| Main Menu | return to Main Menu
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| Univariate Descriptive Statistics - Ungrouped Data |
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| Plot & describe dataseries | generates a simple plot of the dataseries and allows one to enter a description (useful for future reference when the computation is submitted to the archive)
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| Central Tendency | arithmetic mean, geometric mean, harmonic mean, median, midrange, midmean, robustness of central tendency (winsorized and trimmed mean), etc...
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| Variability | range, variance, standard deviation, variation, MSE, absolute deviation, interquartile difference, coefficient of quartile variation, Gini's mean difference, Leik's D, dispersion, diversity, qualitative variation, mean square deviation, etc...
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| Concentration | entropy, exponential index, Herfindahl, variation coefficient, Gini coefficient, Lorenz curve, etc...
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| Moments | general, non centered & centered moments, trimmed moments
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| Skewness/Kurtosis | Fisher 3rd centered moment, Fisher beta 1 & gamma 1, Pearson, Yule's skewness (according to 8 different quartile definitions), Beta, Gamma, small sample skewness, Fisher 4th centered moment, Fisher beta 2 & gamma 2, small sample kurtosis, etc...
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| Percentiles | normal probability plot, weighted average, empirical distribution, closest observation, TrueBasic(TM), Excel(TM), etc...
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| Histogram | computes the histogram (and frequency table) for a univariate data series
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| Kernel Density Estimation | computes and plots the density trace of a data series for different Kernels: Gaussian, Epanechnikov, Rectangular, Triangular, Biweight, Cosine, and Optcosine
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| Harrell-Davis Quantiles | computes the Harrell-Davis Quantiles and associated standard errors.
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| Stem-and-leaf | Computes the Stem-and-leaf plot of a dataseries
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| Univariate EDA | computes a series of graphical tools for the purpose of Explorative Data Analysis
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| Bootstrap Plot - Central Tendency | computes the Bootstrap Plot for three measures of Central Tendency
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| Blocked Bootstrap Plot - Central Tendency | computes the Blocked Bootstrap Plot for three measures of Central Tendency (for stationary time series)
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| Mean Plot | computes the Mean Plot for a (time) series
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| Standard Deviation Plot | computes the Standard Deviation Plot for a (time) series
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| (Partial) Autocorrelation Function | computes the autocorrelation and partial autocorrelation function for any univariate time series
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| Variance Reduction Matrix | computes the Variance Reduction Matrix that can be used to determine which combination of seasonal and non-seasonal differencing.
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| Standard Deviation-Mean Plot | computes the Standard Deviation-Mean Plot and the Range Mean Plot
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| Spectral Analysis | computes the raw periodogram and the cumulative periodogram of a univariate time series (with the 95% Kolmogorov-Smirnov confidence intervals)
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| Mean versus Median | computes the arithmetic mean and the median of a univariate dataset. It displays the Kernel Density Plot and the Harrell-Davis quantiles with an indication of the arithmetic mean and the median.
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| Univariate Summary Statistics | computes descriptive, summarizing statistics for any univariate data series.
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| Bivariate Descriptive Statistics - Ungrouped Data |
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| Plot & describe dataseries | plots a bivariate data series
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| Correlation | Pearson correlation, covariance, determination coefficient, scatter plot, etc...
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| Spearman Rank Correlation | computes the Spearman Rank Correlation between two data series with the R language
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| Simple Regression | general linear model, mean and variances, covariance, correlation, least squares estimation, parameters, response, significance, determination coefficient, ANOVA, residuals, autocorrelation, model selection, model performance, etc...
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| Bivariate Density | computes Bivariate Kernel Density Estimates
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| Kendall Rank Correlation | computes the Kendall tau Rank Correlation between two data series
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| Box-Cox Linearity Plot | computes the Box-Cox Linearity Plot
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| Linear Regression Graphical Model Validation | computes the Simple Linear Regression model (Y = a + b X) and various diagnostic tools from the perspective of Explorative Data Analysis
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| Back to Back Histogram | computes the Back to Back Histogram (sometimes called Bihistogram) for a bivariate dataset
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| QQ Plots | computes various QQ Plots and Histograms for a bivariate dataset
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| Cross Correlation Function | computes the Cross Correlation Function for any univariate time series
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| Somers Dxy Rank Correlation | computes the Somers Dxy Rank Correlation
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| Bagplot | computes the Bagplot for a bivariate data set
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| Bivariate EDA | computes a series of graphical tools for the purpose of Explorative Data Analysis
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| Trivariate Descriptive Statistics - Ungrouped Data |
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| Partial Correlation | Pearson Product Moment Partial Correlation.
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| Trivariate Scatterplots | computes 3-dimensional scatterplots, combinations of 2-by-2 scatterplots, histograms, bivariate density plots
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| Multivariate Descriptive Statistics - Ungrouped Data |
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| Kendall tau Correlation Matrix | computes the (multivariate) correlation plot based on Kendall tau rank correlations
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| Notched Boxplots | computes notched boxplots for every variable of the multivariate dataset
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| Star Plot | computes the Star Plot for a multivariate dataset
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| Agglomerative Nesting (Hierarchical Clustering) | computes the agglomerative hierarchical clustering of a multivariate dataset (Kaufman and Rousseeuw)
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| Hierarchical Clustering | computes the hierarchical clustering of a multivariate dataset based on dissimilarities.
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| Survey Scores | computes various numerical scores for a matrix containing results of a survey with questions that are measured on a Likert scale.
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| Cronbach Alpha | computes Cronbach Alpha and related statistics for items that belong to a construct.
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