EliasIssaExercise9

Exercise9.R

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+#Elias Issa Exercise09
+
+#Set Working Directory
+setwd("/Users/elias/Downloads")
+#Initialize ggplot2
+library(ggplot2)
+
+#Q1
+#Load data set oxygen
+oxygen <- read.table("Oxygen.txt", header= T, sep = "\t", stringsAsFactors=FALSE)
+
+
+#Plot o2% against relative fluorescence and add a trend line, Standard error is false
+ggplot(data=oxygen, aes(x = O2, y = RF)) + geom_point() +xlab("Oxygen (%)")+ylab("Relative Fluorescence")+theme_classic()+geom_smooth(se=F,method="lm")
+
+
+#Q2
+#Load data.txt
+data <- read.table("data.txt", header= T, sep = ",", stringsAsFactors=FALSE)
+
+#Plot bar chart of mean observations for each region
+ggplot(data=data, aes(x = region, y = observations)) + geom_bar(position="dodge",stat="summary",fun= "mean") +xlab("Region")+ylab("Observations")+theme_classic()
+
+#Plot scatterplot of observations for each region
+ggplot(data=data, aes(x = region, y = observations)) + geom_point()+ geom_jitter() +xlab("Region")+ylab("Observations")+theme_classic()
+
+#The bar and scatter plots tell different sotries as based on the bar plot the data seems very similar
+#Based on the scatter plot the data is very different as they have different distributions with similar means
+#This would be reflected in other analysis such as finding the standard deviations of the data

Oxygen.txt

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+O2	RF
+0	1
+5	1.147308782
+10	1.300160514
+15	1.451612903
+20	1.542857143
+25	1.768558952
+30	1.956521739