STATISTICS


Major test*

• Cox Regression

Minor tests*

• Odds Ratio Statistic
• Relative Risk Statistic
• One Sample t-test
• Shapiro-Wilk Normality Test

New Result Graphs*

• Anova Profile Plots
• Cox Regression Plots (Cumulative Hazard, Log Log Survival)

24 New Probability Transforms*

• Gamma, Weibull, Cauchy, Error, LogNormal, Exponential, Logistic, LogLogistic

More informative Anova messages*

Regression Wizard

• Linear and nonlinear regressions
• Over 100 built-in, graphically-illustrated equations
• Marquardt-Levenberg algorithm with up to 10 independent variables and 25 parameters
• Define constraints, tolerance, step size and iterations
• Automatically determines your initial parameters
• Writes a complete statistical report to your SigmaPlot Notebook
• Automatically graphs your results on new or existing graphs
• Edit code so you can customize the SigmaPlot library of functions or create your own
• Specify the range for the predicted values output by curve-fitter
• Automatic Linear Regressions
• Up to 10th order with confidence and prediction intervals and regression statistics
• Column Statistics Generated Automatically
• Size, sum, mean, minimum, maximum, standard deviation, standard error, skewness, minimum positive, number of missing values, and 95% & 99% confidence intervals

Automatic Linear Regressions

• Up to 10th order with confidence and prediction intervals and regression statistics

Column Statistics Generated Automatically

• Size, sum, mean, minimum, maximum, standard deviation, standard error, skewness, minimum positive, number of missing values, and 95% & 99% confidence intervals

Dynamic Curve Fitting*

• Converged - Those fitsfthat satisfied the convergence criterion.
• Singular Solutions - Those convergent fitsfwhose covariance matrix is singular.
• Ill-Conditioned Solutions - Those convergent fits whose covariance matrix is ill-conditioned (to machine precision).
• Evaluation Failures - Fits that failed to converge due to an evaluation error of the fit equation induced by certain (out of domain) parameter values.
• Iterations Exceeding - Fits that failed to converge after the iteration limit was reached. This user specified limit is inserted into the brackets above.
• Inner-Loop Failures - Fits where the Levenberg-Marquardt parameter has increased above a prescribed value when searching for a parameter direction to decrease the residual sum of squares.

Global Curve Fitting*

• Converged - Those fits that satisfied the convergence criterion.
• Singular Solutions - Those convergent fits whose covariance matrix is singular.
• Ill-Conditioned Solutions - Those convergent ffits whose covariance matrix is ill-conditioned (to machine precision).
• Evaluation Failures - Fits that failed to converge due to an evaluation error of the fit equation induced by certain (out of domain) parameter values.
• Iterations Exceeding - Fits that failed to converge after the iteration limit was reached. This user specified limit is inserted into the brackets above.
• Inner-Loop Failures - Fits where the Levenberg-Marquardt parameter has increased above a prescribed value when searching for a parameter direction to decrease the residual sum of squares.