Add statistical tests figure

tikz/statistical-tests-taxonomy/Makefile

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+SOURCE = statistical-tests-taxonomy
+DELAY = 80
+DENSITY = 300
+WIDTH = 512
+
+make:
+	pdflatex $(SOURCE).tex -output-format=pdf
+	make clean
+
+clean:
+	rm -rf  $(TARGET) *.class *.html *.log *.aux *.data *.gnuplot
+
+gif:
+	pdfcrop $(SOURCE).pdf
+	convert -verbose -delay $(DELAY) -loop 0 -density $(DENSITY) $(SOURCE)-crop.pdf $(SOURCE).gif
+	make clean
+
+png:
+	make
+	make svg
+	inkscape $(SOURCE).svg -w $(WIDTH) --export-png=$(SOURCE).png
+
+transparentGif:
+	convert $(SOURCE).pdf -transparent white result.gif
+	make clean
+
+svg:
+	make
+	#inkscape $(SOURCE).pdf --export-plain-svg=$(SOURCE).svg
+	pdf2svg $(SOURCE).pdf $(SOURCE).svg
+	# Necessary, as pdf2svg does not always create valid svgs:
+	inkscape $(SOURCE).svg --export-plain-svg=$(SOURCE).svg
+	rsvg-convert -a -w $(WIDTH) -f svg $(SOURCE).svg -o $(SOURCE)2.svg
+	inkscape $(SOURCE)2.svg --export-plain-svg=$(SOURCE).svg
+	rm $(SOURCE)2.svg

tikz/statistical-tests-taxonomy/README.md

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+Compiled example
+----------------
+![Example](statistical-tests-taxonomy.png)

tikz/statistical-tests-taxonomy/statistical-tests-taxonomy.tex

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+\documentclass{article}
+\usepackage[pdftex,active,tightpage]{preview}
+\setlength\PreviewBorder{2mm}
+
+\usepackage{tikz}
+\usetikzlibrary{shapes.multipart, calc}
+
+\begin{document}
+\begin{preview}
+\begin{tikzpicture}
+    \tikzstyle{bplus}=[rectangle split, rectangle split horizontal,rectangle split ignore empty parts,draw, fill=white]
+    \tikzstyle{every node}=[bplus]
+    \tikzstyle{level 1}=[sibling distance=60mm]
+    \tikzstyle{level 2}=[sibling distance=15mm]
+
+    \node[draw=white] {\hphantom{i}}
+      child[sibling distance=80mm] {node {single domain}
+        child[sibling distance=80mm] {node {analyze classifiers}
+            child[sibling distance=40mm] {node {\parbox{2cm}{\centering predict\\classifier accuracy}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering large sample\\1}}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering small sample\\2}}}}
+            child[sibling distance=40mm] {node {\parbox{2cm}{\centering choose between classifiers}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering large sample\\3}}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering small sample\\4}}}}
+        }
+        child[sibling distance=80mm] {node {analyze algorithms}
+            child[sibling distance=40mm] {node {\parbox{2cm}{\centering predict\\algorithm accuracy}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering large sample\\5}}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering small sample\\6}}}}
+            child[sibling distance=40mm] {node {\parbox{2cm}{\centering choose between algorithms}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering large sample\\7}}}
+                child[sibling distance=20mm] {node {\parbox{1.5cm}{\centering small sample\\8}}}}
+        }
+      }
+      child[sibling distance=80mm] {node {\parbox{2cm}{\centering multiple domains\\9}}
+      };
+\end{tikzpicture}
+\end{preview}
+\end{document}