Introduction | Problem setup | Develop the random forest classifier | Specify the response function and input space | Search region and input scaling | Define the level set of interest | Profiling the response function along some rays | Identifying the high-probability Adelie region of feature space | Slicing the level set | References

Introduction | Example: Circuit failure data | Adaptive selection of rays | Slicing input space | References

Introduction | An example | Specifying the response function and its input space | The fnObj function and class | respfn and ... arguments | feasfn, feasbnds and ... arguments | hasgrad and derivmethod arguments | inptol and resptol arguments | fnSpec class and function | Specifying the search region for a level set | Specifying search rays | Rays and hyper-rectangles | Scaling of input space dimensions | Profiling a response function along rays | Level set boundary search | bdryFromRays(): Fixed set of rays | The search algorithm | lsetSegs objects | bdrySearch(): Adaptive selection of rays | Slices of input space

An example | Main search functions | References

Introduction | Problem setup | Develop the random forest classifier | Specify the response function and input space | Search region and input scaling | Define the level set of interest | Profiling the response function along some rays | Identifying the high-probability Adelie region of feature space | Slicing the level set | References

Introduction | Example: Circuit failure data | Adaptive selection of rays | Slicing input space | References

Introduction | An example | Specifying the response function and its input space | The fnObj function and class | respfn and ... arguments | feasfn, feasbnds and ... arguments | hasgrad and derivmethod arguments | inptol and resptol arguments | fnSpec class and function | Specifying the search region for a level set | Specifying search rays | Rays and hyper-rectangles | Scaling of input space dimensions | Profiling a response function along rays | Level set boundary search | bdryFromRays(): Fixed set of rays | The search algorithm | lsetSegs objects | bdrySearch(): Adaptive selection of rays | Slices of input space

An example | Main search functions | References

Introduction | Package features | Some limitations | Logical structure of a data summary table | Remainder of this vignette | Getting started | textTables and pltdTables | Table annotation | Table size and scaling | Positioning the table on the graphics device | Grouping rows: rowheadInside and rowgroupSize | Mathematical notation in table entries | Markdown/HTML in table entries | Reference marks | Setting minimum and maximum widths for table entries | Use with table objects from other packages | Next steps | Terminology and concepts | Table parts | The augmented row-column grid; table cells | The hierarchical structure of headers | Table elements: entries, blocks, hvrules | Entries | Blocks of cells | Horizontal and vertical rules (hvrules) | Styles | Confusing conventions | Customizing textTables and pltdTables | Modifying a textTable | Modifying a pltdTable | Changing style and scale | Viewing the elements of a plotted table | Fine-tuning graphical properties of table elements: props functions | Adding blocks or hvrules | Adding reference marks | Modifications at the ggplot2 level | Setting default styles: tablesggSetOpt | More about styles | Style specification and matching: Entry and block styles | Style specification and matching: hvrule styles | Editing or creating styles | Appendix A: textTable objects | Appendix B: Blocks associated with row and column headers | B.1 Header blocks with subtypes A, B, and C | B.2 Row header blocks when plot argument rowheadInside is TRUE | B.3 Blocks representing groups of rows (rowgroupSize > 0) | Appendix C: Setting minimum and maximum widths for table entries | minwidth | maxwidth and automatic text wrapping | Appendix D: Tables as graphs | References