data1 <- read.csv("data/day1data.csv", header = FALSE,
fileEncoding="UTF-8-BOM")
day1func <- function(data1){
count <- 0
for(i in 2:(nrow(data1))){
if(data1[i,1]>data1[i-1,1]){
count <- count +1
}
}
return(count)
}
example_data <- matrix(data = c(199,200,208,210,200,207,240,269,260,263),
nrow=10,
ncol=1)
day1func(example_data) ==7
#answer:
day1func(data1)
#part B
#just compare the first observation of the previous three day average
#to the last observation of the current three day average
#and add to the count
day1funcb <- function(data1){
count <- 0
for(i in 2:(nrow(data1)-2)){
if(data1[i+2,1]>data1[i-1,1]){
count <- count +1
}
}
return(count)
}
day1funcb(example_data) == 5
#answer for part B
day1funcb(data1)
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