diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5b6a065 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +.Rproj.user +.Rhistory +.RData +.Ruserdata diff --git a/Exercise07_Gallo.Rproj b/Exercise07_Gallo.Rproj new file mode 100644 index 0000000..e83436a --- /dev/null +++ b/Exercise07_Gallo.Rproj @@ -0,0 +1,16 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX + +AutoAppendNewline: Yes +StripTrailingWhitespace: Yes diff --git a/Exercise_7_Gallo_script.R b/Exercise_7_Gallo_script.R new file mode 100644 index 0000000..e052853 --- /dev/null +++ b/Exercise_7_Gallo_script.R @@ -0,0 +1,26 @@ +# Hayden Gallo +# Exercise 7 Biocomputing + +iris <- read.csv('iris.csv') + +# problem 1 +# Write R code that will convert the comma-delimited iris.csv file to a tab-delimited version named iris.txt. + +write.table(iris, file = 'iris.txt', sep = '\t', row.names = TRUE) + + +# problem 2 +# Provide R code that creates a list of length 5. The list should contain the following elements: +# 1) a vector with length 10 containing 100, 200, . . . , 1000; +# 2) a two-row, two-column data frame with the team names and final score from last week’s Notre Dame football game, +# 3) the number 999, +# 4) a 10-row, 5-column matrix containing integers from 1 to 50, and +# 5) a vector containing three letters. + +prob_2_list <- list(seq(from = 100, to = 1000, by = 100), + data.frame(teams = c('Notre Dame', 'Syracuse'), score = c(41,24)), + 999, + matrix(1:50,10,5), + c('H','T','G')) + + diff --git a/iris.txt b/iris.txt new file mode 100644 index 0000000..b025810 --- /dev/null +++ b/iris.txt @@ -0,0 +1,151 @@ +"Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species" +"1" 5.1 3.5 1.4 0.2 "setosa" +"2" 4.9 3 1.4 0.2 "setosa" +"3" 4.7 3.2 1.3 0.2 "setosa" +"4" 4.6 3.1 1.5 0.2 "setosa" +"5" 5 3.6 1.4 0.2 "setosa" +"6" 5.4 3.9 1.7 0.4 "setosa" +"7" 4.6 3.4 1.4 0.3 "setosa" +"8" 5 3.4 1.5 0.2 "setosa" +"9" 4.4 2.9 1.4 0.2 "setosa" +"10" 4.9 3.1 1.5 0.1 "setosa" +"11" 5.4 3.7 1.5 0.2 "setosa" +"12" 4.8 3.4 1.6 0.2 "setosa" +"13" 4.8 3 1.4 0.1 "setosa" +"14" 4.3 3 1.1 0.1 "setosa" +"15" 5.8 4 1.2 0.2 "setosa" +"16" 5.7 4.4 1.5 0.4 "setosa" +"17" 5.4 3.9 1.3 0.4 "setosa" +"18" 5.1 3.5 1.4 0.3 "setosa" +"19" 5.7 3.8 1.7 0.3 "setosa" +"20" 5.1 3.8 1.5 0.3 "setosa" +"21" 5.4 3.4 1.7 0.2 "setosa" +"22" 5.1 3.7 1.5 0.4 "setosa" +"23" 4.6 3.6 1 0.2 "setosa" +"24" 5.1 3.3 1.7 0.5 "setosa" +"25" 4.8 3.4 1.9 0.2 "setosa" +"26" 5 3 1.6 0.2 "setosa" +"27" 5 3.4 1.6 0.4 "setosa" +"28" 5.2 3.5 1.5 0.2 "setosa" +"29" 5.2 3.4 1.4 0.2 "setosa" +"30" 4.7 3.2 1.6 0.2 "setosa" +"31" 4.8 3.1 1.6 0.2 "setosa" +"32" 5.4 3.4 1.5 0.4 "setosa" +"33" 5.2 4.1 1.5 0.1 "setosa" +"34" 5.5 4.2 1.4 0.2 "setosa" +"35" 4.9 3.1 1.5 0.2 "setosa" +"36" 5 3.2 1.2 0.2 "setosa" +"37" 5.5 3.5 1.3 0.2 "setosa" +"38" 4.9 3.6 1.4 0.1 "setosa" +"39" 4.4 3 1.3 0.2 "setosa" +"40" 5.1 3.4 1.5 0.2 "setosa" +"41" 5 3.5 1.3 0.3 "setosa" +"42" 4.5 2.3 1.3 0.3 "setosa" +"43" 4.4 3.2 1.3 0.2 "setosa" +"44" 5 3.5 1.6 0.6 "setosa" +"45" 5.1 3.8 1.9 0.4 "setosa" +"46" 4.8 3 1.4 0.3 "setosa" +"47" 5.1 3.8 1.6 0.2 "setosa" +"48" 4.6 3.2 1.4 0.2 "setosa" +"49" 5.3 3.7 1.5 0.2 "setosa" +"50" 5 3.3 1.4 0.2 "setosa" +"51" 7 3.2 4.7 1.4 "versicolor" +"52" 6.4 3.2 4.5 1.5 "versicolor" +"53" 6.9 3.1 4.9 1.5 "versicolor" +"54" 5.5 2.3 4 1.3 "versicolor" +"55" 6.5 2.8 4.6 1.5 "versicolor" +"56" 5.7 2.8 4.5 1.3 "versicolor" +"57" 6.3 3.3 4.7 1.6 "versicolor" +"58" 4.9 2.4 3.3 1 "versicolor" +"59" 6.6 2.9 4.6 1.3 "versicolor" +"60" 5.2 2.7 3.9 1.4 "versicolor" +"61" 5 2 3.5 1 "versicolor" +"62" 5.9 3 4.2 1.5 "versicolor" +"63" 6 2.2 4 1 "versicolor" +"64" 6.1 2.9 4.7 1.4 "versicolor" +"65" 5.6 2.9 3.6 1.3 "versicolor" +"66" 6.7 3.1 4.4 1.4 "versicolor" +"67" 5.6 3 4.5 1.5 "versicolor" +"68" 5.8 2.7 4.1 1 "versicolor" +"69" 6.2 2.2 4.5 1.5 "versicolor" +"70" 5.6 2.5 3.9 1.1 "versicolor" +"71" 5.9 3.2 4.8 1.8 "versicolor" +"72" 6.1 2.8 4 1.3 "versicolor" +"73" 6.3 2.5 4.9 1.5 "versicolor" +"74" 6.1 2.8 4.7 1.2 "versicolor" +"75" 6.4 2.9 4.3 1.3 "versicolor" +"76" 6.6 3 4.4 1.4 "versicolor" +"77" 6.8 2.8 4.8 1.4 "versicolor" +"78" 6.7 3 5 1.7 "versicolor" +"79" 6 2.9 4.5 1.5 "versicolor" +"80" 5.7 2.6 3.5 1 "versicolor" +"81" 5.5 2.4 3.8 1.1 "versicolor" +"82" 5.5 2.4 3.7 1 "versicolor" +"83" 5.8 2.7 3.9 1.2 "versicolor" +"84" 6 2.7 5.1 1.6 "versicolor" +"85" 5.4 3 4.5 1.5 "versicolor" +"86" 6 3.4 4.5 1.6 "versicolor" +"87" 6.7 3.1 4.7 1.5 "versicolor" +"88" 6.3 2.3 4.4 1.3 "versicolor" +"89" 5.6 3 4.1 1.3 "versicolor" +"90" 5.5 2.5 4 1.3 "versicolor" +"91" 5.5 2.6 4.4 1.2 "versicolor" +"92" 6.1 3 4.6 1.4 "versicolor" +"93" 5.8 2.6 4 1.2 "versicolor" +"94" 5 2.3 3.3 1 "versicolor" +"95" 5.6 2.7 4.2 1.3 "versicolor" +"96" 5.7 3 4.2 1.2 "versicolor" +"97" 5.7 2.9 4.2 1.3 "versicolor" +"98" 6.2 2.9 4.3 1.3 "versicolor" +"99" 5.1 2.5 3 1.1 "versicolor" +"100" 5.7 2.8 4.1 1.3 "versicolor" +"101" 6.3 3.3 6 2.5 "virginica" +"102" 5.8 2.7 5.1 1.9 "virginica" +"103" 7.1 3 5.9 2.1 "virginica" +"104" 6.3 2.9 5.6 1.8 "virginica" +"105" 6.5 3 5.8 2.2 "virginica" +"106" 7.6 3 6.6 2.1 "virginica" +"107" 4.9 2.5 4.5 1.7 "virginica" +"108" 7.3 2.9 6.3 1.8 "virginica" +"109" 6.7 2.5 5.8 1.8 "virginica" +"110" 7.2 3.6 6.1 2.5 "virginica" +"111" 6.5 3.2 5.1 2 "virginica" +"112" 6.4 2.7 5.3 1.9 "virginica" +"113" 6.8 3 5.5 2.1 "virginica" +"114" 5.7 2.5 5 2 "virginica" +"115" 5.8 2.8 5.1 2.4 "virginica" +"116" 6.4 3.2 5.3 2.3 "virginica" +"117" 6.5 3 5.5 1.8 "virginica" +"118" 7.7 3.8 6.7 2.2 "virginica" +"119" 7.7 2.6 6.9 2.3 "virginica" +"120" 6 2.2 5 1.5 "virginica" +"121" 6.9 3.2 5.7 2.3 "virginica" +"122" 5.6 2.8 4.9 2 "virginica" +"123" 7.7 2.8 6.7 2 "virginica" +"124" 6.3 2.7 4.9 1.8 "virginica" +"125" 6.7 3.3 5.7 2.1 "virginica" +"126" 7.2 3.2 6 1.8 "virginica" +"127" 6.2 2.8 4.8 1.8 "virginica" +"128" 6.1 3 4.9 1.8 "virginica" +"129" 6.4 2.8 5.6 2.1 "virginica" +"130" 7.2 3 5.8 1.6 "virginica" +"131" 7.4 2.8 6.1 1.9 "virginica" +"132" 7.9 3.8 6.4 2 "virginica" +"133" 6.4 2.8 5.6 2.2 "virginica" +"134" 6.3 2.8 5.1 1.5 "virginica" +"135" 6.1 2.6 5.6 1.4 "virginica" +"136" 7.7 3 6.1 2.3 "virginica" +"137" 6.3 3.4 5.6 2.4 "virginica" +"138" 6.4 3.1 5.5 1.8 "virginica" +"139" 6 3 4.8 1.8 "virginica" +"140" 6.9 3.1 5.4 2.1 "virginica" +"141" 6.7 3.1 5.6 2.4 "virginica" +"142" 6.9 3.1 5.1 2.3 "virginica" +"143" 5.8 2.7 5.1 1.9 "virginica" +"144" 6.8 3.2 5.9 2.3 "virginica" +"145" 6.7 3.3 5.7 2.5 "virginica" +"146" 6.7 3 5.2 2.3 "virginica" +"147" 6.3 2.5 5 1.9 "virginica" +"148" 6.5 3 5.2 2 "virginica" +"149" 6.2 3.4 5.4 2.3 "virginica" +"150" 5.9 3 5.1 1.8 "virginica"