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PA1_template.html
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<h2>Loading and preprocessing the data</h2>
<pre><code class="r"># load data
steps <- read.csv('./activity.csv', header = T)
# packages
suppressPackageStartupMessages(library('dplyr'))
suppressPackageStartupMessages(library('ggplot2'))
suppressPackageStartupMessages(library('knitr'))
</code></pre>
<h2>What is mean total number of steps taken per day?</h2>
<pre><code class="r"># Number of steps/day
daystepcount <- steps %>% group_by(date) %>% summarise(day.count = sum(steps))
</code></pre>
<p>The total number of steps were calculated in <code>daystepcount</code> and the output of this calculation is shown
in the histogram.</p>
<pre><code class="r">ggplot(daystepcount) + geom_histogram(aes(x = day.count), binwidth = 1000) +
theme_bw() + ggtitle('Total number of steps per day') + xlab('Number of steps per day')
</code></pre>
<p><img 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" alt="plot of chunk steps_a_day_hist"/> </p>
<pre><code class="r"># Mean and median number of steps/day
mstepcount <- daystepcount %>% ungroup() %>%
summarise(mean = mean(day.count, na.rm = T), median = median(day.count, na.rm = T))
mstepcount %>% data.frame
</code></pre>
<pre><code>## mean median
## 1 10766.19 10765
</code></pre>
<p>The mean total number of steps taken per day were 10766.19 and the median total steps taken per day were
10765. </p>
<h2>What is the average daily activity pattern?</h2>
<pre><code class="r"># Mean step count per inteval (misc)
misc <- steps %>% group_by(interval) %>%
summarise(meansteps = mean(steps, na.rm = T))
maxinterval <- misc[which(misc$meansteps == max(misc$meansteps)),]
maxinterval$label <- paste('Maximum occurs at',round(maxinterval$meansteps,0),
'steps, at interval',maxinterval$interval)
ggplot(misc, aes(x = interval, y = meansteps)) + geom_line() +
geom_point(data = maxinterval, colour = 'red', size = 2) +
geom_text(data = maxinterval, aes(x = interval + 20, label=label),
hjust = 0, colour = 'red', size = 4) +
ylab('Average step count') + xlab('5-min interval during day') + theme_bw() +
ggtitle('Average step count over time intervals')
</code></pre>
<p><img 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" alt="plot of chunk meansteps_interval"/> </p>
<p>Maximum occurs at 206 steps, at interval 835</p>
<h2>Imputing missing values</h2>
<p>There are 2304 missing values in the dataset.</p>
<p>I will impute using the rounded mean number of steps at each interval.
These values are calculated above in the variable <code>misc</code>.</p>
<pre><code class="r">#Add the meansteps at each inteval to steps
steps.imputed <- left_join(steps, misc)
</code></pre>
<pre><code>## Joining by: "interval"
</code></pre>
<pre><code class="r"># If step is NA change to meansteps
steps.imputed <- steps.imputed %>% mutate(steps = ifelse(is.na(steps),round(meansteps,0),steps))
</code></pre>
<p>The new dataset is stored in <code>steps.imputed</code> </p>
<pre><code class="r"># Number of steps/day imputed
daystepcount.imp <- steps.imputed %>% group_by(date) %>%
summarise(day.count = sum(steps))
# Mean and median number of steps/day imputed
mstepcount.imp <- daystepcount.imp %>% ungroup() %>%
summarise(mean = mean(day.count, na.rm = T), median = median(day.count, na.rm = T))
ggplot(daystepcount.imp) + geom_histogram(aes(x = day.count), binwidth = 500) +
ggtitle('Histogram of total number of steps taken each day\nAfter imputation') + theme_bw() +
xlab('Daily step count')
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk imputed_daycount"/> </p>
<p>The mean and median number of steps per day of the imputed data</p>
<pre><code class="r">mstepcount.imp %>% data.frame
</code></pre>
<pre><code>## mean median
## 1 10765.64 10762
</code></pre>
<p>To compare with the mean and median number of steps per day of the original data</p>
<pre><code class="r">mstepcount %>% data.frame
</code></pre>
<pre><code>## mean median
## 1 10766.19 10765
</code></pre>
<p>Pretty close! The effect on the mean and median was not that big but we got more data. That is always good :)</p>
<h2>Are there differences in activity patterns between weekdays and weekends?</h2>
<p>I will use the original dataset as I did not take weekday into account when imputing</p>
<pre><code class="r"># set the locale to english for english weekdays
Sys.setlocale("LC_TIME",'en_US.UTF-8')
</code></pre>
<pre><code>## [1] "en_US.UTF-8"
</code></pre>
<pre><code class="r">#Make dates dateobjects and calculate weekday
steps.wd <- steps %>% mutate(date = as.Date(date), weekday = weekdays(date)) %>%
# Calculate if weekend or weekday
mutate(weekend.day = ifelse(weekday %in% c('Saturday','Sunday'),'Weekend','Weekday'))
# Reorder weekend/weekday factor
steps.wd$weekend.day <- relevel(factor(steps.wd$weekend.day), ref = 'Weekend')
# Average number of steps during weekend/weekdays
steps.wd.mean <- steps.wd %>% group_by(interval,weekend.day) %>%
summarise(mean.steps = mean(steps, na.rm = T))
# Plot the average steps during weekend/weekday with a panelplot
ggplot(steps.wd.mean) + geom_line(aes(x = interval, y = mean.steps)) +
facet_wrap(~weekend.day,nrow = 2) + theme_bw() +
ggtitle('Mean number of steps per interval by weekday or weekend') +
ylab('Mean number of steps')
</code></pre>
<p><img 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" alt="plot of chunk weekdays"/> </p>
</body>
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