diff --git a/Age Distribution of Patients.pdf b/Age Distribution of Patients.pdf
new file mode 100644
index 0000000..f9ce443
Binary files /dev/null and b/Age Distribution of Patients.pdf differ
diff --git a/All_Data_Both.csv b/All_Data_Both.csv
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--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_120.csv b/Country Y .txt to .csv Files/screen_120.csv
new file mode 100644
index 0000000..ab78613
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_120.csv	
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diff --git a/Country Y .txt to .csv Files/screen_121.csv b/Country Y .txt to .csv Files/screen_121.csv
new file mode 100644
index 0000000..f1ead77
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_121.csv	
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diff --git a/Country Y .txt to .csv Files/screen_122.csv b/Country Y .txt to .csv Files/screen_122.csv
new file mode 100644
index 0000000..b4649dc
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_123.csv b/Country Y .txt to .csv Files/screen_123.csv
new file mode 100644
index 0000000..94c3276
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_123.csv	
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diff --git a/Country Y .txt to .csv Files/screen_124.csv b/Country Y .txt to .csv Files/screen_124.csv
new file mode 100644
index 0000000..c056fb1
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_124.csv	
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new file mode 100644
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new file mode 100644
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--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_127.csv b/Country Y .txt to .csv Files/screen_127.csv
new file mode 100644
index 0000000..571630c
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_127.csv	
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diff --git a/Country Y .txt to .csv Files/screen_128.csv b/Country Y .txt to .csv Files/screen_128.csv
new file mode 100644
index 0000000..c0aa7d8
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_128.csv	
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diff --git a/Country Y .txt to .csv Files/screen_129.csv b/Country Y .txt to .csv Files/screen_129.csv
new file mode 100644
index 0000000..b653148
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_129.csv	
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diff --git a/Country Y .txt to .csv Files/screen_130.csv b/Country Y .txt to .csv Files/screen_130.csv
new file mode 100644
index 0000000..3e3ce77
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_130.csv	
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new file mode 100644
index 0000000..e53dbe9
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_134.csv b/Country Y .txt to .csv Files/screen_134.csv
new file mode 100644
index 0000000..41b788d
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_134.csv	
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diff --git a/Country Y .txt to .csv Files/screen_135.csv b/Country Y .txt to .csv Files/screen_135.csv
new file mode 100644
index 0000000..89e1657
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_135.csv	
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diff --git a/Country Y .txt to .csv Files/screen_136.csv b/Country Y .txt to .csv Files/screen_136.csv
new file mode 100644
index 0000000..3dc9e76
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_136.csv	
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new file mode 100644
index 0000000..d4b760f
--- /dev/null
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new file mode 100644
index 0000000..946bf68
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_139.csv b/Country Y .txt to .csv Files/screen_139.csv
new file mode 100644
index 0000000..53b6a6b
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_139.csv	
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diff --git a/Country Y .txt to .csv Files/screen_140.csv b/Country Y .txt to .csv Files/screen_140.csv
new file mode 100644
index 0000000..2921ae5
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_141.csv b/Country Y .txt to .csv Files/screen_141.csv
new file mode 100644
index 0000000..9fba3b7
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_142.csv b/Country Y .txt to .csv Files/screen_142.csv
new file mode 100644
index 0000000..7126f77
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_142.csv	
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diff --git a/Country Y .txt to .csv Files/screen_143.csv b/Country Y .txt to .csv Files/screen_143.csv
new file mode 100644
index 0000000..66fb3c2
--- /dev/null
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new file mode 100644
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--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_145.csv b/Country Y .txt to .csv Files/screen_145.csv
new file mode 100644
index 0000000..cfda388
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_145.csv	
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diff --git a/Country Y .txt to .csv Files/screen_146.csv b/Country Y .txt to .csv Files/screen_146.csv
new file mode 100644
index 0000000..74feeff
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_146.csv	
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diff --git a/Country Y .txt to .csv Files/screen_147.csv b/Country Y .txt to .csv Files/screen_147.csv
new file mode 100644
index 0000000..f27412a
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_148.csv b/Country Y .txt to .csv Files/screen_148.csv
new file mode 100644
index 0000000..db497b6
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_149.csv b/Country Y .txt to .csv Files/screen_149.csv
new file mode 100644
index 0000000..fca29f5
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_150.csv b/Country Y .txt to .csv Files/screen_150.csv
new file mode 100644
index 0000000..5db93eb
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_150.csv	
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diff --git a/Country Y .txt to .csv Files/screen_151.csv b/Country Y .txt to .csv Files/screen_151.csv
new file mode 100644
index 0000000..20a48ec
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_151.csv	
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diff --git a/Country Y .txt to .csv Files/screen_152.csv b/Country Y .txt to .csv Files/screen_152.csv
new file mode 100644
index 0000000..4027bd4
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_153.csv b/Country Y .txt to .csv Files/screen_153.csv
new file mode 100644
index 0000000..bdefb7f
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_153.csv	
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diff --git a/Country Y .txt to .csv Files/screen_154.csv b/Country Y .txt to .csv Files/screen_154.csv
new file mode 100644
index 0000000..a699f02
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_154.csv	
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diff --git a/Country Y .txt to .csv Files/screen_155.csv b/Country Y .txt to .csv Files/screen_155.csv
new file mode 100644
index 0000000..6f57d8e
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_156.csv b/Country Y .txt to .csv Files/screen_156.csv
new file mode 100644
index 0000000..1a7e95e
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_157.csv b/Country Y .txt to .csv Files/screen_157.csv
new file mode 100644
index 0000000..e6f0555
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_157.csv	
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diff --git a/Country Y .txt to .csv Files/screen_158.csv b/Country Y .txt to .csv Files/screen_158.csv
new file mode 100644
index 0000000..ccbb500
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_159.csv b/Country Y .txt to .csv Files/screen_159.csv
new file mode 100644
index 0000000..2d2b681
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_159.csv	
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diff --git a/Country Y .txt to .csv Files/screen_160.csv b/Country Y .txt to .csv Files/screen_160.csv
new file mode 100644
index 0000000..964b57c
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_161.csv b/Country Y .txt to .csv Files/screen_161.csv
new file mode 100644
index 0000000..f5ea2c7
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_161.csv	
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diff --git a/Country Y .txt to .csv Files/screen_162.csv b/Country Y .txt to .csv Files/screen_162.csv
new file mode 100644
index 0000000..58c1578
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_162.csv	
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new file mode 100644
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--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_163.csv	
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diff --git a/Country Y .txt to .csv Files/screen_164.csv b/Country Y .txt to .csv Files/screen_164.csv
new file mode 100644
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--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_164.csv	
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diff --git a/Country Y .txt to .csv Files/screen_165.csv b/Country Y .txt to .csv Files/screen_165.csv
new file mode 100644
index 0000000..9b82ae0
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_165.csv	
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diff --git a/Country Y .txt to .csv Files/screen_166.csv b/Country Y .txt to .csv Files/screen_166.csv
new file mode 100644
index 0000000..24e28b8
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_166.csv	
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diff --git a/Country Y .txt to .csv Files/screen_167.csv b/Country Y .txt to .csv Files/screen_167.csv
new file mode 100644
index 0000000..4d57ee9
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_167.csv	
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diff --git a/Country Y .txt to .csv Files/screen_168.csv b/Country Y .txt to .csv Files/screen_168.csv
new file mode 100644
index 0000000..ccb72bf
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_169.csv b/Country Y .txt to .csv Files/screen_169.csv
new file mode 100644
index 0000000..7935a84
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_169.csv	
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diff --git a/Country Y .txt to .csv Files/screen_170.csv b/Country Y .txt to .csv Files/screen_170.csv
new file mode 100644
index 0000000..96638f6
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_170.csv	
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diff --git a/Country Y .txt to .csv Files/screen_171.csv b/Country Y .txt to .csv Files/screen_171.csv
new file mode 100644
index 0000000..1d12425
--- /dev/null
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diff --git a/Country Y .txt to .csv Files/screen_172.csv b/Country Y .txt to .csv Files/screen_172.csv
new file mode 100644
index 0000000..522a1ca
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_172.csv	
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diff --git a/Country Y .txt to .csv Files/screen_173.csv b/Country Y .txt to .csv Files/screen_173.csv
new file mode 100644
index 0000000..9810ff5
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_173.csv	
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diff --git a/Country Y .txt to .csv Files/screen_174.csv b/Country Y .txt to .csv Files/screen_174.csv
new file mode 100644
index 0000000..f4a593b
--- /dev/null
+++ b/Country Y .txt to .csv Files/screen_174.csv	
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diff --git a/Country Y .txt to .csv Files/screen_175.csv b/Country Y .txt to .csv Files/screen_175.csv
new file mode 100644
index 0000000..a91ea33
--- /dev/null
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diff --git a/Infections Per Country Over Time Graph.pdf b/Infections Per Country Over Time Graph.pdf
new file mode 100644
index 0000000..49d9929
Binary files /dev/null and b/Infections Per Country Over Time Graph.pdf differ
diff --git a/Vaccine Graph.pdf b/Vaccine Graph.pdf
new file mode 100644
index 0000000..04edbaa
Binary files /dev/null and b/Vaccine Graph.pdf differ
diff --git a/analysis.R b/analysis.R
new file mode 100644
index 0000000..d5e0afe
--- /dev/null
+++ b/analysis.R
@@ -0,0 +1,103 @@
+#Analysis Script for R Project
+#Max Zupfer, Roman Fresquez, Rey Ortiz Bautista
+#Introduction to Biocomputing
+
+
+#Set the working directory on personal computer
+setwd("/Users/maxwellzupfer/Desktop/Biocomputing/Rproject")
+
+#Load Plots
+library(ggplot2)
+library(cowplot)
+
+#Source the supportingFunctions.R script
+source('supportingFunctions.R')
+
+#Change all files from .txt to .csv for country, use function from source: supportingFunctions.R
+TxtToCSV(directory)
+#To run on personal computer:
+TxtToCsv("/Users/maxwellzupfer/Desktop/biocomputing/Rproject/countryY/")
+
+
+#Make the Large CSV for both countries 1 and 2, use function from source: supportingFunctions.R
+#This code allows the user to decide what to do with NA's
+Combined_CSV(directory1, directory2, directory3)
+#To run on personal computer:
+Combined_CSV("/Users/maxwellzupfer/Desktop/Biocomputing/Rproject/countryX", "/Users/maxwellzupfer/Desktop/Biocomputing/Rproject/countryY", "/Users/maxwellzupfer/Desktop/Biocomputing/Rproject")
+  
+#Create a summary of the data from both countries, use function from source: supportingFunctions.R
+Data_Summary(file)
+#To run on personal computer:
+Data_Summary(All_Data_Both)
+
+#Question 1: In which country (X or Y) did the disease outbreak likely begin?
+# We determined that the disease originated in country X. 
+#This conclusion was drawn from the analysis of the graph created by the code that follows.
+#This graph visualizes the cumulative number of infected patients from each nation over time. 
+#For the first twenty days of testing, Country Y screenings returned no positive tests. 
+#However, Country X had already reported ~4000 cases of the disease by this time. 
+#This leads us to believe that the disease outbreak took place in Country X.
+
+#Code to make the graph that demonstrates the answer to question 1
+#Make a data frame to add the data to
+outbreak<- data.frame(matrix(NA,0,3))
+#Make the column names for the data frame
+Column_Names=c("dayofyear","Patients","Country")
+#Add the column names to the data frame
+colnames(outbreak)=Column_Names
+#Make a list of all the unique day numbers for country X and Y
+daysX<-unique(All_Data1$dayofyear[All_Data1$country=="X"])
+daysY<-unique(All_Data1$dayofyear[All_Data1$country=="Y"])
+#For loop that Counts the number of patients from country X that were infected with each marker and adds it to the outbreak file
+for(i in 1:length(daysX)){
+  #Look at each day of the year
+  outbreak[i,1]<-daysX[i] 
+  #Sub set the country and the day of the year
+  countryX<-All_Data1[(All_Data1$dayofyear==daysX[i]&All_Data1$country=="X"),]
+  #Sub set the patients
+  Patientsx<-countryX[(rowSums(countryX[,3:12])>0),]
+  #Number of patients for country X
+  outbreak[i,2]<-nrow(Patientsx)
+  outbreak[i,3]<-"X"
+}
+
+
+#For loop that counts the number of patients from country that were infected with each marker and adds it to the outbreak file
+for(i in 1:length(daysY)){
+  #Day of the year for country Y
+  outbreak[i+56,1]<-daysY[i]
+  #Sub set the country and the day of the year
+  countryY<-All_Data1[(All_Data1$dayofyear==daysY[i]&All_Data1$country=="Y"),]
+  #Sub set the patients
+  PatientsY<-countryY[(rowSums(countryY[,3:12])>0),]
+  #Number of patients for country Y
+  outbreak[i+56,2]<-nrow(PatientsY)
+  outbreak[i+56,3]<-"Y"
+}
+# generate dataset with day, total number of patients per day, country
+outbreak$totalPatients[1:56] <- cumsum(outbreak$Patients[1:56]) # X
+outbreak$totalPatients[57:112] <- cumsum(outbreak$Patients[57:112]) #Y
+
+# generating ggplot
+ggplot(data = outbreak, aes(x=dayofyear, y=totalPatients, group=Country,color=Country))+
+  geom_line(linewidth=0.5)+theme_classic()+ggtitle("Cumulative Infections Over Time")+xlab("Day Number")+ylab("Total Infected Patients")
+#Plot is saved under Infections Per Country Graph.pdf
+
+
+  
+#Question 2: If Country Y develops a vaccine for the disease, is it likely to work for citizens of Country X?
+#Use function from source: supportingFunctions.R
+# We have reason to believe that if a vaccine was manufactured for Country Y, it would not be effective in country X. 
+#This assumption was made following our analysis of the graph created by the function; Vaccine_Question. 
+#This graph illustrates how a majority of the infected people in Country X contain markers 1-5 in their samples while most in Country Y contain markers 6-10. 
+#This provides evidence that there are different proteins in the disease-causing agents between the two countries. 
+#For this reason, the vaccine in country Y would work to provide an immune response to proteins that aren’t as prevalent in the disease-causing agent in Country X.
+#Use function: Vaccine Question
+Vaccine_Question(file)
+#Run Function To Create Graph on personal computer
+Vaccine_Question(All_Data_Both)
+#The graphical support for this question is VaccineGraph.pdf, which demonstrates markers 01-05 are dominated by country X outbreak, and 06-10 are dominated by the country Y outbreak
+
+  
+  
+    
diff --git a/supportingFunctions.R b/supportingFunctions.R
new file mode 100644
index 0000000..8e60a05
--- /dev/null
+++ b/supportingFunctions.R
@@ -0,0 +1,141 @@
+#Supporting Functions for the analysis of the country disease outbreak R Project
+#Max Zupfer, Roman Fresquez, Rey Ortiz Bautista
+#Introduction to Biocomputing
+
+
+#The function will convert all .txt files in a directory to .csv files
+TxtToCsv=function(directory){
+  #Make a object with all of the files that are .txt and not currently comma delimited
+  countrycsv<-list.files(directory, pattern = ".txt")
+  #Set working directory to where you would like to place the new .csv files
+  setwd(directory)
+  #For loop to change each .txt file to a .csv file
+  for (i in 1:length(countrycsv)){
+    FILE<-read.table(file=countrycsv[i],header=TRUE,sep="")
+    write.table(FILE,file=paste0(directory,sub(".txt","",countrycsv[i]),".csv"),row.names=F,quote=F,sep=",")
+  }
+}
+
+#Function  that combines the data from CountryX and CountryY in a large .csv file with the option of what to do with NA rows
+Combined_CSV=function(directory1, directory2, directory3){
+  setwd(directory1)
+  All_DataX=data.frame(gender=character(), age=numeric(), marker01=numeric(), marker02=numeric(), marker03=numeric(), marker04=numeric(), marker05=numeric(), marker06=numeric(), marker07=numeric(), marker08=numeric(), marker09=numeric(), marker10=numeric(), country=character(), dayofyear=numeric())
+  #Adding X Files to the DF
+  listfilesX=list.files(pattern=".csv")
+  #For Loop to read through each X file
+  for (i in 1:length(listfilesX)){
+    X=read.csv(listfilesX[i])
+    #Add the country to each X row
+    X$country="X"
+    #Add the day of year to each row
+    X$dayofyear=as.numeric(substr(listfiles[i], 8, 10))
+    All_DataX = rbind(All_DataX, X)
+  }
+#Creating the Large .csv with all Y data from all screens
+  setwd(directory2)
+  #Creating a DF for all of the data
+  All_DataY=data.frame(gender=character(), age=numeric(), marker01=numeric(), marker02=numeric(), marker03=numeric(), marker04=numeric(), marker05=numeric(), marker06=numeric(), marker07=numeric(), marker08=numeric(), marker09=numeric(), marker10=numeric(), country=character(), dayofyear=numeric())
+  #Adding X Files to the DF
+  listfilesY=list.files(pattern=".csv")
+  #For loop to read through each Y file
+  for (i in 1:length(listfilesY)){
+    Y=read.csv(listfilesY[i])
+    #Add the country to each Y row
+    Y$country="Y"
+    #Add the day of year to each row
+    Y$dayofyear=as.numeric(substr(listfilesY[i], 8, 10))
+    All_DataY = rbind(All_DataY, Y)
+  }
+  All_Data_Both=rbind(All_DataX, All_DataY)
+  setwd(directory3)
+  #Allow the user to decide what to do with NA rows
+  print("What would you like to do with variables with NA in dataset?")
+  print("Type 1 to remove NA rows")
+  print("Type 2 to keep NA rows but display a warning")
+  print("Type 3 to keep the rows with NA without warning")
+  Number_Chosen=readline(prompt= "Type Number: ")
+  #For loop to bind data if user chooses to do nothing with the NA
+  if (Number_Chosen==3){
+    All_Data_Both= rbind(All_DataX, All_DataY)
+    write.csv(All_Data_Both, file= "All_Data_Both.csv")
+  }
+  #For loop to print a warning if the user chooses to
+  if (Number_Chosen==2){
+    All_Data_Both= rbind(All_DataX, All_DataY)
+    write.csv(All_Data_Both, file= "All_Data_Both.csv")
+    print("Warning: Rows with no data are present")
+  }
+  #For loop to remove the NA rows if the user chooses to
+  if (Number_Chosen==1){
+    All_Data_Both= rbind(All_DataX, All_DataY)
+    All_Data_Both=na.omit(All_Data_Both)
+    write.csv(All_Data_Both, file= "All_Data_Both.csv")
+  }
+}
+
+#Data Summary Function: This function will give the Total patients, total male patients, total female patients, the percentage infected, and a graph of the age distribution of patients
+Data_Summary=function(file){
+  #Remove all People over the age of 120 as that is likely impossible 
+  file=file[!(file$age>120),]
+  #To count the total number of screens run
+  Total_Screens=nrow(file)
+  #To count the number of screens for each country
+  TotalX_Screens=nrow(subset(file, file$country=="X"))
+  TotalY_Screens=nrow(subset(file, file$country=="Y"))
+  #Number of Males Screened
+  Male_Patients=nrow(subset(file, file$gender=="male"))
+  #Number of Female Patients
+  Female_Patients=nrow(subset(file, file$gender=="female"))
+  #Count the Percentage screened that were infected
+  total_infected=0
+  for (i in 1:nrow(file)){
+    Marker_Sum=sum(file[i,4:13])
+    if(Marker_Sum>=1){
+      total_infected=total_infected+1
+    }
+  }
+  Percentage_Infected=total_infected/Total_Screens
+  Age_Distribution_Plot=ggplot(All_Data_Both, aes(x=age))+geom_histogram(binwidth=1)+theme_classic()+ggtitle("Age Distribution of Patients")+xlab("Age")+ylab("Count")
+  
+  print(paste("The Total Screens taken was", Total_Screens))
+  print(paste("The total females screened was", Female_Patients))
+  print(paste("The total males screened was", Male_Patients))
+  print(paste("The total screens infected was", total_infected))
+  print(paste("The percentage of screens infected was", Percentage_Infected))
+  print(Age_Distribution_Plot)
+}
+
+
+
+#Function that answers question 2
+#Create Data Frame with Data to answer question 2
+#Create a function that looks at the given file with all of the country data
+Vaccine_Question=function(file){
+#Create a data frame that will hold the data for each country by marker, with a row for each marker in each country
+  Marker_Counts=data.frame(matrix(data=NA, nrow=20, ncol=3))
+  #Vector to be inserted as the column names in the data frame
+  vec1=c("Marker", "Count", "Country")
+  #Insert the vector as the column names
+  colnames(Marker_Counts)=vec1
+  #For loop to sum the patients in country X that were positive for each marker
+  for (i in 3:12){
+    Marker_Counts[i-2,2]=sum(file[which(file$country=="X"),i])
+  }
+  #For loop to sum the patients in country Y that were positive for each marker
+  for (i in 3:12){
+    Marker_Counts[i+8,2]=sum(file[which(file$country=="Y"),i])
+  }
+  #Insert a marker column with the labels for each
+  Marker_Counts[,1]=rep(colnames(All_Data_Both[,3:12,2]))
+  #Make the third row of the data frame have country X for the first 10 markers
+  Marker_Counts[1:10,3]="X"
+  #Make the third row of the data frame have country Y for the second set of 10 markers
+  Marker_Counts[11:20,3]="Y"
+  #Use GGplot to make a graph of the data frame
+  #We chose to display the data as one row for each marker as we believe it showed which country dominated for each marker better
+  ggplot(data=Marker_Counts, aes(x=Marker, y=Count, fill=Country))+geom_bar(stat="identity")+ggtitle("Markers Found in Each Country")+xlab("Marker Numbers")+ ylab("Number of Patients")+theme_classic()
+}
+
+
+
+