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+### Problem 1 ###
+
+# Designate you working directory which contains the file of interest (you will have to do this yourself)
+
+setwd("C:/Users/Julian Najera/OneDrive - Johns Hopkins/Documents/Notre Dame/Semester 1/Introduction to Biocomputing/Biocomp_tutorial9/") 
+
+# Create a variable for the file of interest so that its contents can be used later
+
+filename <- read.csv("test.csv",header = TRUE,sep = ",",stringsAsFactors = FALSE)
+
+#Specify how many rows you would like to extract
+
+n <- 4
+
+# Displays n number of rows starting from the first row in filename
+
+filename[1:n,] 
+
+# As an example using the mtcars data frame provided by R
+
+filename1 <- mtcars 
+n1 <- 8
+filename1[1:n1,]
+
+### Problem 2 ###
+
+setwd("C:/Users/Julian Najera/OneDrive - Johns Hopkins/Documents/Notre Dame/Semester 1/Introduction to Biocomputing/Biocomp_tutorial9/")
+
+iris <- read.table("iris.csv",header = TRUE,sep = ",",stringsAsFactors = FALSE)
+
+## Part a ##
+
+# Print last 2 rows in the last 2 columns of the iris.csv file (the code provided is general)
+
+rc <- iris[(length(iris[,1])-1):length(iris[,1]),(length(iris[1,])-1):length(iris[1,])]
+rc
+
+## Part b ##
+
+# Number of Observations for each species
+
+count.setosa <- length(iris[iris$Species == "setosa",][,1])
+count.setosa
+
+count.versicolor <- length(iris[iris$Species == "versicolor",][,1])
+count.versicolor
+
+count.virginica <- length(iris[iris$Species == "virginica",][,1])
+count.virginica
+
+## Part c ##
+
+# Rows with Sepal.Width > 3.5
+
+sepal.width.condition <- iris[iris$Sepal.Width > 3.5,]
+sepal.width.condition
+
+## Part d ##
+
+# Writing data for setosa species to a new file called setosa.csv
+
+set <- iris[iris$Species == "setosa",]
+write.csv(set,"setosa.csv",row.names = FALSE)
+
+# Verify it worked
+
+read.csv("setosa.csv",header = TRUE,sep = ",",stringsAsFactors = FALSE)
+
+## Part e ##
+
+# Calculating mean, minimum, and maximum of Petal.Length
+
+mean.PetalLength <- mean(iris$Petal.Length)
+mean.PetalLength
+
+minimum.PetalLength <- min(iris$Petal.Length)
+minimum.PetalLength
+
+maximum.PetalLength <- max(iris$Petal.Length)
+maximum.PetalLength
+
+
+
+