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<p>inst—
title: “Reproducible Research: Peer Assessment 1”
output:
html_document:</p>
<h2> keep_md: true</h2>
<h2>Loading and preprocessing the data</h2>
<pre><code class="r">activity <- read.csv('activity.csv', header=T, sep=",")
</code></pre>
<h2>What is mean total number of steps taken per day?</h2>
<pre><code class="r">stepsPerDaySum <- tapply(activity$steps, activity$date, FUN=sum, na.rm=TRUE)
hist(stepsPerDaySum, main="Total Number of Steps Per Day", xlab="Steps Per Day")
</code></pre>
<p><img 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" alt="plot of chunk steps_per_day_mean"/> </p>
<p>Mean number of steps taken per day:</p>
<pre><code class="r">mean(stepsPerDaySum)
</code></pre>
<pre><code>## [1] 9354
</code></pre>
<p>Median number of steps taken per day:</p>
<pre><code class="r">median(stepsPerDaySum)
</code></pre>
<pre><code>## [1] 10395
</code></pre>
<h2>What is the average daily activity pattern?</h2>
<pre><code class="r">averages <- aggregate(x=list(steps=activity$steps), by=list(interval=activity$interval), FUN=mean, na.rm=TRUE)
plot(averages, type="l", main="Average Daily Activity Pattern", xlab="5-Minute Interval", ylab="Mean Number of Steps")
</code></pre>
<p><img 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" alt="plot of chunk average_daily_activity_pattern"/> </p>
<p>Which 5-minute interval, on average across all days in the dataset, contains the maximum number of steps?</p>
<pre><code class="r">averages$interval[which.max(averages$steps)]
</code></pre>
<pre><code>## [1] 835
</code></pre>
<h2>Imputing missing values</h2>
<p>Total number of missing values (steps) in the dataset</p>
<pre><code class="r">missingSteps = is.na(activity$steps)
table(missingSteps)["TRUE"]
</code></pre>
<pre><code>## TRUE
## 2304
</code></pre>
<p>To fill-in the missing values, we will use the mean for that 5-min interval</p>
<pre><code class="r">fillValue <- function(steps, interval) {
if (is.na(steps)) {
meanForInterval <- (averages[averages$interval==interval, "steps"])
} else {
meanForInterval <- steps
}
return (meanForInterval)
}
filledData <- activity
filledData$steps <- mapply(fillValue, filledData$steps, filledData$interval)
</code></pre>
<p>Histogram of total number of steps taken each day with missing values filled in with 5-min interval mean</p>
<pre><code class="r">stepsPerDayFilledSum <- tapply(filledData$steps, filledData$date, FUN=sum)
hist(stepsPerDayFilledSum, main="Total Number of Steps Per Day", xlab = "Steps Per Day")
</code></pre>
<p><img 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" alt="plot of chunk steps_per_day_with_filled_nas"/> </p>
<p>Mean number of steps taken per day (with NAs filled in):</p>
<pre><code class="r">mean(stepsPerDayFilledSum)
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<p>Median number of steps taken per day (with NAs filled in):</p>
<pre><code class="r">median(stepsPerDayFilledSum)
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<p>When the NAs in the data set are replaced with the mean for the given 5-min interval associated with the missing value, the mean is higher than when simply excluding the missing values from the mean calculation.</p>
<h2>Are there differences in activity patterns between weekdays and weekends?</h2>
<pre><code class="r">library(lattice)
weekendOrWeekday <- function(date) {
day <- weekdays(date)
if (day %in% c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday") == TRUE) {
result <- "weekend"
} else if (day %in% c("Saturday", "Sunday")) {
result <- "weekday"
}
return (result)
}
filledData$date <- as.Date(filledData$date)
filledData$day <- sapply(filledData$date, FUN=weekendOrWeekday)
avgSteps <- setNames(aggregate(filledData$steps, list(filledData$interval, filledData$day), FUN=mean),
c("interval", "day", "meanOfSteps"))
xyplot(avgSteps$meanOfSteps ~ avgSteps$interval | avgSteps$day, layout=c(1, 2), type="l",
xlab="Interval", ylab="Mean Number of Steps")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk weekend_weekday_pattern_diff"/> </p>
</body>
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