From 39ea8ba5320419d9e179c15e62a1fdb077e45081 Mon Sep 17 00:00:00 2001 From: KroezeND Date: Thu, 17 Nov 2022 21:11:37 -0500 Subject: [PATCH 1/3] HW Changes --- Exercise9.R | 37 ++++++++ researchData.csv | 242 +++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 279 insertions(+) create mode 100644 Exercise9.R create mode 100644 researchData.csv diff --git a/Exercise9.R b/Exercise9.R new file mode 100644 index 0000000..da53e1b --- /dev/null +++ b/Exercise9.R @@ -0,0 +1,37 @@ +# Nathan Kroeze +# Exercise 9 +# 11/18/2022 + +library(tidyverse) + +# Q1: Enter those data into a text file or Excel and then +# save a text file, and write a script that loads this text file and produces a scatter plot of those two variables +# that includes a trend line. + +setwd("C:/Users/Natha/Desktop/Biocomputing/Exercise09/") +researchData <- read.csv("researchData.csv") +researchData <- researchData[,-1] #remove count column + +ggplot(researchData, aes(d13C,d15N)) + + geom_jitter() + geom_smooth(method = "lm") + + labs(title = "Research Isotope Data") + +# Q2: Write a script that generates two figures that sumamrize the data. First, show +# a barplot of the means of the four populations. Second, show a scatter plot of all of the observations. + +dataEx <- read.table("data.txt",header = TRUE, sep = ",") + +ggplot(data = dataEx, aes(x=region,y=observations)) + + stat_summary(geom = "bar",fun = "mean") + + xlab("Region") + ylab("Means of Populations") + theme_bw() + +ggplot(data = dataEx, aes(x=region,y=observations)) + + geom_jitter() + + xlab("Region") + ylab("Observations") + theme_bw() + +# Answers: +# The plots tell different stories because the bar plot demonstrates that the average population for +# each region is roughly the same, however the scatter plot shows that the variance in these data are not +# consistent across regions. For example, the western region has a wide variance of observations but +# the northern region has a narrow densely populated band. This difference is lost in the bar plot and +# would have been missed if not plotted separately. diff --git a/researchData.csv b/researchData.csv new file mode 100644 index 0000000..996a6a6 --- /dev/null +++ b/researchData.csv @@ -0,0 +1,242 @@ +"","d15N","d13C" +"1",5.3,-28.9 +"2",4,-28.8 +"3",3.1,-28.8 +"4",3.5,-25.1 +"5",3.1,-27.1 +"6",3.2,-28.1 +"7",2.2,-28.1 +"8",3,-27.4 +"9",2.4,-28.7 +"10",3,-26.2 +"11",3,-26.7 +"12",3.1,-27.4 +"13",4.5,-26.4 +"14",3.3,-27.8 +"15",3.3,-28.5 +"16",3.2,-27.3 +"17",3,-26.4 +"18",3,-27.4 +"19",2.8,-22.7 +"20",3.9,-23.3 +"21",3.4,-22.4 +"22",3.7,-28 +"23",3.6,-28.8 +"24",3.3,-28.4 +"25",5.3,-28 +"26",3.5,-28.2 +"27",3.5,-29.1 +"28",3.1,-28.8 +"29",3.2,-28.9 +"30",2.9,-29 +"31",4.2,-20.3 +"32",4.2,-22.6 +"33",4.4,-24.4 +"34",2.8,-26.6 +"35",2.8,-28.4 +"36",3.1,-28.5 +"37",5,-27.5 +"38",3.7,-26.1 +"39",2.7,-28.5 +"40",2.5,-28.9 +"41",2.9,-27.5 +"42",2.1,-28.9 +"43",1.2,-26.8 +"44",2.2,-28.5 +"45",2.2,-28.3 +"46",3.6,-15.9 +"47",3.8,-16.8 +"48",3,-22.3 +"49",5.5,-24.7 +"50",3.6,-26.7 +"51",3,-27.2 +"52",3.5,-28.1 +"53",3,-28.6 +"54",3,-29.2 +"55",1.9,-27.3 +"56",3,-28.7 +"57",2.8,-29.2 +"58",2.1,-26.8 +"59",2.7,-28.5 +"60",2.4,-28.5 +"61",5.9,-27.2 +"62",4.4,-27 +"63",3.8,-28.1 +"64",3.9,-26.4 +"65",4.1,-27.1 +"66",4.2,-27.8 +"67",2.9,-26.6 +"68",3,-27 +"69",2.9,-28 +"70",3.1,-27.6 +"71",3,-28.8 +"72",2.5,-29.1 +"73",6.1,-20 +"74",3.3,-28.1 +"75",3.2,-28.5 +"76",3.6,-28.2 +"77",4,-28.2 +"78",3.7,-28.6 +"79",1.4,-28.3 +"80",1.5,-27.4 +"81",2.4,-28.2 +"82",3.4,-23 +"83",3.9,-22.9 +"84",3.5,-24.6 +"85",1.5,-27.9 +"86",3.6,-28.5 +"87",2.7,-28.5 +"88",2.9,-26.8 +"89",2.9,-28.1 +"90",2.9,-28.6 +"91",2.5,-26.8 +"92",2.3,-29.1 +"93",2.6,-28.9 +"94",2.2,-27.6 +"95",2.5,-28.6 +"96",2.7,-28.9 +"97",3.4,-24.8 +"98",3.9,-27.1 +"99",4.4,-28.3 +"100",2.1,-26.1 +"101",3.2,-28.8 +"102",3.4,-28.8 +"103",2.6,-27.5 +"104",2.9,-29.2 +"105",2.9,-29.1 +"106",2.4,-28.9 +"107",2.8,-28.8 +"108",2.8,-29 +"109",2.9,-28.9 +"110",3.3,-29.1 +"111",3.9,-29.1 +"112",3.1,-28.2 +"113",2.9,-29.2 +"114",3,-29.5 +"115",3.4,-28.9 +"116",3,-27.9 +"117",3.2,-28.7 +"118",2.3,-28.2 +"119",2.2,-29.1 +"120",2.5,-29.3 +"121",3.3,-28 +"122",3,-29.1 +"123",3.5,-29 +"124",3.5,-27.8 +"125",3.3,-30.7 +"126",2.6,-30.7 +"127",3.2,-27 +"128",2.9,-27.6 +"129",2.7,-28.4 +"130",3,-26.9 +"131",2.7,-28.2 +"132",2,-29.3 +"133",3,-26.2 +"134",3.2,-28.1 +"135",4,-28.3 +"136",3.1,-23 +"137",3.5,-27.9 +"138",3.3,-28.1 +"139",2.9,-25.4 +"140",2.6,-26.9 +"141",2.4,-28.2 +"142",3.4,-24.4 +"143",3.7,-25.4 +"144",3.1,-26.5 +"145",2.7,-27.9 +"146",2.7,-28.6 +"147",3,-28.5 +"148",3.8,-22.3 +"149",4,-26.3 +"150",3.5,-27 +"151",2.8,-27.7 +"152",3,-28.3 +"153",2.6,-28.5 +"154",3.2,-23.7 +"155",3.5,-25.2 +"156",3.2,-26.9 +"157",1.7,-26.2 +"158",2.5,-27.2 +"159",3.8,-28.4 +"160",3.9,-25.6 +"161",3.4,-27.1 +"162",3,-26.8 +"163",3.4,-26.1 +"164",3.3,-27.8 +"165",3.6,-28.2 +"166",2.4,-28 +"167",2.3,-29 +"168",2.5,-29.1 +"169",2.7,-23.4 +"170",2.8,-26.5 +"171",3.4,-28 +"172",2.8,-26.6 +"173",2.9,-26.7 +"174",2,-29.2 +"175",2,-27.4 +"176",2.5,-28.4 +"177",1.9,-28.5 +"178",2.3,-29.1 +"179",2.8,-27.5 +"180",2.3,-28.8 +"181",2.6,-25.3 +"182",2.6,-24.5 +"183",2.9,-27.8 +"184",4.2,-29.4 +"185",3.7,-29.9 +"186",2.7,-29.5 +"187",3.6,-14.5 +"188",3.2,-14.4 +"189",3.3,-14.3 +"190",3.7,-14.3 +"191",3.7,-13.8 +"192",3.8,-14.3 +"193",2.9,-30.1 +"194",3.8,-30.3 +"195",3.3,-30.1 +"196",3,-29.8 +"197",4.4,-29.5 +"198",2.9,-29.4 +"199",3.4,-14.5 +"200",3.2,-13.9 +"201",2.8,-14.2 +"202",2.3,-29.8 +"203",2,-30 +"204",1.4,-29.2 +"205",3.4,-13.9 +"206",2.3,-13.4 +"207",1.9,-13.6 +"208",1.5,-29.6 +"209",3,-30.2 +"210",1.3,-29.6 +"211",4,-14.5 +"212",3.3,-14.1 +"213",3,-14.2 +"214",3.1,-29.5 +"215",2.9,-31.2 +"216",3.3,-13.9 +"217",3.3,-29.3 +"218",1.8,-29.5 +"219",3.8,-14.3 +"220",2.3,-29.5 +"221",5.2,-29.6 +"222",4.7,-14.1 +"223",2.6,-29.8 +"224",2.1,-29.4 +"225",2.7,-28.7 +"226",3.6,-30.2 +"227",2.6,-29.8 +"228",2.1,-28.7 +"229",2.9,-29.2 +"230",1.7,-29.7 +"231",2.9,-29.6 +"232",3.5,-14.2 +"233",3.5,-29 +"234",3.4,-27.7 +"235",1.8,-29.3 +"236",2.4,-28.8 +"237",2.2,-28.6 +"238",2.4,-29.1 +"239",2.9,-25.7 +"240",3.1,-27.8 +"241",3,-28.1 From 16e2d5b0295798cb8aeabbed6fdde0a50cd9b8ac Mon Sep 17 00:00:00 2001 From: Nate Kroeze Date: Thu, 17 Nov 2022 21:15:57 -0500 Subject: [PATCH 2/3] HW Changes --- Exercise9.R | 74 ++++---- researchData.csv | 484 +++++++++++++++++++++++------------------------ researchData.txt | 242 ++++++++++++++++++++++++ 3 files changed, 521 insertions(+), 279 deletions(-) create mode 100644 researchData.txt diff --git a/Exercise9.R b/Exercise9.R index da53e1b..d6d3029 100644 --- a/Exercise9.R +++ b/Exercise9.R @@ -1,37 +1,37 @@ -# Nathan Kroeze -# Exercise 9 -# 11/18/2022 - -library(tidyverse) - -# Q1: Enter those data into a text file or Excel and then -# save a text file, and write a script that loads this text file and produces a scatter plot of those two variables -# that includes a trend line. - -setwd("C:/Users/Natha/Desktop/Biocomputing/Exercise09/") -researchData <- read.csv("researchData.csv") -researchData <- researchData[,-1] #remove count column - -ggplot(researchData, aes(d13C,d15N)) + - geom_jitter() + geom_smooth(method = "lm") + - labs(title = "Research Isotope Data") - -# Q2: Write a script that generates two figures that sumamrize the data. First, show -# a barplot of the means of the four populations. Second, show a scatter plot of all of the observations. - -dataEx <- read.table("data.txt",header = TRUE, sep = ",") - -ggplot(data = dataEx, aes(x=region,y=observations)) + - stat_summary(geom = "bar",fun = "mean") + - xlab("Region") + ylab("Means of Populations") + theme_bw() - -ggplot(data = dataEx, aes(x=region,y=observations)) + - geom_jitter() + - xlab("Region") + ylab("Observations") + theme_bw() - -# Answers: -# The plots tell different stories because the bar plot demonstrates that the average population for -# each region is roughly the same, however the scatter plot shows that the variance in these data are not -# consistent across regions. For example, the western region has a wide variance of observations but -# the northern region has a narrow densely populated band. This difference is lost in the bar plot and -# would have been missed if not plotted separately. +# Nathan Kroeze +# Exercise 9 +# 11/18/2022 + +library(tidyverse) + +# Q1: Enter those data into a text file or Excel and then +# save a text file, and write a script that loads this text file and produces a scatter plot of those two variables +# that includes a trend line. + +setwd("C:/Users/Natha/Desktop/Biocomputing/Exercise09/") +researchData <- read.csv("researchData.csv") +researchData <- researchData[,-1] #remove count column + +ggplot(researchData, aes(d13C,d15N)) + + geom_jitter() + geom_smooth(method = "lm") + + labs(title = "Research Isotope Data") + +# Q2: Write a script that generates two figures that sumamrize the data. First, show +# a barplot of the means of the four populations. Second, show a scatter plot of all of the observations. + +dataEx <- read.table("data.txt",header = TRUE, sep = ",") + +ggplot(data = dataEx, aes(x=region,y=observations)) + + stat_summary(geom = "bar",fun = "mean") + + xlab("Region") + ylab("Means of Populations") + theme_bw() + +ggplot(data = dataEx, aes(x=region,y=observations)) + + geom_jitter() + + xlab("Region") + ylab("Observations") + theme_bw() + +# Answers: +# The plots tell different stories because the bar plot demonstrates that the average population for +# each region is roughly the same, however the scatter plot shows that the variance in these data are not +# consistent across regions. For example, the western region has a wide variance of observations but +# the northern region has a narrow densely populated band. This difference is lost in the bar plot and +# would have been missed if not plotted separately. diff --git a/researchData.csv b/researchData.csv index 996a6a6..89aecd5 100644 --- a/researchData.csv +++ b/researchData.csv @@ -1,242 +1,242 @@ -"","d15N","d13C" -"1",5.3,-28.9 -"2",4,-28.8 -"3",3.1,-28.8 -"4",3.5,-25.1 -"5",3.1,-27.1 -"6",3.2,-28.1 -"7",2.2,-28.1 -"8",3,-27.4 -"9",2.4,-28.7 -"10",3,-26.2 -"11",3,-26.7 -"12",3.1,-27.4 -"13",4.5,-26.4 -"14",3.3,-27.8 -"15",3.3,-28.5 -"16",3.2,-27.3 -"17",3,-26.4 -"18",3,-27.4 -"19",2.8,-22.7 -"20",3.9,-23.3 -"21",3.4,-22.4 -"22",3.7,-28 -"23",3.6,-28.8 -"24",3.3,-28.4 -"25",5.3,-28 -"26",3.5,-28.2 -"27",3.5,-29.1 -"28",3.1,-28.8 -"29",3.2,-28.9 -"30",2.9,-29 -"31",4.2,-20.3 -"32",4.2,-22.6 -"33",4.4,-24.4 -"34",2.8,-26.6 -"35",2.8,-28.4 -"36",3.1,-28.5 -"37",5,-27.5 -"38",3.7,-26.1 -"39",2.7,-28.5 -"40",2.5,-28.9 -"41",2.9,-27.5 -"42",2.1,-28.9 -"43",1.2,-26.8 -"44",2.2,-28.5 -"45",2.2,-28.3 -"46",3.6,-15.9 -"47",3.8,-16.8 -"48",3,-22.3 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-29 +"234" 3.4 -27.7 +"235" 1.8 -29.3 +"236" 2.4 -28.8 +"237" 2.2 -28.6 +"238" 2.4 -29.1 +"239" 2.9 -25.7 +"240" 3.1 -27.8 +"241" 3 -28.1 From ceae81b8d84356eb8fe5c2e497fe4a9ff6e70ee0 Mon Sep 17 00:00:00 2001 From: Nate Kroeze Date: Thu, 17 Nov 2022 21:17:34 -0500 Subject: [PATCH 3/3] Remove csv --- researchData.csv | 242 ----------------------------------------------- 1 file changed, 242 deletions(-) delete mode 100644 researchData.csv diff --git a/researchData.csv b/researchData.csv deleted file mode 100644 index 89aecd5..0000000 --- a/researchData.csv +++ /dev/null @@ -1,242 +0,0 @@ -"","d15N","d13C" -"1",5.3,-28.9 -"2",4,-28.8 -"3",3.1,-28.8 -"4",3.5,-25.1 -"5",3.1,-27.1 -"6",3.2,-28.1 -"7",2.2,-28.1 -"8",3,-27.4 -"9",2.4,-28.7 -"10",3,-26.2 -"11",3,-26.7 -"12",3.1,-27.4 -"13",4.5,-26.4 -"14",3.3,-27.8 -"15",3.3,-28.5 -"16",3.2,-27.3 -"17",3,-26.4 -"18",3,-27.4 -"19",2.8,-22.7 -"20",3.9,-23.3 -"21",3.4,-22.4 -"22",3.7,-28 -"23",3.6,-28.8 -"24",3.3,-28.4 -"25",5.3,-28 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