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added other images for wiki article 'Diskriminanzanalyse'

This commit is contained in:
Martin Thoma 2014-08-20 19:23:26 -04:00
parent 327111dded
commit ac99fd24f0
14 changed files with 451 additions and 1 deletions

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@ -13,11 +13,27 @@
}
% to be used: \gauss(x)(mean)(variance)
\makeatletter \newcommand{\pgfplotsdrawaxis}{\pgfplots@draw@axis} \makeatother
\pgfplotsset{
tick label style = {font=\sansmath\sffamily},
every axis label/.append style={font=\sffamily\footnotesize},
}
\pgfplotsset{axis line on top/.style={
axis line style=transparent,
ticklabel style=transparent,
tick style=transparent,
axis on top=false,
after end axis/.append code={
\pgfplotsset{axis line style=opaque,
ticklabel style=opaque,
tick style=opaque,
grid=none}
\pgfplotsdrawaxis}
}
}
\begin{document}
\begin{preview}
\tikzstyle{plotA}=[ultra thick,red!90!black]
@ -28,7 +44,7 @@ every axis label/.append style={font=\sffamily\footnotesize},
height=8.625cm,
% Grid
grid = major,
%grid style={thin, dashed},
grid style={thin, dashed},
% size
xmin= 0, % start the diagram at this x-coordinate
xmax= 125, % end the diagram at this x-coordinate
@ -53,6 +69,8 @@ every axis label/.append style={font=\sffamily\footnotesize},
% Axis
axis lines = middle,
axis line style = very thick,
axis line on top,
axis line style = {very thick,shorten <=-0.5\pgflinewidth},
xlabel=$x$,
x label style={at={(axis description cs:0.52,0)},
anchor=north,

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@ -0,0 +1,33 @@
SOURCE = lda-gauss-intervariance-big
DELAY = 80
DENSITY = 300
WIDTH = 512
make:
pdflatex -shell-escape $(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:
#inkscape $(SOURCE).pdf --export-plain-svg=$(SOURCE).svg
pdf2svg $(SOURCE).pdf $(SOURCE)1.svg
# Necessary, as pdf2svg does not always create valid svgs:
inkscape $(SOURCE)1.svg --export-width=$(WIDTH) --export-plain-svg=$(SOURCE)1.svg
rsvg-convert -a -w 720 -f svg $(SOURCE)1.svg -o $(SOURCE).svg
rm $(SOURCE)1.svg

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@ -0,0 +1,3 @@
Compiled example
----------------
![Example](lda-gauss-intervariance-big.png)

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\documentclass[varwidth=true, border=5pt]{article}
\usepackage[active,tightpage]{preview}
\usepackage[latin1]{inputenc}
\usepackage{amsmath}
\usepackage{pgfplots}
\usepackage{tikz}
\usetikzlibrary{arrows,positioning}
\usepackage{helvet}
\usepackage[eulergreek]{sansmath}
\pgfmathdeclarefunction{gauss}{2}{%
\pgfmathparse{1/(sqrt(2*pi*#2))*exp(-((x-#1)^2)/(2*#2))}%
}
% to be used: \gauss(x)(mean)(variance)
\makeatletter \newcommand{\pgfplotsdrawaxis}{\pgfplots@draw@axis} \makeatother
\pgfplotsset{
tick label style = {font=\sansmath\sffamily},
every axis label/.append style={font=\sffamily\footnotesize},
}
\pgfplotsset{axis line on top/.style={
axis line style=transparent,
ticklabel style=transparent,
tick style=transparent,
axis on top=false,
after end axis/.append code={
\pgfplotsset{axis line style=opaque,
ticklabel style=opaque,
tick style=opaque,
grid=none}
\pgfplotsdrawaxis}
}
}
\tikzset{>=latex}
\begin{document}
\begin{preview}
\tikzstyle{plotA}=[ultra thick,red!90!black]
\tikzstyle{plotB}=[ultra thick,cyan!50!black]
\begin{tikzpicture}
\begin{axis}[
width=13.5cm,
height=8.625cm,
% Grid
grid = major,
grid style={thin, dashed},
% size
xmin= 20, % start the diagram at this x-coordinate
xmax= 105, % end the diagram at this x-coordinate
ymin= 0, % start the diagram at this y-coordinate
ymax= 0.07, % end the diagram at this y-coordinate
% Legende
legend style={
font=\large\sansmath\sffamily,
at={(0.5,-0.18)},
anchor=north,
legend cell align=left,
legend columns=-1,
column sep=0.5cm
},
% Ticks
tick align=inside,
scaled y ticks = false,
%xtick={20,30,...,100},
ytick=\empty,
% Axis
axis lines = middle,
axis line style = very thick,
axis line on top,
axis line style = {very thick,shorten <=-0.5\pgflinewidth},
xlabel=$x$,
x label style={at={(axis description cs:0.52,0)},
anchor=north,
font=\boldmath\Large},
ylabel=$f(x)$,
y label style={at={(axis description cs:0,0.5)},
anchor=south,
rotate=90,
font=\boldmath\Large},
]
% Mark means
\coordinate (axisOrigin) at (axis cs:0,0);
\coordinate (meanA) at (axis cs:80,0.063);
\draw[black,thick](meanA |- axisOrigin) -- (meanA);
\coordinate (meanB) at (axis cs:40,0.063);
\draw[black,thick](meanB |- axisOrigin) -- (meanB);
\draw[black,ultra thick,<->](axis cs:40,0.007) -- (axis cs:80,0.007);
% Plots of the distributions
\addplot [domain=0:100,samples=400,plotA] {gauss(80,40)};
\addplot [domain=0:100,samples=400,plotB] {gauss(40,40)};
% Add labels
\node[plotA,above] at (axis cs:63,0.055){\Large $\mathcal{N}(80, 40)$};
\node[plotB,above] at (axis cs:28,0.055){\Large $\mathcal{N}(40, 40)$};
\end{axis}
\end{tikzpicture}
\end{preview}
\end{document}

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@ -0,0 +1,33 @@
SOURCE = lda-gauss-intervariance
DELAY = 80
DENSITY = 300
WIDTH = 512
make:
pdflatex -shell-escape $(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:
#inkscape $(SOURCE).pdf --export-plain-svg=$(SOURCE).svg
pdf2svg $(SOURCE).pdf $(SOURCE)1.svg
# Necessary, as pdf2svg does not always create valid svgs:
inkscape $(SOURCE)1.svg --export-width=$(WIDTH) --export-plain-svg=$(SOURCE)1.svg
rsvg-convert -a -w 720 -f svg $(SOURCE)1.svg -o $(SOURCE).svg
rm $(SOURCE)1.svg

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@ -0,0 +1,3 @@
Compiled example
----------------
![Example](lda-gauss-intervariance.png)

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\documentclass[varwidth=true, border=5pt]{article}
\usepackage[active,tightpage]{preview}
\usepackage[latin1]{inputenc}
\usepackage{amsmath}
\usepackage{pgfplots}
\usepackage{tikz}
\usetikzlibrary{arrows,positioning}
\usepackage{helvet}
\usepackage[eulergreek]{sansmath}
\pgfmathdeclarefunction{gauss}{2}{%
\pgfmathparse{1/(sqrt(2*pi*#2))*exp(-((x-#1)^2)/(2*#2))}%
}
% to be used: \gauss(x)(mean)(variance)
\makeatletter \newcommand{\pgfplotsdrawaxis}{\pgfplots@draw@axis} \makeatother
\pgfplotsset{
tick label style = {font=\sansmath\sffamily},
every axis label/.append style={font=\sffamily\footnotesize},
}
\pgfplotsset{axis line on top/.style={
axis line style=transparent,
ticklabel style=transparent,
tick style=transparent,
axis on top=false,
after end axis/.append code={
\pgfplotsset{axis line style=opaque,
ticklabel style=opaque,
tick style=opaque,
grid=none}
\pgfplotsdrawaxis}
}
}
\tikzset{>=latex}
\begin{document}
\begin{preview}
\tikzstyle{plotA}=[ultra thick,red!90!black]
\tikzstyle{plotB}=[ultra thick,cyan!50!black]
\begin{tikzpicture}
\begin{axis}[
width=13.5cm,
height=8.625cm,
% Grid
grid = major,
grid style={thin, dashed},
% size
xmin= 20, % start the diagram at this x-coordinate
xmax= 105, % end the diagram at this x-coordinate
ymin= 0, % start the diagram at this y-coordinate
ymax= 0.07, % end the diagram at this y-coordinate
% Legende
legend style={
font=\large\sansmath\sffamily,
at={(0.5,-0.18)},
anchor=north,
legend cell align=left,
legend columns=-1,
column sep=0.5cm
},
% Ticks
tick align=inside,
scaled y ticks = false,
%xtick={20,30,...,100},
ytick=\empty,
% Axis
axis lines = middle,
axis line style = very thick,
axis line on top,
axis line style = {very thick,shorten <=-0.5\pgflinewidth},
xlabel=$x$,
x label style={at={(axis description cs:0.52,0)},
anchor=north,
font=\boldmath\Large},
ylabel=$f(x)$,
y label style={at={(axis description cs:0,0.5)},
anchor=south,
rotate=90,
font=\boldmath\Large},
]
% Mark means
\coordinate (axisOrigin) at (axis cs:0,0);
\coordinate (meanA) at (axis cs:50,0.063);
\draw[black,thick](meanA |- axisOrigin) -- (meanA);
\coordinate (meanB) at (axis cs:40,0.063);
\draw[black,thick](meanB |- axisOrigin) -- (meanB);
\draw[black,ultra thick,<->](axis cs:40,0.007) -- (axis cs:50,0.007);
% Plots of the distributions
\addplot [domain=0:100,samples=400,plotA] {gauss(50,40)};
\addplot [domain=0:100,samples=400,plotB] {gauss(40,40)};
% Add labels
\node[plotA,above] at (axis cs:63,0.055){\Large $\mathcal{N}(50, 40)$};
\node[plotB,above] at (axis cs:28,0.055){\Large $\mathcal{N}(40, 40)$};
\end{axis}
\end{tikzpicture}
\end{preview}
\end{document}

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@ -0,0 +1,33 @@
SOURCE = lda-gauss-variance-big
DELAY = 80
DENSITY = 300
WIDTH = 512
make:
pdflatex -shell-escape $(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:
#inkscape $(SOURCE).pdf --export-plain-svg=$(SOURCE).svg
pdf2svg $(SOURCE).pdf $(SOURCE)1.svg
# Necessary, as pdf2svg does not always create valid svgs:
inkscape $(SOURCE)1.svg --export-width=$(WIDTH) --export-plain-svg=$(SOURCE)1.svg
rsvg-convert -a -w 720 -f svg $(SOURCE)1.svg -o $(SOURCE).svg
rm $(SOURCE)1.svg

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@ -0,0 +1,3 @@
Compiled example
----------------
![Example](lda-gauss-variance-big.png)

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@ -0,0 +1,116 @@
\documentclass[varwidth=true, border=5pt]{article}
\usepackage[active,tightpage]{preview}
\usepackage[latin1]{inputenc}
\usepackage{amsmath}
\usepackage{pgfplots}
\usepackage{tikz}
\usetikzlibrary{arrows,positioning}
\usepackage{helvet}
\usepackage[eulergreek]{sansmath}
\pgfmathdeclarefunction{gauss}{2}{%
\pgfmathparse{1/(sqrt(2*pi*#2))*exp(-((x-#1)^2)/(2*#2))}%
}
% to be used: \gauss(x)(mean)(variance)
\makeatletter \newcommand{\pgfplotsdrawaxis}{\pgfplots@draw@axis} \makeatother
\pgfplotsset{
tick label style = {font=\sansmath\sffamily},
every axis label/.append style={font=\sffamily\footnotesize},
}
\pgfplotsset{axis line on top/.style={
axis line style=transparent,
ticklabel style=transparent,
tick style=transparent,
axis on top=false,
after end axis/.append code={
\pgfplotsset{axis line style=opaque,
ticklabel style=opaque,
tick style=opaque,
grid=none}
\pgfplotsdrawaxis}
}
}
\tikzset{>=latex}
\newcommand{\meanI}{80}
\newcommand{\meanII}{40}
\newcommand{\varI}{800}
\newcommand{\varII}{800}
\newcommand{\arrowHeight}{0.007}
\newcommand{\labelheight}{0.015}
\pgfmathsetmacro{\meanIheight}{1/(sqrt(2*pi*\varI))}%
\pgfmathsetmacro{\meanIIheight}{1/(sqrt(2*pi*\varII))}%
\pgfmathsetmacro{\plotheight}{max(\meanIheight, \meanIIheight, \labelheight+0.002)}%
\begin{document}
\begin{preview}
\tikzstyle{plotA}=[ultra thick,red!90!black]
\tikzstyle{plotB}=[ultra thick,cyan!50!black]
\begin{tikzpicture}
\begin{axis}[
width=13.5cm,
height=8.625cm,
% Grid
grid = major,
grid style={thin, dashed},
% size
xmin= 0, % start the diagram at this x-coordinate
xmax= 125, % end the diagram at this x-coordinate
ymin= 0, % start the diagram at this y-coordinate
ymax= \plotheight, % end the diagram at this y-coordinate
% Legende
legend style={
font=\large\sansmath\sffamily,
at={(0.5,-0.18)},
anchor=north,
legend cell align=left,
legend columns=-1,
column sep=0.5cm
},
% Ticks
tick align=inside,
scaled y ticks = false,
%xtick={20,30,...,100},
ytick=\empty,
% Axis
axis lines = middle,
axis line style = very thick,
axis line on top,
axis line style = {very thick,shorten <=-0.5\pgflinewidth},
xlabel=$x$,
x label style={at={(axis description cs:0.52,0)},
anchor=north,
font=\boldmath\Large},
ylabel=$f(x)$,
y label style={at={(axis description cs:0,0.5)},
anchor=south,
rotate=90,
font=\boldmath\Large},
]
% Mark means
\coordinate (axisOrigin) at (axis cs:0,0);
\coordinate (meanA) at (axis cs:\meanI,\meanIheight);
\draw[black,thick](meanA |- axisOrigin) -- (meanA);
\coordinate (meanB) at (axis cs:\meanII,\meanIIheight);
\draw[black,thick](meanB |- axisOrigin) -- (meanB);
\draw[black,ultra thick,<->](axis cs:{\meanI-sqrt(\varI)}, \arrowHeight) -- (axis cs:{\meanI+sqrt(\varI)},\arrowHeight);
% Plots of the distributions
\addplot [domain=0:120,samples=100,plotA] {gauss(\meanI,\varI)};
\addplot [domain=0:120,samples=100,plotB] {gauss(\meanII,\varII)};
% Add labels
\node[plotA,above] at (axis cs:\meanI,\labelheight){\Large $\mathcal{N}(\meanI, \varI)$};
\node[plotB,above] at (axis cs:\meanII,\labelheight){\Large $\mathcal{N}(\meanII, \varII)$};
\end{axis}
\end{tikzpicture}
\end{preview}
\end{document}