diff --git a/07_final_assignment/.RData b/07_final_assignment/.RData
index 3c7c07c..790a63f 100644
--- a/07_final_assignment/.RData
+++ b/07_final_assignment/.RData
Binary files differ
diff --git a/07_final_assignment/baboonSimulation.R b/07_final_assignment/baboonSimulation.R
index d010c0d..568aec5 100644
--- a/07_final_assignment/baboonSimulation.R
+++ b/07_final_assignment/baboonSimulation.R
@@ -7,6 +7,7 @@
library(foreach)
library(itsadug)
library(mgcv)
+library(xtable)
enableJIT(3)
@@ -525,7 +526,8 @@
mat1 = matrix(rexp(15*15, rate=.1), ncol=15, nrow=15)
-conditions <- c("NumWordsLearned")
+conditions <- c("GeneralAccuracy", "WordAccuracy",
+ "NonwordAccuracy", "NumWordsLearned")
for(c in conditions) {
image.plot(x=sort(aseq),
@@ -679,5 +681,28 @@
anova(m2, m3)
+########################################################################################
+#### EXPORT RESULTS TO LaTeX
+########################################################################################
+
+
+data.rounded = data
+data.rounded$alpha = round(data.rounded$alpha, 3)
+data.rounded$beta = round(data.rounded$beta, 3)
+data.rounded$GeneralAccuracy = round(data.rounded$GeneralAccuracy, 2)
+data.rounded$WordAccuracy = round(data.rounded$WordAccuracy, 2)
+data.rounded$NonwordAccuracy = round(data.rounded$NonwordAccuracy, 2)
+rownames(data.rounded) = NULL
+colnames(data.rounded)[3] = "#Trials"
+colnames(data.rounded)[4] = "#LearnedW"
+colnames(data.rounded)[5] = "#PresW"
+colnames(data.rounded)[6] = "GenAcc"
+colnames(data.rounded)[7] = "WAcc"
+colnames(data.rounded)[8] = "NWAcc"
+View(data.rounded)
+
+xtable(data.rounded[1:40, ])
+xtable(data.rounded[41:80, ])
+xtable(data.rounded[81:120, ])
# EOF
diff --git a/07_final_assignment/tex/code.tex b/07_final_assignment/tex/code.tex
new file mode 100644
index 0000000..ea7dccd
--- /dev/null
+++ b/07_final_assignment/tex/code.tex
@@ -0,0 +1,7 @@
+
+\begin{lstlisting}[language=R]
+
+%TODO: simply copy/paste code from R here.
+
+\end{lstlisting}
+\newpage
\ No newline at end of file
diff --git a/07_final_assignment/tex/main.bcf b/07_final_assignment/tex/main.bcf
new file mode 100644
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diff --git a/07_final_assignment/tex/main.run.xml b/07_final_assignment/tex/main.run.xml
new file mode 100644
index 0000000..088f927
--- /dev/null
+++ b/07_final_assignment/tex/main.run.xml
@@ -0,0 +1,88 @@
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+ standard.bbx
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+ american-apa.lbx
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+ english.lbx
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diff --git a/07_final_assignment/tex/main.tex b/07_final_assignment/tex/main.tex
index 0e75387..c0cad0a 100644
--- a/07_final_assignment/tex/main.tex
+++ b/07_final_assignment/tex/main.tex
@@ -1,36 +1,44 @@
\documentclass[a4paper, 12pt]{apa6}
\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
-\usepackage[english]{babel}
-\usepackage{listings}
+\usepackage[american]{babel}
\usepackage[style=apa,sortcites=true,sorting=nyt,backend=biber]{biblatex}
-\DeclareLanguageMapping{english}{english-apa}
+\DeclareLanguageMapping{american}{american-apa}
\addbibresource{references.bib}
-
-\title{Monkey Word Learning NDL Simulation}
-\author{Robert Geirhos (3827808), Klara Grethen (3899962), David-Elias Künstle (3822829), Felicia Saar (3818590)}
+\usepackage{listings}
+\title{Simulation of Grainger et al. (2012) with Rescorla Wagner equations}
+\shorttitle{Grainger et al. (2012) simulation with RW equations}
+\author{Robert Geirhos (3827808), Klara Grethen (3899962), \\David-Elias Künstle (3822829), Felicia Saar (3818590)}
\affiliation{Linguistics for Cognitive Science Course, University of Tübingen}
-\shorttitle{}
+
\abstract{our abstract goes here!}
\begin{document}
+\maketitle
-\maketitle{}
-
-% \cite{}
+%\cite{}
\section{Introduction}
statement of the problem
\section{Simulations}
\subsection{Experimental Code}
-why we didn't use the given code, what we improved, how the result is structured - Goal: modular and comprehensive experiment.
+why we didn't use the given code, what we improved, how the result is structured - Goal: modular and comprehensive experiment. Problems with paper and given code. What's a block in our experiment.\\
+Since preliminary experiments showed that the monkeys performed with very high accuracies (>90\%), we decided to introduce a random parameter $ r $ in the experiment, defined as the fraction of times the monkey would make a random guess instead of an experience-based prediction.
\subsection{Choice of Parameters}
-choice
+\subsubsection{Number of Trials}
+The six monkeys in the original experiment participated in a different number of trials (min: 43.041, max: 61.142, mean: 52.812). For the sake of simplicity, we presented exactly 50.000 trials in each of our experiments.
+\subsubsection{Random Parameter} The random parameter $ r $ was set to 0.65, which proved to be reasonable value. That means, in 65\% of the cases the monkey would guess for either word or nonword with equal probabilities. Therefore, the maximum possible performance $ p_{max} $ is:
+$$ p_{max} = 1 - \frac{r}{2} = 0.675$$
+In other words, the maximum possible performance is no longer 1.0 (for a very intelligent monkey) but rather restricted by $ r $. If a monkey's performance is slightly better than $ p_{max} $, this is assured to be due to chance.
+\subsubsection{Alpha and Beta} Both $ \alpha $ and $ \beta $ were our independent variables which we manipulated over the course of the experiments. We gathered data for every possible combination of $ \alpha $ and $ \beta $ values within an equally spaced range from 0.0 to 0.3. A total of 15 values for each $ \alpha $ and $ \beta $ were combined to $ 15*15 = 225 $ possible combinations. Since $ \alpha $ and $ \beta $ were internally multiplied to a single value, we expected the outcome to be symmetrical due to the commutativity of the multiplication operation and therefore calculated each combination of $ \alpha $ and $ \beta $ only once, which we used as a trick to improve the overall runtime. Therefore, $\sum_{i=1}^{15}i = 120$ combinations remained to be explored.
+
+\subsubsection{Lambda} Choice of $ \lambda $
+%TODO explain choice of lambda=1, saliency
\subsection{Running Parallelized Experiments}
-Running an experiment with a single combination of $ \alpha $ and $ \beta $ on a normal desktop computer took about 75 minutes. Therefore, the parameter space one could explore within a reasonable amount of time was quite restricted. We decided to write a parallelized version of the code to reduce the overall runtime. Using the R packages foreach, parallel and doParallel (TODO: Cite them properly), we restructured the experiment. Since conflicts can easily occur when more than one core is trying to access a data structure at the same time, we implemented a parallelized version that is able to run without even having critical sections. Instead, each thread has its own data structure, a .txt file), and in the end the results are harvested and combined. This version of the experiment ran on a cluster with 15 cores, each performing a total amount of eight experiments. Alltogether, 120 combinations of $ \alpha $ and $ \beta $ were explored overnight, which would have taken about 150 hours in a non-parallelized version.
+Running an experiment with a single combination of $ \alpha $ and $ \beta $ on a normal desktop computer took about 75 minutes. Therefore, the parameter space one could explore within a reasonable amount of time was quite restricted. We decided to write a parallelized version of the code to reduce the overall runtime. Using the R packages foreach, parallel and doParallel (TODO: Cite them properly), we restructured the experiment. Since conflicts can easily occur when more than one core is trying to access a shared data structure at the same time, we implemented a parallelized version that is able to run without even containing critical sections. Instead, each thread has its own data structure, a .txt file, and in the end the results are harvested and combined. This version of the experiment ran on a cluster with 15 cores, each performing a total amount of eight experiments. Altogether, 120 combinations of $ \alpha $ and $ \beta $ were explored overnight, which would have taken about 150 hours in a non-parallelized version.
\section{Results}
results
@@ -45,18 +53,32 @@
\section{Discussion}
-discussion
+"your conclusions about what is most likely to underlie the different success rates of the baboons"
-
-\newpage
\appendix
+\section{Complete Results}
+Here are the complete results of our experiments. The abbreviations used are:
+\begin{APAitemize}
+\item \#Trials: Number of trials
+\item \#LearnedW: Number of learned words
+\item \#PresW: Number of presented words
+\item GenAcc: General accuracy
+\item WAcc: Word accuracy
+\item NWAcc: Nonword accuracy
+\end{APAitemize}
+
+\onecolumn
+\input{result_tables.tex}
+
+
+
\section{Code}
-%TODO change back to single column here
-%\input{code.tex}
+\input{code.tex}
-%\printbibliography{}
+\printbibliography{}
+
\end{document}
%%% Local Variables:
diff --git a/07_final_assignment/tex/references.bib b/07_final_assignment/tex/references.bib
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/07_final_assignment/tex/references.bib
diff --git a/07_final_assignment/tex/result_tables.tex b/07_final_assignment/tex/result_tables.tex
new file mode 100644
index 0000000..4db1312
--- /dev/null
+++ b/07_final_assignment/tex/result_tables.tex
@@ -0,0 +1,155 @@
+% latex table generated in R 3.1.0 by xtable 1.8-2 package
+% Thu Mar 31 15:21:52 2016
+\begin{table}[ht]
+\centering
+\begin{tabular}{rrrrrrrrr}
+ \hline
+ & alpha & beta & \#Trials & \#LearnedW & \#PresW & GenAcc & WAcc & NWAcc \\
+ \hline
+1 & 0.00 & 0.00 & 50000 & 307 & 7539 & 0.60 & 0.66 & 0.55 \\
+ 2 & 0.02 & 0.00 & 50000 & 307 & 7518 & 0.60 & 0.64 & 0.57 \\
+ 3 & 0.02 & 0.02 & 50000 & 307 & 7502 & 0.62 & 0.65 & 0.60 \\
+ 4 & 0.04 & 0.00 & 50000 & 306 & 7479 & 0.61 & 0.65 & 0.57 \\
+ 5 & 0.04 & 0.02 & 50000 & 306 & 7522 & 0.63 & 0.65 & 0.61 \\
+ 6 & 0.04 & 0.04 & 50000 & 301 & 7532 & 0.64 & 0.65 & 0.62 \\
+ 7 & 0.06 & 0.00 & 50000 & 307 & 7490 & 0.61 & 0.65 & 0.57 \\
+ 8 & 0.06 & 0.02 & 50000 & 307 & 7499 & 0.63 & 0.64 & 0.62 \\
+ 9 & 0.06 & 0.04 & 50000 & 307 & 7530 & 0.65 & 0.66 & 0.64 \\
+ 10 & 0.06 & 0.06 & 50000 & 292 & 7512 & 0.65 & 0.65 & 0.66 \\
+ 11 & 0.09 & 0.00 & 50000 & 289 & 7534 & 0.62 & 0.65 & 0.59 \\
+ 12 & 0.09 & 0.02 & 50000 & 297 & 7524 & 0.64 & 0.65 & 0.63 \\
+ 13 & 0.09 & 0.04 & 50000 & 306 & 7548 & 0.65 & 0.66 & 0.64 \\
+ 14 & 0.09 & 0.06 & 50000 & 307 & 7491 & 0.66 & 0.66 & 0.65 \\
+ 15 & 0.09 & 0.09 & 50000 & 307 & 7503 & 0.66 & 0.67 & 0.65 \\
+ 16 & 0.11 & 0.00 & 50000 & 307 & 7540 & 0.60 & 0.65 & 0.55 \\
+ 17 & 0.11 & 0.02 & 50000 & 307 & 7509 & 0.64 & 0.64 & 0.64 \\
+ 18 & 0.11 & 0.04 & 50000 & 298 & 7518 & 0.65 & 0.65 & 0.65 \\
+ 19 & 0.11 & 0.06 & 50000 & 307 & 7503 & 0.65 & 0.66 & 0.65 \\
+ 20 & 0.11 & 0.09 & 50000 & 307 & 7502 & 0.66 & 0.66 & 0.65 \\
+ 21 & 0.11 & 0.11 & 50000 & 307 & 7549 & 0.66 & 0.67 & 0.66 \\
+ 22 & 0.13 & 0.00 & 50000 & 300 & 7509 & 0.62 & 0.65 & 0.59 \\
+ 23 & 0.13 & 0.02 & 50000 & 307 & 7524 & 0.64 & 0.65 & 0.64 \\
+ 24 & 0.13 & 0.04 & 50000 & 304 & 7516 & 0.65 & 0.66 & 0.65 \\
+ 25 & 0.13 & 0.06 & 50000 & 277 & 7510 & 0.66 & 0.66 & 0.66 \\
+ 26 & 0.13 & 0.09 & 50000 & 307 & 7490 & 0.66 & 0.66 & 0.66 \\
+ 27 & 0.13 & 0.11 & 50000 & 307 & 7526 & 0.67 & 0.67 & 0.66 \\
+ 28 & 0.13 & 0.13 & 50000 & 307 & 7521 & 0.67 & 0.67 & 0.67 \\
+ 29 & 0.15 & 0.00 & 50000 & 298 & 7500 & 0.61 & 0.64 & 0.58 \\
+ 30 & 0.15 & 0.02 & 50000 & 307 & 7461 & 0.65 & 0.66 & 0.64 \\
+ 31 & 0.15 & 0.04 & 50000 & 307 & 7508 & 0.65 & 0.66 & 0.65 \\
+ 32 & 0.15 & 0.06 & 50000 & 297 & 7519 & 0.66 & 0.66 & 0.66 \\
+ 33 & 0.15 & 0.09 & 50000 & 307 & 7502 & 0.67 & 0.67 & 0.66 \\
+ 34 & 0.15 & 0.11 & 50000 & 307 & 7508 & 0.66 & 0.66 & 0.66 \\
+ 35 & 0.15 & 0.13 & 50000 & 307 & 7540 & 0.67 & 0.67 & 0.66 \\
+ 36 & 0.15 & 0.15 & 50000 & 307 & 7528 & 0.66 & 0.67 & 0.66 \\
+ 37 & 0.17 & 0.00 & 50000 & 307 & 7500 & 0.62 & 0.65 & 0.59 \\
+ 38 & 0.17 & 0.02 & 50000 & 294 & 7520 & 0.65 & 0.66 & 0.65 \\
+ 39 & 0.17 & 0.04 & 50000 & 307 & 7504 & 0.66 & 0.66 & 0.65 \\
+ 40 & 0.17 & 0.06 & 50000 & 307 & 7506 & 0.66 & 0.67 & 0.66 \\
+ \hline
+\end{tabular}
+\end{table}
+
+% latex table generated in R 3.1.0 by xtable 1.8-2 package
+% Thu Mar 31 15:22:04 2016
+\begin{table}[ht]
+\centering
+\begin{tabular}{rrrrrrrrr}
+ \hline
+ & alpha & beta & \#Trials & \#LearnedW & \#PresW & GenAcc & WAcc & NWAcc \\
+ \hline
+41 & 0.17 & 0.09 & 50000 & 303 & 7533 & 0.67 & 0.67 & 0.66 \\
+ 42 & 0.17 & 0.11 & 50000 & 307 & 7492 & 0.67 & 0.67 & 0.66 \\
+ 43 & 0.17 & 0.13 & 50000 & 307 & 7522 & 0.66 & 0.67 & 0.66 \\
+ 44 & 0.17 & 0.15 & 50000 & 307 & 7489 & 0.67 & 0.68 & 0.66 \\
+ 45 & 0.17 & 0.17 & 50000 & 307 & 7516 & 0.66 & 0.67 & 0.66 \\
+ 46 & 0.19 & 0.00 & 50000 & 307 & 7526 & 0.62 & 0.65 & 0.59 \\
+ 47 & 0.19 & 0.02 & 50000 & 307 & 7538 & 0.65 & 0.65 & 0.64 \\
+ 48 & 0.19 & 0.04 & 50000 & 307 & 7509 & 0.66 & 0.66 & 0.66 \\
+ 49 & 0.19 & 0.06 & 50000 & 307 & 7526 & 0.66 & 0.67 & 0.66 \\
+ 50 & 0.19 & 0.09 & 50000 & 307 & 7486 & 0.66 & 0.66 & 0.66 \\
+ 51 & 0.19 & 0.11 & 50000 & 307 & 7507 & 0.67 & 0.67 & 0.66 \\
+ 52 & 0.19 & 0.13 & 50000 & 307 & 7539 & 0.67 & 0.67 & 0.66 \\
+ 53 & 0.19 & 0.15 & 50000 & 307 & 7500 & 0.67 & 0.67 & 0.67 \\
+ 54 & 0.19 & 0.17 & 50000 & 307 & 7492 & 0.67 & 0.68 & 0.67 \\
+ 55 & 0.19 & 0.19 & 50000 & 307 & 7522 & 0.67 & 0.67 & 0.67 \\
+ 56 & 0.21 & 0.00 & 50000 & 292 & 7507 & 0.62 & 0.64 & 0.59 \\
+ 57 & 0.21 & 0.02 & 50000 & 307 & 7515 & 0.65 & 0.66 & 0.65 \\
+ 58 & 0.21 & 0.04 & 50000 & 307 & 7519 & 0.66 & 0.67 & 0.66 \\
+ 59 & 0.21 & 0.06 & 50000 & 307 & 7513 & 0.66 & 0.67 & 0.66 \\
+ 60 & 0.21 & 0.09 & 50000 & 299 & 7495 & 0.66 & 0.67 & 0.66 \\
+ 61 & 0.21 & 0.11 & 50000 & 307 & 7519 & 0.67 & 0.67 & 0.66 \\
+ 62 & 0.21 & 0.13 & 50000 & 307 & 7520 & 0.67 & 0.67 & 0.67 \\
+ 63 & 0.21 & 0.15 & 50000 & 307 & 7521 & 0.67 & 0.67 & 0.67 \\
+ 64 & 0.21 & 0.17 & 50000 & 307 & 7526 & 0.67 & 0.67 & 0.67 \\
+ 65 & 0.21 & 0.19 & 50000 & 307 & 7516 & 0.67 & 0.67 & 0.67 \\
+ 66 & 0.21 & 0.21 & 50000 & 307 & 7502 & 0.67 & 0.68 & 0.67 \\
+ 67 & 0.24 & 0.00 & 50000 & 307 & 7511 & 0.62 & 0.65 & 0.59 \\
+ 68 & 0.24 & 0.02 & 50000 & 307 & 7501 & 0.66 & 0.66 & 0.65 \\
+ 69 & 0.24 & 0.04 & 50000 & 307 & 7517 & 0.66 & 0.67 & 0.65 \\
+ 70 & 0.24 & 0.06 & 50000 & 306 & 7505 & 0.66 & 0.67 & 0.66 \\
+ 71 & 0.24 & 0.09 & 50000 & 307 & 7500 & 0.67 & 0.67 & 0.66 \\
+ 72 & 0.24 & 0.11 & 50000 & 307 & 7515 & 0.67 & 0.67 & 0.67 \\
+ 73 & 0.24 & 0.13 & 50000 & 307 & 7512 & 0.67 & 0.67 & 0.66 \\
+ 74 & 0.24 & 0.15 & 50000 & 307 & 7508 & 0.67 & 0.67 & 0.67 \\
+ 75 & 0.24 & 0.17 & 50000 & 307 & 7507 & 0.67 & 0.68 & 0.67 \\
+ 76 & 0.24 & 0.19 & 50000 & 307 & 7519 & 0.67 & 0.67 & 0.67 \\
+ 77 & 0.24 & 0.21 & 50000 & 307 & 7531 & 0.67 & 0.67 & 0.67 \\
+ 78 & 0.24 & 0.24 & 50000 & 307 & 7518 & 0.67 & 0.67 & 0.68 \\
+ 79 & 0.26 & 0.00 & 50000 & 307 & 7522 & 0.62 & 0.66 & 0.59 \\
+ 80 & 0.26 & 0.02 & 50000 & 298 & 7493 & 0.65 & 0.65 & 0.65 \\
+ \hline
+\end{tabular}
+\end{table}
+
+% latex table generated in R 3.1.0 by xtable 1.8-2 package
+% Thu Mar 31 15:22:19 2016
+\begin{table}[ht]
+\centering
+\begin{tabular}{rrrrrrrrr}
+ \hline
+ & alpha & beta & \#Trials & \#LearnedW & \#PresW & GenAcc & WAcc & NWAcc \\
+ \hline
+81 & 0.26 & 0.04 & 50000 & 307 & 7517 & 0.66 & 0.67 & 0.66 \\
+ 82 & 0.26 & 0.06 & 50000 & 307 & 7480 & 0.67 & 0.67 & 0.66 \\
+ 83 & 0.26 & 0.09 & 50000 & 307 & 7512 & 0.66 & 0.66 & 0.67 \\
+ 84 & 0.26 & 0.11 & 50000 & 307 & 7497 & 0.67 & 0.67 & 0.67 \\
+ 85 & 0.26 & 0.13 & 50000 & 307 & 7521 & 0.67 & 0.68 & 0.67 \\
+ 86 & 0.26 & 0.15 & 50000 & 307 & 7524 & 0.68 & 0.68 & 0.67 \\
+ 87 & 0.26 & 0.17 & 50000 & 307 & 7516 & 0.67 & 0.67 & 0.66 \\
+ 88 & 0.26 & 0.19 & 50000 & 307 & 7486 & 0.67 & 0.67 & 0.67 \\
+ 89 & 0.26 & 0.21 & 50000 & 307 & 7505 & 0.67 & 0.67 & 0.67 \\
+ 90 & 0.26 & 0.24 & 50000 & 307 & 7512 & 0.67 & 0.67 & 0.67 \\
+ 91 & 0.26 & 0.26 & 50000 & 307 & 7525 & 0.67 & 0.68 & 0.67 \\
+ 92 & 0.28 & 0.00 & 50000 & 295 & 7508 & 0.62 & 0.65 & 0.58 \\
+ 93 & 0.28 & 0.02 & 50000 & 307 & 7498 & 0.65 & 0.66 & 0.65 \\
+ 94 & 0.28 & 0.04 & 50000 & 306 & 7535 & 0.66 & 0.67 & 0.66 \\
+ 95 & 0.28 & 0.06 & 50000 & 307 & 7501 & 0.66 & 0.67 & 0.66 \\
+ 96 & 0.28 & 0.09 & 50000 & 307 & 7513 & 0.67 & 0.67 & 0.66 \\
+ 97 & 0.28 & 0.11 & 50000 & 307 & 7507 & 0.67 & 0.67 & 0.67 \\
+ 98 & 0.28 & 0.13 & 50000 & 307 & 7523 & 0.67 & 0.67 & 0.67 \\
+ 99 & 0.28 & 0.15 & 50000 & 307 & 7496 & 0.67 & 0.67 & 0.67 \\
+ 100 & 0.28 & 0.17 & 50000 & 307 & 7520 & 0.67 & 0.67 & 0.67 \\
+ 101 & 0.28 & 0.19 & 50000 & 306 & 7516 & 0.67 & 0.67 & 0.67 \\
+ 102 & 0.28 & 0.21 & 50000 & 307 & 7483 & 0.67 & 0.67 & 0.68 \\
+ 103 & 0.28 & 0.24 & 50000 & 302 & 7518 & 0.67 & 0.67 & 0.67 \\
+ 104 & 0.28 & 0.26 & 50000 & 307 & 7518 & 0.68 & 0.68 & 0.67 \\
+ 105 & 0.28 & 0.28 & 50000 & 307 & 7507 & 0.68 & 0.68 & 0.68 \\
+ 106 & 0.30 & 0.00 & 50000 & 300 & 7530 & 0.61 & 0.64 & 0.58 \\
+ 107 & 0.30 & 0.02 & 50000 & 298 & 7533 & 0.65 & 0.66 & 0.65 \\
+ 108 & 0.30 & 0.04 & 50000 & 307 & 7514 & 0.66 & 0.66 & 0.66 \\
+ 109 & 0.30 & 0.06 & 50000 & 307 & 7519 & 0.66 & 0.67 & 0.65 \\
+ 110 & 0.30 & 0.09 & 50000 & 307 & 7516 & 0.67 & 0.67 & 0.67 \\
+ 111 & 0.30 & 0.11 & 50000 & 307 & 7508 & 0.67 & 0.68 & 0.66 \\
+ 112 & 0.30 & 0.13 & 50000 & 307 & 7495 & 0.67 & 0.67 & 0.67 \\
+ 113 & 0.30 & 0.15 & 50000 & 307 & 7501 & 0.68 & 0.68 & 0.68 \\
+ 114 & 0.30 & 0.17 & 50000 & 307 & 7520 & 0.67 & 0.67 & 0.67 \\
+ 115 & 0.30 & 0.19 & 50000 & 307 & 7479 & 0.67 & 0.67 & 0.68 \\
+ 116 & 0.30 & 0.21 & 50000 & 307 & 7502 & 0.68 & 0.68 & 0.67 \\
+ 117 & 0.30 & 0.24 & 50000 & 307 & 7552 & 0.67 & 0.67 & 0.67 \\
+ 118 & 0.30 & 0.26 & 50000 & 307 & 7502 & 0.67 & 0.67 & 0.67 \\
+ 119 & 0.30 & 0.28 & 50000 & 307 & 7520 & 0.68 & 0.68 & 0.68 \\
+ 120 & 0.30 & 0.30 & 50000 & 307 & 7545 & 0.67 & 0.67 & 0.67 \\
+ \hline
+\end{tabular}
+\end{table}
\ No newline at end of file