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Elias Issa Exercise 10 #18
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| #Elias Issa Exercise10 | ||
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| #Set Working Directory | ||
| setwd("/Users/elias/Downloads/Exercise10") | ||
| #Initialize ggplot2 | ||
| library(ggplot2) | ||
| #Question 1 | ||
| #import data | ||
| data <- read.table("UWvMSU_1-22-13.txt", header= T, sep = "\t", stringsAsFactors=FALSE) | ||
| #subset of MSU score | ||
| MSU<-subset(data,team == "MSU") | ||
| #subset of MSU cumulative score | ||
| MSU_cum<-subset(data,team == "MSU") | ||
| #subset of UW | ||
| UW<-subset(data,team == "UW") | ||
| #subset of UW cumulative score | ||
| UW_cum<-subset(data,team == "UW") | ||
| #adds the previous cumulative score to the point total of the next score for UW | ||
| for(i in 2:nrow(UW)){ | ||
| UW_cum$score[i] <-UW_cum$score[i-1]+UW$score[i] | ||
| } | ||
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| #adds the previous cumulative score to the point total of the next score for MSU | ||
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| for(i in 2:nrow(MSU)){ | ||
| MSU_cum$score[i] <-MSU_cum$score[i-1]+MSU$score[i] | ||
| } | ||
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| #Plot of both cumulative data vs time with different colors | ||
| ggplot() + geom_line(data= MSU_cum, aes(x=time, y= score,color="red")) + geom_line(data= UW_cum, aes(x=time, y= score,color="black")) +theme_classic() | ||
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| #Question 2 | ||
| #uses a function to make the game easily replayable by putting it in a single function | ||
| guessmynumber<- function(){ | ||
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| #generates a random target | ||
| target <- sample(1:100,1) | ||
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| #tells player the game | ||
| print("I'm thinking of a number 1-100...") | ||
| for (i in 1:10){ | ||
| #loops through function 10 times to limit guesses to 10 | ||
| guess<-readline(prompt <-"Guess:") | ||
| guess<-as.integer(guess) | ||
| if(guess>target){ | ||
| print("Lower") | ||
| }else if(guess<target){ | ||
| print("Higher") | ||
| }else if (guess==target){ | ||
| print("Correct!") | ||
| break | ||
| }else{break} | ||
| }} | ||
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| #Calls the function guess my number to play the game | ||
| guessmynumber() | ||
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an alternative way:
load table of scoring
scoring=read.table("UWvMSU_1-22-13.txt",header=TRUE,sep="\t",stringsAsFactors=FALSE)
look at data
dim(scoring)
head(scoring)
preallocating matrix to store cumulative scores
cum_scores=matrix(NA,nrow(scoring)+1,3)
cum_scores[,1]=c(0,scoring[,1])
cum_scores[1,2:3]=0
colnames(cum_scores)=c("time","UW","MSU")
looping through individual scoring events
for(i in 1:nrow(scoring)){
if(scoring[i,2]=="UW"){
cum_scores[(i+1),2]=cum_scores[i,2]+scoring[i,3]
cum_scores[(i+1),3]=cum_scores[i,3]
}else{
cum_scores[(i+1),2]=cum_scores[i,2]
cum_scores[(i+1),3]=cum_scores[i,3]+scoring[i,3]
}
}