—in data table using Group/Summary command
means diamonds—shows mean and 95% confidence interval for each group, Fit Y by X oneway
means with error bars—means optional with one standard error above and below the mean, option for std. dev. lines, Fit Y by X oneway
means—single population, Distribution
measurement regression—see orthogonal regression
median—quantiles in Distribution and as data table column from Group/Summary command, shown on Fit Y by X oneway box plots
median and % total summary statistics—given in JMP table produced by Group/Summary command
median moving range charts (see Control Charts)
median test—2-sample and Brown-Mood k-sample, Fit Y by X oneway
minimum potential—spherical space filling design, DOE
missing data pattern—table menu command to generate a JMP data table of missing data patterns
mixed-level designs—DOE, Custom Design
mixed model— includes randomized complete block and incomplete block designs, split, strip, and split-strip plot designs, repeated measures designs, random effect models, uses REML estimation, and Kenward-Roger fixed effects tests, Fit Model SLS
mixture designs—DOE, Mixture Design, Custom Design
modeling type—modeling type (nominal, ordinal, or continuous) of variable defines method of analysis
moments, descriptive statistics—Distribution or columns in data table produced by Group/Summary command
mosaic plot—stacked bar chart of proportion levels for single variable or side-by-side for cross-tabulations, Distribution and Fit Y by X categorical analysis
moving average analysis of time series—see time series modeling and forecasting
moving average charts—UWMA and EWMA, Control Chart
multi-var chart—shows variation over groups, Variability/Gage Chart
multicollinearity—see collinearity
multiple comparisons—one-way ANOVA, Student’s t, Tukey-Kramer, Dunnett’s test, Hsu’s MCB test, Fit Y by X oneway
multiple regression—Fit Model SLS
multivariate control charts—Multivariate
multivariate techniques—MANOVA models, 3-D spinning plot, principal components, biplots, discriminant analysis, canonical correlation, cluster analysis, Item Analysis, Little Jiffy factor analysis, multivariate outlier plots, PLS (partial least squares)
multivariate tests—Wilks’ Lambda, Pillai’s Trace, Hotelling-Lawley Trace, Rows Maximum root Criterion, Fit Model Manova

N

navigation—JMP Starter helps novice users find and launch correct platforms for analyses and graphics
needle mean chart—Xbar (mean) control chart, Control Chart
needle plot—line charts with lines replaced by needles from x-axis to points, Chart
nested design analysis—Fit Model SLS
Neural Net—neural net modeling using a single hidden layer with interactive crossvalidation, Modeling > Neural Net
No-intercept models—mixture model analysis, Fit Model SLS
nominal logistic regression—Fit Y by X or Fit Model
nonlinear design—DOE for nonlinear models, DOE > Nonlinear Design
nonlinear least squares fitting—Analyze > Modeling > Nonlinear
nonparametric correlations— Kendall’s tau, Spearman’s rho, Hoeffding’s D, Multivariate Methods > Multivariate
nonparametric density smoothing—density estimation of bivariate density, Fit Y by X bivariate
nonparametric goodness of fit tests—KSL, Shapiro-Wilk and Cramer-von Mises W, tests fitted distribution, Distribution
nonparametric one-way ANOVA and mean tests—Kruksal-Wallis (Wilcoxon), Median, Van der Waerden rank tests, Fit Y by X oneway
normal curve—distribution fit, Distribution
normal mixtures—robust, diagonal or full covariance
normal plot—plots normal quantiles of parameter estimates, Fit Model SLS
normal quantile plot (QQ plot)— plots normal standard line and deviations from normality, Distribution
normality test—Shapiro-Wilk test, KSL test, Distribution
np control chart for attributes—quality control, Control Chart

O

O’Brien’s test—homogeneity of variance, Fit Y by X oneway
ODBC (Open DataBase Connectivity) compliance—to query and retrieve from databases
odds ratios—see logistic regression
ordinal logistic regression—Fit Y by X or Fit Model
orthogonal array—DOE, Screening Design, Taguchi Design
orthogonal designs—DOE, Screening Design, Response Surface Design
orthogonal regression—line adjusted for variability in X as well as Y, Fit Y by X bivariate
orthogonal t-test—tests parameter estimates after transformation makes them independent and indentically distributed, Fit Model SLS
outlier (box & whiskers) box plot—Distribution
outlier distance plot or jackknifed Mahalanobis distances—outlier detection, Multivariate Methods > Multivariate
output and clipboard formats—text (RTF, HTML) graphics for windows (WMF, EMF, JPEG, PNG, PICT) graphics for Macintosh (PICT, JPEG, PNG (requires Quickload® 4.1 or higher))
overlay plots—line and bar, double Y axes, plot y as a function of x, Overlay Plot