D.8 JMP

Approximate Cost: Individual annual license $1400; academic pricing and corporate pricing available

Current Version: JMP 10

Operating System Needs: Windows or Mac OSX

Input Structure: Supports database connections, text or Microsoft Excel file formats, column header names; one data row per measurement; tab-delimited preferred but not required.

Overview

JMP is a general statistical analysis platform that uses a graphical user interface to display and analyze data. JMP is not specifically tailored for statistical analysis of groundwater monitoring data. JMP is software for interactive statistical graphics and includes:

a spreadsheet for viewing, editing, entering, and manipulating data
several graphical and statistical methods for data analysis
a design of experiments module
options to select and display subsets of the data
data management tools for sorting and combining tables
a calculator for each table column to compute values
a facility for grouping data and computing summary statistics
special plots, charts, and communication capability
tools for moving analysis results between applications and for printing
a scripting language for saving frequently used routines

Statistical Functions

Statistical Method	Capability As Is	Capability with Scripts/Add-Ins
Handling of NDs
Simple Substitution		●
Kaplan-Meier		●
ROS		●
Cohen/MLE		●
Exploratory/Diagnostic Tools
Summary Statistics	●	●
Distributional tests	●	●
Outlier tests	●	●
Data transformations	●	●
Statistical Design
Statistical Power	◒	●
SWFPR		●
Contaminant ranking		●
Monitoring network optimization		●
Statistical Limits
Confidence Limits	●	●
Tolerance Limits	●	●
Prediction Limits	●	●
Testing Compliance Limits	●	●
Graphics
Plots/Charts	●	●
Batch plots	●	●
Tweaking of graphics	●	●
Statistical Comparisons
t-tests	●	●
ANOVA	●	●
Spatial Analysis
Geostatistics/Mapping	◒	◒
Kriging/Interpolation	◒	◒
Spatial smoothing	●	●
Regression/Time Series
Trend Tests	●	●
Mann-Kendall	●	●
Linear regression	●	●
Nonlinear regression	●	●
Theil-Sen line		●
Time Series analysis	●	●
Multivariate Analysis
Multiple regression	●	●
Factor/Discriminant analysis	●	●
Bootstrapping	●	●

Capability Ratings:

N/A = Not applicable or not available

● = Full capability

◒ = Some capability

(blank cell) = No capability

Add-Ins Available

JMP includes JMP Scripting Language (JSL). JMP can also call R (the open-source statistical computing environment R; see www.r-project.org) or Statistical Analysis System (SAS) functions for additional capabilities.

Ease of Use and Data Import

JMP offers descriptive statistics and simple analyses for beginning users, as well as more complex model fitting for advanced users. The program organizes statistics into logical areas with appropriate graphs and tables, which help users find patterns in data, identify outlying points, or fit models. Appropriate analyses are defined and performed based on the types of variables input. JMP provides several statistical and graphical methods organized into a small number of interactive platforms.

Types of Distributions

JMP accepts data of any distributional type. You can evaluate the statistical distribution and make data transformations within JMP. JMP also offers nonparametricStatistical test that does not depend on knowledge of the distribution of the sampled population (Unified Guidance). statistical tests.

Visualization

JMP includes sophisticated built-in graphics for data visualization, including contour mapping, complex nonlinear trends, post-plots, and shape file annotation. Through the JMP scripting language, the process of analyzing data and producing plots can be automated. Graphics can be modified by using the interface or by writing scripts. JMP has a journal option that allows you to export data summaries, statistical analyses, or plots into Microsoft Word or other formats.

Primary Uses for Groundwater Data Analysis

JMP is a general statistical analysis platform and is not tailored for statistical analysis of groundwater monitoring data. JMP can be used for various exploratory or more sophisticated analyses and can be specialized with JMP scripting language or call to R or SAS procedures. JMP can be used for reliability analysis.

Benefits

visual tools to assess data, flag values and look for trends among contaminants
can be used to evaluate multiple media
exploratory statistical tools for assessing data characteristics
fitting of nonlinear and seasonal time series data
multivariate methods to look for patterns in data

Limitations and Data Requirements

JMP is not specifically designed for groundwater monitoring data and therefore does not have all of the tests recommended for groundwater statistical analyses.
Analyses of nondetectsLaboratory analytical result known only to be below the method detection limit (MDL), or reporting limit (RL); see "censored data" (Unified Guidance). requires special data handling or writing scripts to handle these situations.

References

Sall, J. 2007. JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 4^th ed. SAS Press.

Thomas, L., and C. Drebs. 1997. “A Review of Statistical Power Analysis Software,” Bulletin of the Ecological Society of America. Vol. 78, No. 2: 128-139.

Publication Date: December 2013

Permission is granted to refer to or quote from this publication with the customary acknowledgment of the source (see suggested citation and disclaimer).