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            pdftitle={Analyse HGT\_vs\_DUP JS data},
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\setlength{\droptitle}{-2em}

  \title{Analyse HGT\_vs\_DUP JS data}
    \pretitle{\vspace{\droptitle}\centering\huge}
  \posttitle{\par}
    \author{Bram van Dijk}
    \preauthor{\centering\large\emph}
  \postauthor{\par}
      \predate{\centering\large\emph}
  \postdate{\par}
    \date{12/08/2020}


\begin{document}
\maketitle

\hypertarget{r-markdown}{%
\subsection{R Markdown}\label{r-markdown}}

\hypertarget{analyse-data-from-hgt_vs_dup-javascript-implementation}{%
\section{Analyse data from HGT\_vs\_DUP (javascript
implementation)}\label{analyse-data-from-hgt_vs_dup-javascript-implementation}}

There are two types of output. Averages over time, and the raw data.
This document plots histograms of the raw data fow now. Below, give the
output file generated by the code \_raw.txt, and it plots \ldots{}
something.

\begin{Shaded}
\begin{Highlighting}[]
\NormalTok{file <-}\StringTok{ "../Output/100_raw.txt"}
\NormalTok{data <-}\StringTok{ }\KeywordTok{read.table}\NormalTok{(file,}\DataTypeTok{sep=}\StringTok{","}\NormalTok{);}

\CommentTok{# Renaming the first two columns, which are the timepoint and the variable-names}
\KeywordTok{names}\NormalTok{(data)[}\DecValTok{1}\NormalTok{] <-}\StringTok{ "time"}
\KeywordTok{names}\NormalTok{(data)[}\DecValTok{2}\NormalTok{] <-}\StringTok{ "variable"}

\CommentTok{# gathering the data into a long-format data frame structured:}
\CommentTok{# <timepoint,variable-name,value>}
\NormalTok{data <-}\StringTok{ }\KeywordTok{gather}\NormalTok{(data, key,value,}\OperatorTok{-}\KeywordTok{c}\NormalTok{(time,variable)) }\OperatorTok{%>%}\StringTok{ }\KeywordTok{select}\NormalTok{(time,variable,value)}
\end{Highlighting}
\end{Shaded}

\hypertarget{including-plots}{%
\subsection{Including Plots}\label{including-plots}}

Here, some distributions are drawn using violin plots:

\includegraphics{analyse_data_files/figure-latex/pressure-1.pdf}

Note that the \texttt{echo\ =\ FALSE} parameter was added to the code
chunk to prevent printing of the R code that generated the plot.


\end{document}
