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Tara Neufell Exercise 07 Submission #1
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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]] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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) | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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" |
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+2