New class slides

Class4/Comp_Econ_Code/Code_Examples.r

@@ -5,7 +5,7 @@
 #  so the results can reproduced more easily if the data changes.
   dir.create("Data",showWarnings = FALSE)
   dir.create("Data/Orig_Data",showWarnings = FALSE)
-  #Check if direjctory exits
+  #Check if directory exits
   dir.exists("Data/Orig_Data")
 
 # Help --------------------------------------------------------------------

Class4/Slides/Best_Practice.tex

@@ -83,9 +83,9 @@
 
 \end{frame}
 %%%%%%%%%%%%%%
-\begin{frame}{R studio Projects}
+\begin{frame}{Rstudio Projects}
 	\only<1-5>{
-	If you are using R studio it is best practice to create a project file. 
+	If you are using Rstudio it is best practice to create a project file. 
 	\begin{itemize}
 	\onslide<2->{\item Sets the working directory.}
 	\onslide<3->{\item Allows all code to use relative paths.}
@@ -124,7 +124,7 @@
 \begin{frame}{File Management}
 	\begin{itemize}
 	\onslide<1->{\item Create directories for data}
-	\onslide<2->{\item Create Directories for scripts}
+	\onslide<2->{\item Create directories for scripts}
 	\onslide<3->{\item Make code do most of the cleaning}
 	\onslide<4->{\item Clear naming of files}
 	\onslide<5->{\item Document all files with a Readme file}
@@ -145,21 +145,20 @@
     \column{0.5\textwidth}
 	\textbf{Useful Functions}
 	\begin{itemize}
-	\onslide<2->{\item \texttt{create.dir()}}
+	\onslide<2->{\item \texttt{dir.create()}}
 	\onslide<3->{\item\texttt{dir.exists()}}
 	\onslide<4->{\item\texttt{file.exists()}}
 	\onslide<5->{\item\texttt{list.files()}}
-	\onslide<6->{\item\texttt{dir.create()}}
 \end{itemize}
     \column{0.5\textwidth}
-    \onslide<7->{\textbf{Saving Data}
+    \onslide<6->{\textbf{Saving Data}
 	\begin{itemize}
-	\onslide<8->{\item \texttt{write\_csv()}}
+	\onslide<7->{\item \texttt{write\_csv()}}
-	\onslide<9->{\item \texttt{write\_excel\_csv()}}
+	\onslide<8->{\item \texttt{write\_excel\_csv()}}
-	\onslide<10->{\item\texttt{write\_delim()}}
+	\onslide<9->{\item\texttt{write\_delim()}}
-	\onslide<11->{\item\texttt{saveRDS()}}
+	\onslide<10->{\item\texttt{saveRDS()}}
-	\onslide<12->{\item\texttt{ggsave()}}
+	\onslide<11->{\item\texttt{ggsave()}}
-	\onslide<13->{\item\texttt{write.csv()}}
+	\onslide<12->{\item\texttt{write.csv()}}
 \end{itemize}
 }
 \end{columns}
@@ -175,7 +174,7 @@
 	Keep your main working space clean, and separate what you can.
 \vspace{1.5em}
     \begin{enumerate}
-	    \onslide<2->{\item Make diffrent files for each main data step. Downloading, cleaning, various analyses.}
+	    \onslide<2->{\item Make different files for each main data step. Downloading, cleaning, various analyses.}
 	    \onslide<3->{\item You can save the data downloading portion as a file called \texttt{1\_EIA\_Data\_Proc.R}}
 	    \onslide<4->{\item In the main file you could load the code with \texttt{source(``1\_EIA\_Data\_Proc.R'')}}
 	    \onslide<5->{R will run the code in the current directory even if the script is saved elsewhere.}
@@ -218,7 +217,7 @@
 	\onslide<3->{\item File names contain spaces}
 	\onslide<4->{\item Same name but different capitalization}
 	\onslide<5->{\item Names don’t describe their contents ``temp''}
-	\onslide<6->{\item Outputs should be in seperate directory from inputs}
+	\onslide<6->{\item Outputs should be in separate directory from inputs}
 	\onslide<7->{\item Outputs files should have dates in the name}
 \end{itemize}
 }

Class6/Class_Examples/apply.r

@@ -0,0 +1,8 @@
+DAT <- 1:8
+?apply
+apply(DAT,mean)
+?mapply
+x <- as.data.frame(cbind(x1 = c(3,NA,12,7), x2 = c(4:1, 2:5)) )
+dimnames(x)[[1]] <- letters[1:8]
+apply(x, 2, mean, trim = .2,na.rm=TRUE)
+?mean

Class6/Slides/Loops_Tidy.tex

@@ -0,0 +1,111 @@
+\documentclass{beamer}
+\usepackage{graphicx}
+\usepackage{multicol}
+\usepackage{hyperref}
+\usepackage{lipsum} % for placeholder text
+\graphicspath{{pdf_images/}}
+
+
+\title{ECON 4530/5530 \\ Computational Economics}
+\subtitle{Data transformation and Loops}
+\author{Alex Gebben}
+
+\begin{document}
+
+% Title Slide
+\begin{frame}
+  \titlepage
+\end{frame}
+%%%%%%%%%%%%%%%%%%
+\begin{frame}{Loops}
+	\only<1->{There are three types of loops in R }
+	\begin{enumerate}
+		\onslide<2->{	\item{A \emph{for} loop runs for each value in a list}}
+	\begin{itemize}
+		\onslide<3->{\item \texttt{for(i in 1:10){Code to run}}}
+	\end{itemize}
+	\begin{enumerate}
+		\onslide<4->{	\item{A \emph{While} loop runs if a condtion is metif a condtion is met.\emph{Can lead to infinite loops}}}
+	\begin{itemize}
+		\onslide<5->{\item \texttt{while(a==b){Code to run}}}
+	\end{itemize}
+		\onslide<4->{apply functions }
+	\begin{itemize}
+		\onslide<5->{\item \texttt{while(a==b){Code to run}}}
+	\end{itemize}
+	\end{enumerate}
+\end{frame}
+\begin{frame}{Section Comments}
+	Section comments visually separate chunks of code. It is an excellent practice to distinguish types of analysis, or groups of code.
+	\newline
+\vspace{1em}
+\onslide<2->{\includegraphics[width=\textwidth]{Section_comments.png}}
+	\newline
+\vspace{1em}
+\onslide<3->{RStudio provides a keyboard shortcut to create these headers \texttt{(Cmd/Ctrl + Shift + R)}}
+\end{frame}
+%%%%%%%%%%%%
+\begin{frame}{\emph{if} statements}
+	\only<1-8>{
+	\emph{If} only run code when certain condtions are met
+	\newline
+	\onslide<2->{	\textbf{Possible uses}}
+	\begin{enumerate}
+		\onslide<3->{\item Load a file only if it does not exist }
+		\onslide<4->{\item Switch the value of an entry}
+		\onslide<5->{\item Create a new dummy variable}
+		\onslide<6->{\item Account for changes in column names on servers}
+	\end{enumerate}
+	\onslide<7->{Can be combined with \emph{else}}
+	\newline
+	\onslide<8->{The R function \texttt{ifelse()} can be a good shortcut}
+}
+\only<9>{\includegraphics[width=0.75\textwidth]{If.png}}
+\end{frame}
+%%%%%%%%%%%%%%%%
+\begin{frame}{Class Exercise}
+Use an if statement to write a csv file in a ``Data'' directory if the folder exists, otherwise it creates the directory first.
+\end{frame}
+%%%%%%%%%%%%
+\begin{frame}{functions}
+	\only<1-6>{
+	\emph{functions} save a set of code to use later.
+	\newline
+	\onslide<2->{They are exactly the same as the functions you already use in R}
+	\onslide<3->{Must define function inputs, code and output}
+	\begin{enumerate}
+		\onslide<4->{\item Use if you repeat code more than twice }
+		\onslide<4->{\item Stores complex code avoids typos}
+		\onslide<5->{\item Can be loaded in script files}
+		\onslide<6->{\item Could be used in your own library}
+	\end{enumerate}
+}
+\only<7>{\includegraphics[width=\textwidth]{Function.png}}
+\only<8>{The \texttt{try()} function can be useful when creating your own functions. It prevents the code from stopping after a failure. Use with care.}
+\end{frame}
+%%%%%%%%%%%%%%%%
+\begin{frame}{Class Exercise}
+	Turn the previous if statement into a function. Allow the user to pass in the name of the folder that is created. 
+\end{frame}
+%%%%%%%%%%%%%%%%%%%
+\begin{frame}{Class Exercise}
+	\only<1>{\LARGE Remember proper naming of files, data and scripts. Provide clear comments.}
+\only<2>{
+	\begin{enumerate}
+\item Identify three data set you are interested in on FRED
+	\item Load one data set using a URL saved as a character variable
+	\item Create a raw data subdirectory and save the raw data into it
+	\item Clean the data, at least update the column names
+	\item Save the cleaned data as a CSV and an RDS file in a cleaned data subdirectory with proper names
+	\item Include a comment on the first line of the file explain what the code is used for and why.
+	\item Comment any other code as needed
+	\item Turn this code into a function where the user passes in the URL, and column names
+	\item Save function in a separate Rscript in a directory for scripts. Pay attention to the name
+	\item In the main directory create a Rscript and in that script load script 
+	\item Use the function to clean all three data sets 
+	\item After this add a section of code to find the mean, and summary of the data
+\end{enumerate}
+}
+\end{frame}
+
+\end{document}