Introduction 1 Introduction
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1 Introduction 1 Introduction About SigmaPlot SigmaPlot 10.0 makes it easier for you to present your findings accurately using precise, publication-quality graphs, data analysis and presentation tools. SigmaPlot 10.0 offers numerous scientific options such as automatic error bars, regression lines, confidence intervals, axis breaks, technical axis scales, non-linear curve fitting and a data worksheet for powerful data handling. SigmaPlot is a state-of-the-art technical graphing program designed for the Windows platform. It is certified for Windows NT, Windows 2000, Microsoft Office 98, 2000, and Windows XP. SigmaPlot is specifically designed to aid in documenting and publishing research, specializing in the graphical presentation of results. Creating and editing graphs is easy. Just click a Graph toolbar button, pick your data with the Graph Wizard, and you can create a graph in seconds. You can also use templates to apply favorite graphs again and again. SigmaPlot 10.0 also includes a powerful nonlinear curve fitter, a huge scientific data worksheet that accommodates large data sets, summary statistics, a mathematical transform language and much more. OLE2 technology is fully supported. You can annotate graphs with the Microsoft Word Equation Editor, edit your graphs directly inside Word or PowerPoint, or plot your data with an Excel spreadsheet right inside SigmaPlot 10.0. Graph Types and Styles SigmaPlot10.0’s selectable Graph Type determines the structure of your graph. SigmaPlot 10.0 provides many different types of two- and three-dimensional Cartesian (XY and XYZ) graphs, as well as pie charts and polar plots. Graph Style determines how data is plotted on a graph. Available styles depend on the selected Graph Type. SigmaPlot 10.0’s Graph Wizard conveniently displays all available graph styles associated with each graph type. 2 Chapter 1 The Graph Style Gallery and Templates Use the SigmaPlot Graph Style Gallery create and store true graph templates using any existing graph style as the model. For more information, see “Using the Graph Style Gallery” in Chapter 4. Every graph that you add to the Graph Style Gallery is saved as a bitmap image. You can later apply this as a template for future graphs, saving you time and effort. For more information, see “Using the Graph Style Gallery” on page 157. Figure 1-1 The Graph Style Gallery Templates. The SigmaPlot 10.0 template notebook contains a variety of page layouts. Apply these predetermined template attributes to previously saved pages and graphs, or create a user-defined template. Store your templates in a SigmaPlot Notebook Template file (.JNT). You may want to create your own template notebook. For more information, see “Using Graph Pages as Templates” on page 237. 3 Introduction Graph Defaults Preset graph attribute default settings, such as size and position, font, and symbol, line and bar settings. Axis Scales Create multiple axes for 2D graphs. SigmaPlot 10.0 , by default, automatically calculates axis ranges and enables each plot to contain separate X and Y axes. Tick Marks. Use both major and minor axis tick marks and grid lines. Tick intervals, length, direction, thickness, and color are all adjustable; grid line types are also adjustable. Tick labels can be numeric, time series, or customized, using labels in a worksheet column. Axis Breaks. You can specify an axis break with a different post-break tick interval. Automatic Legends Generate legends automatically, or ungroup legends and individually customize text labels. Smooth Data Smooth sharp variations in dependent values within 2D and 3D data sets using SigmaPlot 10.0 smoothing algorithms. SigmaPlot 10.0 Worksheet The SigmaPlot 10.0 worksheet is capable of containing data up to 32,000,000 rows by 32,000 columns. Enter data in columns or rows, and perform calculations either row- wise or column-wise. Worksheet cells within columns are adjustable, and capable of holding up to 14 significant digits. Place labels, customized fill colors and patterns, and error bar direction codes into these cells in order to specify changes to graphs. 4 Chapter 1 Microsoft Excel SigmaPlot 10.0 uses automation communication standards to create and open Excel workbooks within SigmaPlot 10.0. This functionality enables you to run transforms, perform statistical tests, and graph data stored in Excel worksheets. Statistics Descriptive statistics are available for all your worksheet columns. The Statistics Worksheet lists basic statistics for all worksheet columns. Display linear regression lines with confidence and prediction intervals, chart error bars for graphs of column means, and run paired and unpaired t-tests between worksheet columns. Use the Histogram feature to compute and plot distributions for data sets. Regression Wizard The Regression Wizard steps through curve fitting, plotting, and generating a report. Transforms Modify and compute data using SigmaPlot 10.0’s comprehensive transform language. Drawing Tools Change the font, size, and style of any text, and change the color, line type, thickness, and fill pattern of graphs and drawn objects with drawing tools. Reports The SigmaPlot 10.0 Report Editor displays regression results and features complete text editing functionality. 5 Introduction New Features in SigmaPlot 10.0 New features in SigmaPlot 10.0 include: More line types. SigmaPlot now offers seven new line types for line plots and line scatter plots, free-form lines, boxes and ellipses. There are also new line types available in the Graph Properties dialog box and the Page toolbar. Use these line types in 2D and 3D graphs. More patterns. Twenty-five new fill patterns for bar charts, box plots, pie charts, area plots and free-form boxes and ellipses. New fill patterns have been implemented in the Graph Properties dialog box and the Page toolbar. Use the new fill patterns in 2D and 3D graphs. Dynamic Curve Fitting. Compliments the Regression Wizard by providing hundreds of initial parameter estimates to minimize the squared residual errors, produce individual curve fits for each, and chose the best in a matter of seconds. Greatly increase the likelihood that the answer you get is the correct answer for your data. Achieves the best fit by automatically choosing and trying numerous initial parameter estimates to find the global minimum, even if you supply a complicated model with problematic data. Solve harder problems that normally don't converge. Added New Weighting Options to Curve Fitter. Allows the choice between using reduced chi-squared weighting or not in nonlinear regression. Now you can use whichever weighting method preferred by your field. Many packages use reduced chi-square weighting but certain fields believe that this is not the correct way. New 3D Mesh Plots with Contour Projection. Allows you to put contour plots into 3D graphs to reflect the Z values of the plotted data. Select Positive Direction for Polar Plots. Now you can select a positive direction for polar plots. Automatically create both clockwise and counterclockwise polar graphs. Automatically chooses most common orientation and starting point for both types of graphs. Create clockwise graphs without having to transform your data. Automatically Graph Irregularly Spaced 3D Data. Automatically interpolate unordered 3D data. X,Y,Z data is interpolated into a grid for mesh plots. X,Y,Z data is interpolated into a grid for contour plots. Weibull Axis Scale. This new Weibull transformation scale allows you to plot Weibull distributions for Weibull analysis graphs. Reciprocal Axis Scale. New 1/x scale type. Allows creation of reciprocal scale distributions including Arrhenius Scales. 6 Chapter 1 New Axis Scales for 2D and 3D Contour Plots. Natural log, probability, logit, probit, Weibull, reciprocal. More Selectable Graph Objects. Select Grid lines - major and minor. Select Error bars. Select Break Marks. Select Drop Lines. "Click through" overlapping objects. Automatic Resizing and Positioning Groups of Graphs. Can now be used to size and/or position multiple objects simultaneously. Can now be used to change the properties of more objects. 12 New Probability Transform Functions. Gives you more powerful transforms and curve fit equations. SAS and Minitab Import. Directly import SAS data sets and export files (.sd2 and .sas7bdat files). Directly import Minitab data files and export files (up through Version 12, .mtw & .mpj files). Audit Trails. Tracks changes to notebooks and login names of users Useful for 21 CFR Part 11 change logging. Program Startup Wizard. Power users will enjoy easy access to previously used documents, quick Excel import, quick access to data base import and the ability to use older documents as templates for new work. New users will enjoy easy access to help and other tutorials while being guided through creating a blank worksheet, importing data from an excel file or other database files. Use older documents as templates for new work. Transforms In JNB File. Transforms are now kept in notebook files as JNB files for easier organization of transforms. This allows easier organization of transforms. Create Transform libraries. Associate Transforms with data sets. Protect and track changes to transforms for 21 CFR Part 11. Import Graphic Files. Load popular graphic file formats into SigmaPlot graphic page. Import BMP, JPEG, GIF, TIFF, Cursor and Icon Files, and many more. Submission Assistant. Stores an extensible list of publication requirements and is used to double check whether exported figures meet standards of publication. Also allows creation of customized output profiles. Confidence Lines and Prediction Bands in Curve Fits. Automatically generate 95% confidence and prediction bands (lines) for curve fits. No longer necessary to generate confidence bands manually. Additional piecewise-linear models for regression. SigmaPlot now provides 2, 3, 4, and 5-segment piecewise-linear models come with automatic parameter estimation. 7 Introduction Real Time Mouse-over Coordinate Feedback. Get instant feedback of graph coordinates with your mouse cursor on the graph. Selecting a plot will allow to see the exact value of the data corresponding to the data points ROC Curves.