From 169f9e863c82a0a9e31c81363d84bc47d684316b Mon Sep 17 00:00:00 2001
From: Tara Neufell <7907blueyes@taras-air.dhcp.nd.edu>
Date: Sat, 29 Oct 2022 17:08:06 -0400
Subject: [PATCH] Tara Neufell Exercise 07 Submission

---
 .RData               | Bin 0 -> 6081 bytes
 .Rhistory            |  57 ++++++++++++++++
 exercise07solution.R |  22 +++++++
 iris.txt             | 151 +++++++++++++++++++++++++++++++++++++++++++
 4 files changed, 230 insertions(+)
 create mode 100644 .RData
 create mode 100644 .Rhistory
 create mode 100644 exercise07solution.R
 create mode 100644 iris.txt

diff --git a/.RData b/.RData
new file mode 100644
index 0000000000000000000000000000000000000000..91c623a166a24059336cc1e402bbbc1d7a749766
GIT binary patch
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diff --git a/.Rhistory b/.Rhistory
new file mode 100644
index 0000000..a570e24
--- /dev/null
+++ b/.Rhistory
@@ -0,0 +1,57 @@
+a <- 1
+a
+?getwd
+?mean
+install.packages("swirl")
+library(swirl)
+x <- "dataset"
+typeof(x)
+attributes(x)
+y <- 1:10
+y
+typeof(y)
+length(y)
+z <- as.numeric(y)
+z
+typeof(z)
+vector()
+vector("character", length = 5)
+character(5)
+numeric(5)
+logical(5)
+x <- c(1, 2, 3)
+x
+x1 <- c(1L, 2L, 3L)
+y <- c(TRUE, TRUE, TRUE, FALSE)
+z <- c("Sarah", "Tracey", "Jon")
+matrix(data = 1:4, nrow = 2, ncol = 2)
+matrix(data = 1:4, nrow = 2, ncol = 2, byrow = FALSE)
+matrix(data = 1:4, nrow = 2, ncol = 2, byrow = TRUE)
+c(1:8)
+x = c(1:8)
+x = c(x, 12, 14, 16)
+x
+y = data.frame(name = c("Tara", "Therese"), favcolor = c("khaki", "purple"), favnumber = c(13, 13))
+y
+list =list(x,y)
+list
+dim(x)
+str(x)
+str(y)
+str(llist)
+str(list)
+setwd("/home/7907blueyes/Desktop/Biocomputing/R/Exercise07")
+setwd("/Users/7907blueyes/Desktop/Biocomputing/R/Exercise07")
+iris_data <- read.csv("iris.csv")
+View(iris.csv)
+read.csv("iris.csv")
+iris_data <- read.csv("iris.csv")
+view(iris_data)
+iris_data <- read.csv("iris.csv")
+View(iris_data)
+vector <- 1:8
+vector <- c(1, 2, 3, 4 ,5, 6, 7, 8)
+vector <- c(vector, 12, 14, 16)
+info <- data.frame(names= "tara", "therese")
+mylist <- list(vector,info)
+mylist[[2]]
diff --git a/exercise07solution.R b/exercise07solution.R
new file mode 100644
index 0000000..eef9a90
--- /dev/null
+++ b/exercise07solution.R
@@ -0,0 +1,22 @@
+# Tara Neufell Exercise 07 solution
+
+# Question 1
+# read iris.csv
+setwd("/Users/7907blueyes/Desktop/Biocomputing/R/Exercise07")
+iris_data <- read.csv("iris.csv")
+# convert iris.csv into a tab-delimited iris.txt file
+write.table(iris_data, "iris.txt", row.names = FALSE, sep = "\t")
+
+# Question 2
+# first vector
+vector1 <- seq(100, 1000, by = 100)
+# dataframe with football score
+dataframe = data.frame("team name" = c("Notre Dame", "Syracuse"), "final score" = c(41, 24))
+# number 
+number <- 999
+# matrix
+matrix <- matrix(nrow = 10, ncol = 5, data = 1:50)
+# vector of letters
+vector2 <- c("a", "b", "c")
+# save all components in a list
+finallist <- list(vector1, dataframe, number, matrix, vector2)
\ No newline at end of file
diff --git a/iris.txt b/iris.txt
new file mode 100644
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"