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SigmaPlot has Extensive Statistical Analysis Features

SigmaPlot is now offered with SigmaStat as an easy-to-use, wizard-based statistical software package designed to guide users through every step of the analysis and perform powerful statistical analysis without being a statistical expert. It is tailored to the areas of life science and medical research. You can be confident that you have analyzed your data correctly and you save time, too!

Parametric Statistics

  • t-Tests
    • Analysis of Variance
    • Independent and paired t-tests
    • One, two and three-way ANOVA
    • One and two-way repeated measures ANOVA [top]

Non-parametric Statistics

  • Mann-Whitney rank sum test
  • Wilcoxon signed-rank test
  • Kruskal-Wallis ANOVA
  • Friedman repeated measures ANOVA [top]

Correlation

  • Spearman rank-order
  • Pearson product-moment [top]

Regression

  • Linear, multiple linear and nonlinear
  • Polynomial, stepwise, best subsets
  • Multiple logistic
  • Up to 10th-order with confidence intervals, prediction intervals and regression statistics [top]

Rates and Proportions

  • Chi-square analysis of contingency tables
  • McNemar test
  • Fisher's exact test [top]

Power and Sample Size

  • t tests and proportions
  • ANOVA and correlation
  • Chi-square [top]

Descriptive Statistics

  • Mean, median, standard deviation, standard error of mean
  • Percentiles, sum of squares
  • Skewness, kurtosis
  • Confidence interval for the mean range
  • Maximum and minimum values
  • Normality, sample size and missing value content
  • Size, sum, standard error, skewness, minimum positive, number of missing values [top]

Normality

  • Kolmogorov-Smirnov [top]

Equal Variance

  • Levene median test [top]

ANOVA Multiple Comparison Options

  • Holm-Sidak test
  • Tukey test
  • Duncan's multiple range test
  • Fisher's least significant difference test
  • Student-Newman-Keuls test
  • Bonferroni t test
  • Dunnett's test
  • Dunn's test [top]

Survival Analysis

  • Kaplan-Meier product-limit estimation method
  • Survival curve options: error bars,confidence intervals, censored or failure points, fraction or percentage scale
  • Single group
  • LogRank
  • Gehan-Breslow
  • Cox Regression [top]

Regression Diagnostics

  • Multicollinearity, homoscedasticity, residuals
  • Cook's distance [top]

Test-Specific Options

  • Set alpha for power calculation
  • Set significance level for multiple comparisons [top]
 

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 [top]

Global Curve Fitting

  • Perform simultaneous fitting of multiple data sets using a single fit equation
  • Optionally share one or more equation parameters across all data sets
  • Several data formats are available to represent your data
  • Creates a graph containing the raw data and the fit curves for each data set
  • Creates a report with numeric results for each data set [top]

Dynamic Curve Fitting Wizard

  • 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
  • Performs multiple fits of a single equation to a data set using several sets of starting parameter values randomly selected from specified ranges
  • Improves the likelihood of obtaining the global minimum solution
  • Parameter ranges can be user-defined or computed automatically
  • Worksheet results provide several statistics and performance measures for each fit
  • Creates a Dynamic Fit Profile plot that summarizes the performance of all convergent fits
  • Creates a graph of the raw data with the fit curve that corresponds to the overall best-fit parameters
  • Creates a report containing summary information for all fits and detailed numeric results of the overall [top]

24 New Probability Transforms

  • Gamma, Weibull, Cauchy, Error, LogNormal, Exponential, Logistic, LogLogistic [top]

New Results Graphs

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


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