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92 lines
2.2 KiB
92 lines
2.2 KiB
source("readData.R")
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library(tidyverse)
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RPEData <-readNArpeData()
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numDays <- max(RPEData$TimeSinceAugFirst)
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dayList <- 0:numDays
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workLoad <- c()
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averageWorkLoad <- c()
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for(day in dayList)
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{
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daylyActivities <- subset(RPEData, TimeSinceAugFirst == day)
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cat("day: ", day, "\n",sep="")
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cat("Activity count:", length(daylyActivities$DailyLoad), "\n", sep="")
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averageWorkLoad <- c(averageWorkLoad, mean(daylyActivities$SessionLoad, na.rm = T))
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workLoad <- c(workLoad, sum(daylyActivities$SessionLoad, na.rm = T))
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}
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plot(dayList, averageWorkLoad, main="Average Work Load")
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plot(dayList, workLoad, main="Daily Total Work Load")
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slidingAverage <- c()
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window <- 31 - 1
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for(day in window:numDays)
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{
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windowAverage <- mean(workLoad[c((day-window):day)])
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slidingAverage <- c(slidingAverage, windowAverage)
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}
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plot(window:numDays, slidingAverage, main="Sliding Average")
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plot(density(slidingAverage), main="Sliding Average Density")
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plot(density(workLoad), main="Total Work Load Average")
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dataTibble <- tibble(TimeSinceAugFirst = window:numDays, slidingWorkAverage = slidingAverage)
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ggplot(data = dataTibble) +
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theme(plot.title = element_text(hjust = 0.5)) +
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ggtitle("Team's 7 Day Moving Average") +
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geom_point(mapping = aes(x=TimeSinceAugFirst, y=slidingWorkAverage)) +
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labs(x = "Days Since August Seventh 2017", y = "Teams Total Daily Load")+
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theme_bw()
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write.csv(dataTibble, "cleaned/slidingWorkAverageSevenDay.csv")
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################################ Wellness Data ###################################
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fatigueData <- readFatigueSums()
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dayNum <- max(fatigueData$TimeSinceAugFirst)
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dayList <- 0:dayNum
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slidingAverage <- c()
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window <- 21 - 1
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for(day in window:dayNum)
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{
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windowAverage <- mean(fatigueData$fatigueSum[c((day-window):day)], na.rm = T)
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slidingAverage <- c(slidingAverage, windowAverage)
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}
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graphingTib <- tibble(slidingAverage = slidingAverage, days = window:dayNum)
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ggplot(data = graphingTib) +
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theme(plot.title = element_text(hjust = 0.5)) +
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ggtitle("Team's Average Normalized Fatigue") +
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geom_point(mapping = aes(x=days, y=slidingAverage)) +
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labs(x = "Days Since August Twenty First 2017", y = "Teams Average Normalized Fatigue")+
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theme_bw()
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plot(density(slidingAverage))
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plot(window:dayNum, slidingAverage)
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