knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
This is only for those who want to know how the idea came into being and got implemented. You are NOT required to read it as part of using the package.
This document reveals what's going on behind the scene--how the charts are constructed--how the idea was conceived and implemented after numerous trial and error. For the details on how to use the package, see clockplot.
⚠ The plots shown here may not produce the expected output due to the behavior of Rmarkdown. To see the actual appearance, run the codes given.
Broadly speaking, the construction of the clockcharts have two steps.
i. Construction of the 24-hour clock ii. Plotting event times on the clock
Each steps has two substeps:
a. The mathematical idea b. The programming
First we need to construct the skeleton, the clock on which event times are plotted. For this, we need a circle, on which we have to mark 24 dots to denote 24 hours, starting from 00:00 (12 AM) to 23:00 (11 PM).
It is enough to draw a unit circle, although a circle of any radius would do.
In R
, it is easiest to draw a circle using the complex equation. For a unit
circle, the equation is $e^{i\theta}$, where $e$ is Euler's number, an
irrational constant having the approximate value of 2.71828; $i$ stands for
imaginary unit, equal to $\sqrt{-1}$; and $\theta$ refers to the trigonometric
angle in radian. To make a complete circle, we need to allow $\theta$ to
take values from 0 to 360 degrees ($2\pi$ in radian).
Programmatically, we need to create some angles ranging from 0 to $2\pi$ and then connect them to make a complete circle. Let us create 100 angles and use them in the circle equation ($e^{i\theta}$). The trigonometric form of the equation is $sin^2 \theta + cos^2 \theta = 1$, while the algebraic form is $x^2+y^2 = 1$. The complex form, however, is more convenient.
k <- 100 timepoint <- exp(1i * 2 * pi * (k:1) / k) plot(timepoint, pch = 19, type = "b")
Here R
just takes the complex numbers and plots the values of the real part
on the X axis and the corresponding values of the imaginary part on the Y axis.
Now we have to mark the hours on the circle to make it look like a clock. We have to show 24 hours marks as well some marks for minute marks, corresponding to the fraction of the hour. This clock is slightly different from a traditional clock not only in that it has 24 hours instead of 12, but also that it has only one hand, the hour hand, with minute part added to the hour mark as the fraction; the second part, having minor contribution, is ignored.
First, let us see the output with 24 hour marks.
k <- 24 hour <- exp(1i * 2 * pi * (k:1) / k) plot(hour, pch = 19)
At this time, we move to the R
package ggplot2
to produce better graphics.
We need to create an R
data frame for plotting ggplots. We also mark some
points for minutes.
First, let us create the required data frame
k <- 24 # Hours subk <- 24 * 4 # Fraction of hours times <- exp(1i * 2 * pi * (k:1) / k) subtimes <- data.frame(SubT = exp(1i * 2 * pi * (subk:1) / subk)) ampm <- c(rep(" AM", 6), rep(" PM", 12), rep(" AM", 6)) library(tibble) dfclock <- tibble( time = times, hour = c(6:12, 1:12, 1:5), # May not be needed label = paste0(c(6:12, 1:5), ampm) )
Explanation
k = 24
indicates there are 24 hours. Then in each hour is divided into 4 parts
, corresponding to the elapse of successive 15 minutes. Thus, a small point on
\@ref(fig:clock24) in the middle of two larger point (hour) means half an hour
has elapsed. For instance, the the point in the middle of 7 PM and 8 PM is 7:30
PM.
Now the code exp(1i * 2 * pi * (k:1) / k)
gives us all the angles
corresponding to 24 hours on the clock. Here, we have to note that the angles
in trigonometry starts from $0^o$ (X-axis) and rotates counter-clockwise, the
direction opposite to the rotation of clock hands (the significance of the
difference will be seen shortly). But the clock moves clockwise.
At 0 degree, we have 3 in a 12-hour clock and 6 in 24-hours clock.
Similarly, the code SubT = exp(1i * 2 * pi * (subk:1) / subk)
gives us the
angles corresponding to the fraction of an hour. As we have already mentioned,
the clock hand rotates clock-wise, starting from the $0^o$ angle, so we name
the labels 6 PM to 11 PM, then we have 12 PM to 11 PM, followed by 12 AM to
5 AM.
The code c(rep(" AM",6), rep(" PM",12), rep(" AM",6))
ensures this sequence.
We then place the data into two data frames subtimes
and dfclock
, since
they are unequal dimensions.
library(ggplot2) # Load the package ggplot2 p1 <- dfclock %>% ggplot() + geom_path(data = subtimes, aes(Re(SubT), Im(SubT))) + # Connect Last two missing points geom_line(data = subtimes %>% dplyr::slice(-c(2:95)), aes(Re(SubT), Im(SubT))) + theme(aspect.ratio = 1) + geom_text(data = dfclock, aes(Re(time) * 1.1, Im(time) * 1.1, label = label)) + geom_point( data = subtimes, aes(Re(SubT), Im(SubT)), shape = 19, color = "black", size = 0.6 ) + geom_point(aes(Re(time), Im(time)), color = "black", size = 1.8) p1
Next, we plot the lines using the ggplot2
package. The functions geom_path()
does the job, while geom_line()
is used to fill the gap between the first and
the last point. aspect.ratio = 1
is set to ensure the chart size do not
depend on resizing of Rstudio
Viewer size.
The points corresponding to the hours are labelled AM or PM using the
geom_text()
function. We do not need the axis labels and ticks. Let us
remove them:
p1 + theme( axis.text.x = element_blank(), axis.ticks.x = element_blank(), axis.text.y = element_blank(), axis.ticks.y = element_blank() ) + labs(x = "", y = "")
This completes our first part of the plot; we get the skeleton of the clock.
The second and final part of the task involves plotting event times on the
appropriate points. Now, this task has several variations. In the simplest
form, we just have a chart, so called clock_chart
, which plots the event
times on the 24-hour clock. An optional argument Col
can be used to change
the color of the clock hands. The other variations will be discussed later, when
we complete the discussion on how the event times are prepared for plotting.
We have data in the format HH:MM:SS
. We need to convert this data to (x,y)
coordinates. In the unit circle, for example, the 12 AM should be plotted on
the Y-axis (x = 0, y = 1) and 6 AM on the X axis (x = 1, y = 0), although, to
avoid plotting on the circumference, we decrease the length a little (more on
this later).
To convert the HH:MM:SS
to coordinates of the unit circle, we first separate
the parts of time into HH
, MM
, and SS
. We accomplish that using the
dplyr
and tidyr
package.
# Data to check on chkdf <- data.frame( time = c("06:00:00", "12:00:00", "17:30:00", "00:05:25"), value = sample(10, 4) ) library(dplyr) chkdf %>% tidyr::separate_wider_delim( cols = time, names = c("hour", "minute", "second"), cols_remove = FALSE, delim = ":" )
This gives us hour
, minute
, and second
as character (chr
) vectors, but
we need them as numeric vectors. The conversion is made with as.numeric
function.
Here the challenge now is to combine the hour and the minute into one singe
time, which we would later convert to coordinate. We intentionally ignore the
second (SS
), since it has too negligible contribution on the plot.
Here a short algorithm is to be used:
Note here that 30 minutes is equivalent to half an hour, so 1:30:00
corresponds
to 1.5 hour. We need to recall that time values range from 0 to 60, while
our decimal number system gives us the suitable range 1 to 100. In our number
system, reaching 100 indicates we have completed some work, while clockworks
say reaching 60 completes one cycle of the task.
The hour part does not need conversion. 23 is 23 and 22 is 22.
Thus, 15 minutes on the clock says $\frac{15}{60} = \frac14$ th or $25\%$ work, 30 means $\frac{30}{60} = \frac12 = 0.5$ or $50\%$ work, and 50 means $\frac{50}{60}$ or $83\%$ work have been completed.
The task is further complicated due to the clock and angles rotating in opposite directions.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.