DataLab is a simple to use statistics package running under Windows 98/NT/2000/XP/Vista/Win7 offering a well-balanced mixture of data editing capabilities, visualization methods and mathematical and statistical procedures. DataLab has been developed as a small but powerful tool for data manipulation and interpretation. The methods implemented in this package have been selected from a practitioners view.

• H. Lohninger
• DATALAB
• Epina GmbH Pressbaum 2012

Keywords: statistics, visualization, regression, principal component analysis, neural networks, cluster analysis.

Features

The following list shows you the most important features of DataLab:

Data Processing

• various methods to import and export data
• support of nominal, ordinal and interval measurement scales
• built-in numerical data editor
• name generator
• sorting and mixing of data
• support of missing data
• matrix clipboard allows flexible reorganisation of data
• curve digitizer allows to convert printed diagrams into digital data

Math and Statistics

• a built-in math calculator can be used to transform the measured data
• univariate descriptors and frequency tables
• a rich set of options for scaling the data
• statistical tests (t-test, ANOVA, F-test, Kolmogorov-Smirnov, Dean-Dixon, correlation test, etc.)
• linear regression (straight line, polynomial, hyperbola, logarithmic, etc.)
• cross correlation table
• multiple linear regression
• selection of variables
• detection of multicollinearities
• ridge regression
• principal component analysis (PCA)
• principal component regression (PCR)
• partial least squares regression (PLS)
• PLS discriminant analysis (PLS-DA)
• neural networks
• KNN modelling
• hierarchical clustering (dendrograms)
• random number generator with configurable distribution of random numbers
• integration of signals
• Fast Fourier Transformation
• filter and smoothing
• time series visualization and analysis

Visualisation of Data

• displayed windows are freely configurable in size and colors
• a large number of chart types: point plots, line plots, spectra, x-y plots, contour lines, principal components, histograms, table survey, etc.
• scatter plots allow to recognize relationships among variables
• color maps to visualize three-dimensional relationships
• data can be labeled by additional class information
• zoom and pan of data
• the axes and the titles of the graphs as well as single data items can be labeled almost arbitrarily
• on-screen 3D-rotation of data

Varia

• update function to obtain free updates automatically
• control of DataLab features by external programs
• each data set can be accompanied by an HTML based comment of any length

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