diff --git a/Exercise07.Rproj b/Exercise07.Rproj
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index 0000000..8e3c2eb
--- /dev/null
+++ b/Exercise07.Rproj
@@ -0,0 +1,13 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX
diff --git a/Sharma_R assignment_IntrotoBiometric.R b/Sharma_R assignment_IntrotoBiometric.R
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+++ b/Sharma_R assignment_IntrotoBiometric.R	
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+#get working directory
+getwd()
+#set working directory
+setwd("/Users/pujasharma/Documents/Exercise07")
+#load csv file iris.csv
+iris_data <- read.csv(file = "iris.csv", sep = ",", header = T)
+#Write R code that will convert the comma-delimited iris.csv file 
+#to a tab-delimited version names iris.txt.
+iris_tab_delimeted <- read.csv(file = "iris.csv", sep = "", header = T)
+write.table(iris_data, "iris.txt", row.names = F,sep = "\t",)
+#2. Provide R code that creates a list of length 5.
+
+#**Ans**
+a <- c(100,200,300,400,500,600,700,800,900,1000)
+#or
+a <- seq(from=100,to=1000,by=100)
+a #a vector with length 10 containing 100, 200, . . . , 1000
+
+b <- matrix(data = c("Standford","NotreDame",24,40), nrow = 2,ncol = 2, byrow=F)
+data.frame(b)
+#b two-row, two-column data frame with the team names and final score 
+#from last week’s Notre Dame football game
+
+c <- 999 
+c #the number 999
+
+d <- matrix(data=seq(1:50), nrow = 10, ncol = 5, byrow=T)
+d #a 10-row, 5-column matrix containing integers from 1 to 50
+
+e <- c("p","q","r")#a vector containing three letters.
+e#a vector containing three letters.
+
+list(a,b,c,d,e)
+#####################
+
diff --git a/iris.txt b/iris.txt
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index 0000000..d911aeb
--- /dev/null
+++ b/iris.txt
@@ -0,0 +1,151 @@
+"Sepal.Length"	"Sepal.Width"	"Petal.Length"	"Petal.Width"	"Species"
+5.1	3.5	1.4	0.2	"setosa"
+4.9	3	1.4	0.2	"setosa"
+4.7	3.2	1.3	0.2	"setosa"
+4.6	3.1	1.5	0.2	"setosa"
+5	3.6	1.4	0.2	"setosa"
+5.4	3.9	1.7	0.4	"setosa"
+4.6	3.4	1.4	0.3	"setosa"
+5	3.4	1.5	0.2	"setosa"
+4.4	2.9	1.4	0.2	"setosa"
+4.9	3.1	1.5	0.1	"setosa"
+5.4	3.7	1.5	0.2	"setosa"
+4.8	3.4	1.6	0.2	"setosa"
+4.8	3	1.4	0.1	"setosa"
+4.3	3	1.1	0.1	"setosa"
+5.8	4	1.2	0.2	"setosa"
+5.7	4.4	1.5	0.4	"setosa"
+5.4	3.9	1.3	0.4	"setosa"
+5.1	3.5	1.4	0.3	"setosa"
+5.7	3.8	1.7	0.3	"setosa"
+5.1	3.8	1.5	0.3	"setosa"
+5.4	3.4	1.7	0.2	"setosa"
+5.1	3.7	1.5	0.4	"setosa"
+4.6	3.6	1	0.2	"setosa"
+5.1	3.3	1.7	0.5	"setosa"
+4.8	3.4	1.9	0.2	"setosa"
+5	3	1.6	0.2	"setosa"
+5	3.4	1.6	0.4	"setosa"
+5.2	3.5	1.5	0.2	"setosa"
+5.2	3.4	1.4	0.2	"setosa"
+4.7	3.2	1.6	0.2	"setosa"
+4.8	3.1	1.6	0.2	"setosa"
+5.4	3.4	1.5	0.4	"setosa"
+5.2	4.1	1.5	0.1	"setosa"
+5.5	4.2	1.4	0.2	"setosa"
+4.9	3.1	1.5	0.2	"setosa"
+5	3.2	1.2	0.2	"setosa"
+5.5	3.5	1.3	0.2	"setosa"
+4.9	3.6	1.4	0.1	"setosa"
+4.4	3	1.3	0.2	"setosa"
+5.1	3.4	1.5	0.2	"setosa"
+5	3.5	1.3	0.3	"setosa"
+4.5	2.3	1.3	0.3	"setosa"
+4.4	3.2	1.3	0.2	"setosa"
+5	3.5	1.6	0.6	"setosa"
+5.1	3.8	1.9	0.4	"setosa"
+4.8	3	1.4	0.3	"setosa"
+5.1	3.8	1.6	0.2	"setosa"
+4.6	3.2	1.4	0.2	"setosa"
+5.3	3.7	1.5	0.2	"setosa"
+5	3.3	1.4	0.2	"setosa"
+7	3.2	4.7	1.4	"versicolor"
+6.4	3.2	4.5	1.5	"versicolor"
+6.9	3.1	4.9	1.5	"versicolor"
+5.5	2.3	4	1.3	"versicolor"
+6.5	2.8	4.6	1.5	"versicolor"
+5.7	2.8	4.5	1.3	"versicolor"
+6.3	3.3	4.7	1.6	"versicolor"
+4.9	2.4	3.3	1	"versicolor"
+6.6	2.9	4.6	1.3	"versicolor"
+5.2	2.7	3.9	1.4	"versicolor"
+5	2	3.5	1	"versicolor"
+5.9	3	4.2	1.5	"versicolor"
+6	2.2	4	1	"versicolor"
+6.1	2.9	4.7	1.4	"versicolor"
+5.6	2.9	3.6	1.3	"versicolor"
+6.7	3.1	4.4	1.4	"versicolor"
+5.6	3	4.5	1.5	"versicolor"
+5.8	2.7	4.1	1	"versicolor"
+6.2	2.2	4.5	1.5	"versicolor"
+5.6	2.5	3.9	1.1	"versicolor"
+5.9	3.2	4.8	1.8	"versicolor"
+6.1	2.8	4	1.3	"versicolor"
+6.3	2.5	4.9	1.5	"versicolor"
+6.1	2.8	4.7	1.2	"versicolor"
+6.4	2.9	4.3	1.3	"versicolor"
+6.6	3	4.4	1.4	"versicolor"
+6.8	2.8	4.8	1.4	"versicolor"
+6.7	3	5	1.7	"versicolor"
+6	2.9	4.5	1.5	"versicolor"
+5.7	2.6	3.5	1	"versicolor"
+5.5	2.4	3.8	1.1	"versicolor"
+5.5	2.4	3.7	1	"versicolor"
+5.8	2.7	3.9	1.2	"versicolor"
+6	2.7	5.1	1.6	"versicolor"
+5.4	3	4.5	1.5	"versicolor"
+6	3.4	4.5	1.6	"versicolor"
+6.7	3.1	4.7	1.5	"versicolor"
+6.3	2.3	4.4	1.3	"versicolor"
+5.6	3	4.1	1.3	"versicolor"
+5.5	2.5	4	1.3	"versicolor"
+5.5	2.6	4.4	1.2	"versicolor"
+6.1	3	4.6	1.4	"versicolor"
+5.8	2.6	4	1.2	"versicolor"
+5	2.3	3.3	1	"versicolor"
+5.6	2.7	4.2	1.3	"versicolor"
+5.7	3	4.2	1.2	"versicolor"
+5.7	2.9	4.2	1.3	"versicolor"
+6.2	2.9	4.3	1.3	"versicolor"
+5.1	2.5	3	1.1	"versicolor"
+5.7	2.8	4.1	1.3	"versicolor"
+6.3	3.3	6	2.5	"virginica"
+5.8	2.7	5.1	1.9	"virginica"
+7.1	3	5.9	2.1	"virginica"
+6.3	2.9	5.6	1.8	"virginica"
+6.5	3	5.8	2.2	"virginica"
+7.6	3	6.6	2.1	"virginica"
+4.9	2.5	4.5	1.7	"virginica"
+7.3	2.9	6.3	1.8	"virginica"
+6.7	2.5	5.8	1.8	"virginica"
+7.2	3.6	6.1	2.5	"virginica"
+6.5	3.2	5.1	2	"virginica"
+6.4	2.7	5.3	1.9	"virginica"
+6.8	3	5.5	2.1	"virginica"
+5.7	2.5	5	2	"virginica"
+5.8	2.8	5.1	2.4	"virginica"
+6.4	3.2	5.3	2.3	"virginica"
+6.5	3	5.5	1.8	"virginica"
+7.7	3.8	6.7	2.2	"virginica"
+7.7	2.6	6.9	2.3	"virginica"
+6	2.2	5	1.5	"virginica"
+6.9	3.2	5.7	2.3	"virginica"
+5.6	2.8	4.9	2	"virginica"
+7.7	2.8	6.7	2	"virginica"
+6.3	2.7	4.9	1.8	"virginica"
+6.7	3.3	5.7	2.1	"virginica"
+7.2	3.2	6	1.8	"virginica"
+6.2	2.8	4.8	1.8	"virginica"
+6.1	3	4.9	1.8	"virginica"
+6.4	2.8	5.6	2.1	"virginica"
+7.2	3	5.8	1.6	"virginica"
+7.4	2.8	6.1	1.9	"virginica"
+7.9	3.8	6.4	2	"virginica"
+6.4	2.8	5.6	2.2	"virginica"
+6.3	2.8	5.1	1.5	"virginica"
+6.1	2.6	5.6	1.4	"virginica"
+7.7	3	6.1	2.3	"virginica"
+6.3	3.4	5.6	2.4	"virginica"
+6.4	3.1	5.5	1.8	"virginica"
+6	3	4.8	1.8	"virginica"
+6.9	3.1	5.4	2.1	"virginica"
+6.7	3.1	5.6	2.4	"virginica"
+6.9	3.1	5.1	2.3	"virginica"
+5.8	2.7	5.1	1.9	"virginica"
+6.8	3.2	5.9	2.3	"virginica"
+6.7	3.3	5.7	2.5	"virginica"
+6.7	3	5.2	2.3	"virginica"
+6.3	2.5	5	1.9	"virginica"
+6.5	3	5.2	2	"virginica"
+6.2	3.4	5.4	2.3	"virginica"
+5.9	3	5.1	1.8	"virginica"