From c39fd3fea21407ce8c79a654d5e5994c3d0212ce Mon Sep 17 00:00:00 2001 From: Paul Jeong Date: Fri, 19 Nov 2021 01:02:55 -0500 Subject: [PATCH] Assignment submission --- .Rhistory | 61 + function.R | 52 + wages.csv | 3295 ---------------------------------------------------- 3 files changed, 113 insertions(+), 3295 deletions(-) create mode 100644 .Rhistory create mode 100644 function.R delete mode 100644 wages.csv diff --git a/.Rhistory b/.Rhistory new file mode 100644 index 0000000..1247c75 --- /dev/null +++ b/.Rhistory @@ -0,0 +1,61 @@ +setwd("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11") +x = '/hi/cd' +is.character(x) +if(TRUE && TRUE){print('jho')} +x = FALSE +is.boolean(x) +booltype(x) +logical(x) +is.logical(x) +x = ',' +is.character(x) +raw <- read.table(file = 'wages.csv',header = FALSE,sep = ',') +View(raw) +View(raw) +raw <- read.table(file = 'wages.csv',header = TRUE,sep = ',') +View(raw) +View(raw) +data <- raw[,3] +data2 <- raw[,5] +length(data) +nrow(data) +nrow(raw) +ncol(raw) +nav <- is.na(data) +sum(checkNA) +sum(nav) +sum(!is.numeric(data)) +sum(is.numeric(data)) +is.numeric(data) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +data <- read.csv('wages.csv') +data <- data[,3] +sd(data)/mean(data) +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 10) +source("~/My Files/Notes/NDU/Coursework/Biocomputing/Biocomp_tutorial11/function.R") +myfunction(dir = 'wages.csv',sep = ',', col = 3) +myfunction(dir = 'wages.csv',sep = ',', col = 3) +myfunction(dir = 'wages.csv',sep = ',', col = 3) +myfunction(dir = 'wages.csv',sep = ',', col = 3,smallDataOverride = TRUE) diff --git a/function.R b/function.R new file mode 100644 index 0000000..41cfd8e --- /dev/null +++ b/function.R @@ -0,0 +1,52 @@ +myfunction <- function(dir,sep=',',col=1,smallDataOverride=FALSE){ + #This function takes in four arguments: + # dir: directory to the file that is to be imported, in char + # sep: separation character + # col: specific column number to consider. Defaults to 1 + # smallDataOverride: lets the function continue even with less than 50 points, defaults to FALSE + + + #Perform input argument check + #============================ + if(!is.character(dir) | !is.character(sep) | !is.logical(smallDataOverride) | !is.numeric(col)){ + print('One or more input values are of wrong data type') + return() + } + + + #import data and take the relevant column. Check if the num of column is correct + #============================ + raw <- read.table(file = dir, header = TRUE, sep = sep) + if (ncol(raw) < col | col <= 0){ + print('ERROR: Invalid column number') + return() + } + data <- raw[,col] + + + #Check the data size, and override if given the option + #============================ + if (length(data) <= 50 & !smallDataOverride){ + print('ERROR: Data size under 50. Override this with smallDataOverride argument') + return() + }else if (length(data) <= 50 & smallDataOverride){ + print('WARNING: The data set is small. Results might not be accurate') + } + + + #check if the data includes NA values or non numeric values + #============================ + if(sum(is.na(data)) != 0){ + print('ERROR: Data includes NA values') + return() + } + if(sum(!is.numeric(data)) != 0){ + print('ERROR: Data includes non numeric values') + return() + } + + + #Calculate and return + #============================ + return(sd(data) / mean(data)) +} diff --git a/wages.csv b/wages.csv deleted file mode 100644 index 7b47d8d..0000000 --- a/wages.csv +++ /dev/null @@ -1,3295 +0,0 @@ -gender,yearsExperience,yearsSchool,wage -female,9,13,6.3152956461 -female,12,12,5.4797699786 -female,11,11,3.6421699174 -female,9,14,4.5933365997 -female,8,14,2.4181574607 -female,9,14,2.0940581101 -female,8,12,5.5120039196 -female,10,12,3.5484271597 -female,12,10,5.8182263596 -female,7,12,3.8277804998 -female,10,14,6.7368936796 -female,10,13,12.861342479 -female,10,13,7.6555609995 -female,9,10,2.4497795198 -female,10,13,6.1056621468 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