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+# Exercise 08
+setwd("/Users/bethoceguera/Documents/PhD Year 1/First Semester/Introduction to Biocomputing/Exercise08")
+
+# 1. Write R code that replicates the functionality of the head function we used in bash
+data <- read.csv("iris.csv")
+data[1:6,]
+
+##DONE
+
+# 2. Load the data contained in the provided 'iris.csv' file and write R code to do the following things
+#   Print the last two rows in the last 2 columns to the R terminal
+data <- read.csv("iris.csv")
+str(data) #to check how many rows and columns (150 rows, 5 columns)
+data[149:150,4:5]
+
+#   Get the number of observations for each species included in the data set 
+setosa <- nrow(data[data$Species=="setosa",]) #Number of observations for setosa
+versicolor <- nrow(data[data$Species=="versicolor",]) #Number of observations for versicolor
+virginica <- nrow(data[data$Species=="virginica",]) # Number of observations for virginica
+#   Table summarizing results
+SummaryTable <- data.frame(Species=c("Setosa","Versicolor","Virginica"),numberObservations=c(setosa,versicolor,virginica))
+
+#   Get rows with Sepal.Width > 3.5
+SepalWidth <- data[data$Sepal.Width>3.5,]
+
+#   Write the data for the species setosa to a comma-delimited file named "setosa.csv"
+write.table((data[data$Species=="setosa",]), "setosa.csv",sep = ",")
+
+#   Write the mean, minimum, and maximum of Petal.Length for observations from virgincia
+virginicaRows <- data[data$Species=="virginica",]
+mean <- mean(virginicaRows$Petal.Length) #mean
+min <- min(virginicaRows$Petal.Length) #minimum
+max <- max(virginicaRows$Petal.Length) #max
+#   Table summarizing results
+SummTable <- data.frame(Peramter=c("Mean","Minimum","Maximum"),Value=c(mean,min,max))
+
+##DONE
+
+
+
+