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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!
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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]
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Non-parametric Statistics
- Mann-Whitney rank sum test
- Wilcoxon signed-rank test
- Kruskal-Wallis ANOVA
- Friedman repeated measures ANOVA [top]
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Correlation
- Spearman rank-order
- Pearson product-moment [top]
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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]
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Rates and Proportions
- Chi-square analysis of contingency tables
- McNemar test
- Fisher's exact test [top]
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Power and Sample Size
- t tests and proportions
- ANOVA and correlation
- Chi-square [top]
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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]
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Normality
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Equal Variance
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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]
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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]
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Regression Diagnostics
- Multicollinearity, homoscedasticity, residuals
- Cook's distance [top]
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Test-Specific Options
- Set alpha for power calculation
- Set significance level for multiple comparisons
[top]
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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]
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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]
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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]
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New Probability Transforms
- Gamma, Weibull, Cauchy, Error, LogNormal,
Exponential, Logistic, LogLogistic [top]
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New Results Graphs
- Anova Profile Plots
- Cox Regression Plots (Cumulative Hazard, Log Log
Survival) [top]
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