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authorKarl Berry <karl@freefriends.org>2017-03-12 21:54:21 +0000
committerKarl Berry <karl@freefriends.org>2017-03-12 21:54:21 +0000
commit07604bb1d61b7ba4d6d79bfd1f68c95e29a34741 (patch)
tree894d3b55135d1befbf37958f4c161e404728d2ed /Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
parente639dabce744b5b7fc1a73bbb2af500dbfc76a16 (diff)
pst-func (12mar17)
git-svn-id: svn://tug.org/texlive/trunk@43479 c570f23f-e606-0410-a88d-b1316a301751
Diffstat (limited to 'Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex')
-rw-r--r--Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex31
1 files changed, 19 insertions, 12 deletions
diff --git a/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex b/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
index c6f152ad565..2c508068253 100644
--- a/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
+++ b/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
@@ -20,6 +20,10 @@
\psGauss[sigma=1, linecolor=blue, linewidth=2pt]{-1.75}{1.75}
\end{pspicture}}
+\usepackage[style=dtk]{biblatex}
+\addbibresource{pst-func-doc.bib}
+
+
\lstset{language=PSTricks,
morekeywords={psGammaDist,psChiIIDist,psTDist,psFDist,psBetaDist,psPlotImpl},basicstyle=\footnotesize\ttfamily}
%
@@ -1036,15 +1040,14 @@ and is predefined with 5.
\subsection{Binomial distribution}\label{sec:bindistri}
-These five macros plot binomial probability mass function \Lcs{psBinomial} and \Lcs{psBinomialC} in curve style, the normalized one is \Lcs{psBinomialN}. The cumulative distribution function $F$ \Lcs{psBinomialF} and the complement of the cumulative distribution function to one ($1-F$) \Lcs{psBinomialFS}
-It is always done in the $y$-Intervall $[0;1]$.
-Rescaling to another one can be done by setting the \Lkeyword{yunit} option
+\begin{sloppypar}
+The following five macros plot binomial probability mass function \Lcs{psBinomial} and \Lcs{psBinomialC} in curve style, the normalized one is \Lcs{psBinomialN}. The cumulative distribution function $F$ \Lcs{psBinomialF} and the complement of the cumulative distribution function ($1-F$) \Lcs{psBinomialFS}
+The vertical range for the plots is the $y$-Intervall $[0;1]$.
+Rescaling other values can be done by setting the \Lkeyword{yunit} option
to any other value.
+\end{sloppypar}
-The binomial distribution \Lcs{psBinomial} gives the discrete probability distribution $P_p(n|N)$ of obtaining
-exactly $n$ successes out of $N$ Bernoulli trials (where the result of each
-Bernoulli trial is true with probability $p$ and false with probability
-$q=1-p$. The binomial distribution is therefore given by
+The binomial distribution \Lcs{psBinomial} gives the discrete probability distribution $P_p(n|N)$ $n$ successes out of $N$ Bernoulli trials (where the result of each Bernoulli trial is true with probability $p$ and false with probability $q=1-p$). The binomial distribution is therefore given by
\begin{align}
P_p(n|N) &= \binom{N}{n}p^nq^{N-n} \\
@@ -1053,7 +1056,7 @@ P_p(n|N) &= \binom{N}{n}p^nq^{N-n} \\
where $(N; n)$ is a binomial coefficient and $P$ the probability.
-The syntax is quite easy:
+The syntax is:
\begin{BDef}
\Lcs{psBinomial}\OptArgs\Largb{N}\Largb{probability p}\\
@@ -1248,6 +1251,10 @@ valid for \Lcs{psBinomialN}. The option \Lkeyword{showpoints} is valid if \Lkeyv
+
+
+
+
\clearpage
\subsection{Poisson distribution}
Given a Poisson process\footnote{\url{http://mathworld.wolfram.com/PoissonProcess.html}},
@@ -1834,7 +1841,7 @@ The original Weierstraß function can be used with the optional argument:
\clearpage
\section{\nxLcs{psplotImp} -- plotting implicit defined functions}
For a given area, the macro calculates in a first step row by row for every pixel (1pt)
-the function $f(x,y)$ and checks for avchanging of the value from $f(x,y)<0$ to $f(x,y)>0$
+the function $f(x,y)$ and checks for a changing of the value from $f(x,y)<0$ to $f(x,y)>0$
or vice versa. If this happens, then the pixel must be part of the curve of
the function $f(x,y)=0$. In a second step the same is done column by column.
This may take some time because an area of $400\times 300$ pixel needs 120 thousand calculations
@@ -2169,10 +2176,10 @@ $f(x)$ has to be described as usual for the macro \Lcs{psplot}.
\xkvview{family=pst-func,columns={key,type,default}}
\bgroup
-\raggedright
+\RaggedRight
\nocite{*}
-\bibliographystyle{plain}
-\bibliography{pst-func-doc}
+%\bibliographystyle{plain}
+\printbibliography{pst-func-doc}
\egroup
\printindex