NCSS

 

NCSS for MAC OS X

For installing and using NCSS on Mac OS X a Windows emulator, like Parallels, is requiered!

With new analysis, graphics, and data tools, NCSS is more powerful and easier to use than ever before! This new version includes

Group-Sequential Analysis for Hazard Rates, Means, and Proportions (Superiority and Non-Inferiority) Simple and Stratified Dataset Random Sampling Tools At-Risk Tables Added to Applicable Plots in All Survival/Reliability Procedures Heatmaps Added to Factor Analysis and PCA Procedures   Tukey-Pairwise and Dunnett’s Many-to-One (Control) Multiple Comparisons Tests for Proportions Added to Contingency Tables (Crosstabs / Chi-Square Test) Block Randomization and Stratified Lists Added to the Randomization Lists Procedure Data Window Improvements (Now Requires up to 70% Less Memory to Load the Same Amount of Data) Improved Algorithms for the Standardized Range Probability Distribution

 

 

More Procedures

Addition of new procedures and tests:

• Paired T-Test for Superiority by a Margin
• One-Sample T-Test for Non-Inferiority
• One-Sample T-Test for Superiority by a Margin
• One-Sample T-Test for Equivalence
• Two-Sample T-Test for Superiority by a Margin
• –
• Analysis of 2×2 Cross-Over Designs using T-Tests for Non-Inferiority
• Analysis of 2×2 Cross-Over Designs using T-Tests for Superiority by a Margin
• Analysis of 2×2 Cross-Over Designs using T-Tests for Equivalence
• –
• One Proportion – Non-Inferiority Tests
• One Proportion – Superiority by a Margin Tests
• One Proportion – Equivalence Tests
• –
• Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
• Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
• Two-Sample Equivalence Tests for Survival Data using Cox Regression
• –
• Cluster Randomization – Create Cluster Means Dataset
• Cluster Randomization – Create Cluster Proportions Dataset
• Cluster Randomization – Create Cluster Rates Dataset
• –
• General Linear Models (GLM) for Fixed Factors
• –
• One-Way Analysis of Covariance (ANCOVA)
• Analysis of Covariance (ANCOVA) with Two Groups
• –
• Clustered Heat Maps (Double Dendrograms)

Examples of new plots:

• Clustered Heat Map (Double Dendrogram)

 

More Features

 

• Conditional Logistic Regression
• Multiple Regression – Basic
• Negative Binomial Regression
• Zero-Inflated Negative Binomial Regression
• Zero-Inflated Poisson Regression
• Geometric Regression
• Fractional Polynomial Regression
• Passing-Bablok Regression for Method Comparison
• Robust Linear Regression (Passing-Bablok Median-Slope)
• Logistic Regression (including confidence intervals for AUC)
• Two-Stage Least Squares
• Scatter Plots with Error Bars
• Scatter Plots with Error Bars from Summary Data
• Error-Bar Charts from Summary Data
• Error-Bar Charts from Summary Data (2 Factors)
• Descriptive Statistics – Summary Tables
• Descriptive Statistics – Summary Lists
• One ROC Curve and Cutoff Analysis
• Comparing Two ROC Curves – Independent Groups Design
• Comparing Two ROC Curves – Paired Design
• Single Sample Binary Diagnostic Test Analysis
• Correlation
• Circular Data Correlation
• Reference Intervals
• Appraisal Ratio Studies
• Comparables Appraisal
• Hybrid Appraisal Models
• Multiple Regression for Appraisal
• Acceptance Sampling for Attributes
• Operating Characteristic Curves for Acceptance Sampling for Attributes
• Linear Programming with Bounds
• Mixed Integer Programming
• Quadratic Programming
• Transportation
• Assignment
• Minimum Spanning Tree
• Shortest Route
• Maximum Flow
• Minimum Cost Capacitated Flow
• Transshipment
• Dwass-Steel-Critchlow-Fligner MC Test (in the One-Way Analysis of Variance Procedure)

Enhancements

• Data Simulation Procedure
  The Data Simulation procedure was enhanced to include a much larger selection of distributions.
• One-Way ANOVA Residuals
  The One-Way Analysis of Variance procedure now gives the ability to store residuals.
• Contingency Tables Table Entry
  The table entry in the Contingency Tables (Crosstabs / Chi-Square Test) procedure was improved.
• One Proportion Data Entry
  A Database Data Entry option is now available in the One Proportion procedure.
• Export Tool
  The Export tool now has the ability to select variables for export.
• Output Titles
  Software version titles are given in the output.
• Error-Bar Plots
  The error-bar plots procedures now give the options for Confidence Interval and Range.
• Spreadsheet Controls
  The Spreadsheet controls have been updated.
• 3D Charting
  The 3D charting control has been updated for additional processing and display speed.
• Column Selection Tools
  The column selection tools have been dramatically enhanced.
• Auto-Scaling of Ticks
  The Auto-Scaling of the ticks of the numeric axis of plots has been improved.
• Filters and Missing Values in Time Series and Forecasting
  Filter and missing values options are now available in all Forecasting and Time Series procedures.
• Procedure Menus
  The procedure menus were enhanced to be more intuitive.

---

Features of the software NCSS

Analysis of Variance

• One-Way Analysis of Variance
• Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
• Balanced Design Analysis of Variance
• General Linear Models (GLM)
• Repeated Measures Analysis of Variance
• Multivariate Analysis of Variance (MANOVA)
• Analysis of Two-Level Designs
• Nondetects-Data Group Comparison
• Area Under Curve

Clustering

• Fuzzy Clustering
• Hierarchical Clustering / Dendrograms
• K-Means Clustering
• Medoid Partitioning
• Regression Clustering

Correlation

• Linear Regression and Correlation
• Box-Cox Transformation for Simple Linear Regression
• Point-Biserial and Biserial Correlations
• Correlation Matrix
• Canonical Correlation
• Lin's Concordance Correlation Coefficient
• Bland-Altman Plot and Analysis

Curve Fitting

• Curve Fitting - General
• Michaelis-Menten Equation
• Ratio of Polynomials Fit - One Variable
• Ratio of Polynomials Search - One Variable
• Reference Intervals with a Covariate
• Sum of Functions Models
• Nonlinear Regression
• Ratio of Polynomials Fit - Many Variables
• Ratio of Polynomials Search - Many Variables
• Function Plots
• Scatter Plot Matrix for Curve Fitting

Descriptive Statistics

• Descriptive Statistics
• Descriptive Statistics - Summary Tables
• Contingency Tables (Crosstabs / Chi-Square Test)
• Frequency Tables
• Box-Cox Transformation
• Data Screening
• Data Simulation
• Grubbs' Outlier Test
• Normality Tests
• Stem-and-Leaf Plots
• Back-to-Back Stem-and-Leaf Plots
• Item Analysis
• Item Response Analysis
• Area Under Curve
• Circular Data Analysis
• Tolerance Intervals

Design of Experiments

• Randomization Lists
• Balanced Incomplete Block Designs
• Fractional Factorial Designs
• Latin Square Designs
• Response Surface Designs
• Screening Designs
• Taguchi Designs
• Two-Level Designs
• Design Generator
• D-Optimal Designs
• Analysis of Two-Level Designs
• Response Surface Regression

Forecasting / Time Series

• ARIMA (Box-Jenkins)
• Automatic ARMA
• Theoretical ARMA
• Autocorrelations
• Cross-Correlations
• Spectral Analysis
• Decomposition Forecasting
• Exponential Smoothing - Horizontal
• Exponential Smoothing - Trend
• Exponential Smoothing - Trend / Seasonal
• Harmonic Regression
• Analysis of Runs
• Time Series Plots

Mass Appraisal

• Appraisal Ratios
• Comparables - Sales Price
• Hybrid Appraisal Models
• Descriptive Statistics
• Descriptive Statistics - Summary Tables
• Multiple Regression
• Nonlinear Regression

Meta-Analysis

• Meta-Analysis of Correlated Proportions
• Meta-Analysis of Hazard Ratios
• Meta-Analysis of Means
• Meta-Analysis of Proportions
• Forest Plots

Mixed Models

• Mixed Models - General
• Mixed Models - No Repeated Measures
• Mixed Models - Repeated Measures
• Mixed Models - Random Coefficients

Multivariate

• Canonical Correlation
• Equality of Covariance
• Factor Analysis
• Principal Components Analysis
• Discriminant Analysis
• Hotelling's One-Sample T2
• Hotelling's Two-Sample T2
• Multivariate Analysis of Variance (MANOVA)
• Correspondence Analysis
• Multidimensional Scaling

Nonparametric

• Analysis of Runs
• Bootstrap Confidence Intervals (One-Sample T-Test)
• Bootstrap Confidence Intervals (Paired T-Test)
• Bootstrap Confidence Intervals (Two-Sample T-Test)
• Cochran's Q Test
• Cumulative Incidence
• Friedman's Rank Test (Balanced Design ANOVA)
• Kaplan-Meier Curves (Logrank Tests)
• Kolmogorov-Smirnov Test (Two-Sample T-Test)
• Kruskal-Wallis Test (One-Way ANOVA)
• Mann-Whitney U Test (Two-Sample T-Test)
• Nondetects-Data Group Comparison
• Randomization Test (One-Sample T-Test)
• Randomization Test (Paired T-Test)
• Randomization Test (Two-Sample T-Test)
• ROC Curves
• Spearman Rank Correlation (Correlation Matrix, Linear Regression and Correlation)
• Wilcoxon Signed-Rank Test (One-Sample T-Test)
• Wilcoxon Signed-Rank Test (Paired T-Test)

Operations Research

• Linear Programming

Proportions

• One Proportion
• Two Proportions
• Two Proportions - Non-Inferiority Tests
• Two Proportions - Superiority Tests
• Two Proportions - Equivalence Tests
• Two Proportions - Two-Sided Tests vs. a Margin
• Two Correlated Proportions (McNemar Test)
• Two Correlated Proportions - Non-Inferiority Tests
• Two Correlated Proportions - Superiority Tests
• Two Correlated Proportions - Equivalence Tests
• Contingency Tables (Crosstabs / Chi-Square Test)
• Frequency Tables
• Cochran's Q Test
• Loglinear Models
• Mantel-Haenszel Test
• ROC Curves
• Item Analysis
• Item Response Analysis
• Binary Diagnostic Tests - Single Sample
• Binary Diagnostic Tests - Two Independent Samples
• Binary Diagnostic Tests - Paired Samples
• Binary Diagnostic Tests - Clustered Samples

Quality Control

• X-bar and R Charts
• X-bar and s Charts
• X-bar Charts
• R Charts
• s Charts
• CUSUM Charts
• Moving Average Charts
• EWMA Charts
• Individuals and Moving Range Charts
• Levey-Jennings Charts
• P Charts
• NP Charts
• C Charts
• U Charts
• Capability Analysis
• R & R Study
• Tolerance Intervals
• Lag Plots
• Analysis of Runs
• Pareto Charts

Regression

• Linear Regression and Correlation
• Box-Cox Transformation for Simple Linear Regression
• Deming Regression
• Harmonic Regression
• Mixed Models - Random Coefficients
• Point-Biserial and Biserial Correlations
• Multiple Regression
• Multiple Regression with Serial Correlation
• Nondetects Data Regression
• Principal Components Regression
• Response Surface Regression
• Ridge Regression
• Robust Regression
• Cox Regression
• Parametric Survival (Weibull) Regression
• Logistic Regression
• Discriminant Analysis
• Poisson Regression
• Probit Analysis
• Nonlinear Regression

Regression (Variable Selection)

• All Possible Regressions
• Stepwise Regression
• Subset Selection in Multiple Regression
• Subset Selection in Multivariate Y Multiple Regression
• Cox Regression
• Discriminant Analysis
• Logistic Regression
• Poisson Regression

Survival / Reliability

• Cumulative Incidence
• Kaplan-Meier Curves (Logrank Tests)
• Life-Table Analysis
• Cox Regression
• Parametric Survival (Weibull) Regression
• Beta Distribution Fitting
• Distribution (Weibull) Fitting
• Gamma Distribution Fitting
• Mantel-Haenszel Test
• Probit Analysis
• Time Calculator
• Tolerance Intervals
• Survival Parameter Conversion Tool
• Survival Plots

T-Tests

• One-Sample T-Test
• Paired T-Test
• Paired T-Test for Non-Inferiority
• Paired T-Test for Equivalence
• Two-Sample T-Test
• Two-Sample T-Test from Means and SD's
• Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
• Testing Non-Inferiority with Two Independent Samples
• Testing Equivalence with Two Independent Samples
• Bland-Altman Plot and Analysis
• Hotelling's One-Sample T2
• Hotelling's Two-Sample T2
• Analysis of Two-Level Designs
• Cross-Over Analysis Using T-Tests

Graphics Procedures

Bar Charts

• Bar Charts
• Bar Charts (2 Factors)
• 3D Bar Charts
• 3D Bar Charts (2 Factors)
• Pareto Charts

Bland-Altman Plot

• Bland-Altman Plot and Analysis

Box Plots

• Box Plots
• Box Plots (2 Factors)

Circular Data Plots

• Circular Data Analysis (Rose Plots)
• Pie Charts

Combo Charts

• Combo Charts
• Combo Charts (2 Factors)

Contour Plots

• Contour Plots

Curve Fitting

• Curve Fitting - General
• Michaelis-Menten Equation
• Function Plots
• Scatter Plot Matrix for Curve Fitting

Dendrograms

• Hierarchical Clustering (Dendrograms)

Density Plots

• Density Plots
• Density Plots (2 Factors)

Dot Plots

• Dot Plots
• Dot Plots (2 Factors)

Error-Bar Charts

• Error-Bar Charts
• Error-Bar Charts (2 Factors)

Forecasting / Time Series

• ARIMA (Box-Jenkins)
• Automatic ARMA
• Theoretical ARMA
• Autocorrelations
• Cross-Correlations
• Spectral Analysis
• Decomposition Forecasting
• Exponential Smoothing - Horizontal
• Exponential Smoothing - Trend
• Exponential Smoothing - Trend / Seasonal
• Lag Plots
• Analysis of Runs

Forest Plots

• Meta-Analysis of Correlated Proportions
• Meta-Analysis of Hazard Ratios
• Meta-Analysis of Means
• Meta-Analysis of Proportions

Function Plots

• Function Plots

Histograms

• Histograms
• Comparative Histograms
• Comparative Histograms (2 Factors)
• Rose Plots

Kaplan-Meier Curves (Survival)

• Kaplan-Meier Curves

Line Charts

• Line Charts
• Line Charts (2 Factors)
• 3D Line Charts
• 3D Line Charts (2 Factors)

Mosaic Plots

• Mosaic Plots

Percentile Plots

• Percentile Plots
• Percentile Plots (2 Factors)

Pie Charts

• Pie Charts

Probability Plots

• Normal Probability Plots
• Weibull Probability Plots
• Log-Normal Probability Plots
• Gamma Probability Plots
• Exponential Probability Plots
• Chi-Square Probability Plots
• Uniform Probability Plots
• Half-Normal Probability Plots
• Probability Plot Comparison

Quality Control Charts

• X-bar and R Charts
• X-bar and s Charts
• X-bar Charts
• R Charts
• s Charts
• CUSUM Charts
• Moving Average Charts
• EWMA Charts
• Individuals and Moving Range Charts
• Levey-Jennings Charts
• P Charts
• NP Charts
• C Charts
• U Charts
• Capability Analysis
• Lag Plots
• Analysis of Runs
• Pareto Charts

ROC Curves

• ROC Curves

Scatter Plots

• Scatter Plots
• 3D Scatter Plots
• Scatter Plot Matrix
• Scatter Plot Matrix for Curve Fitting
• Lag Plots

Stem-and-Leaf Plots

• Stem-and-Leaf Plots
• Back-to-Back Stem-and-Leaf Plots

Surface and Contour Plots

• Contour Plots
• 3D Surface Plots

3D

• 3D Scatter Plots
• 3D Surface Plots
• 3D Bar Charts
• 3D Bar Charts (2 Factors)
• 3D Line Charts
• 3D Line Charts (2 Factors)

Operations

• Data Window
• Importing Data
• Exporting Data
• Filters
• Transformations
• Stacking Data
• Unstacking Data
• Creating Contrast Variables

Procedures

• Box-Cox Transformation
• Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
• Box-Cox Transformation for Simple Linear Regression
• Data List
• Data Screening
• Data Simulation
• Merging Two Datasets
• Data Matching - Greedy
• Data Matching - Optimal
• Data Stratification
• Time Calculator

Calculators

• Probability Calculator
• Chi-Square Effect Size Calculator
• Odds Ratio and Proportions Calculator
• Standard Deviation Calculator
• Survival Parameter Conversion Tool