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An easy tool for visualizing, annotating, and stratifying time series data.
This package contains five functions as below.
timelineS: Plots a horizontal timeline with event
descriptions at corresponding dates.timelineG: Plots faceted timelines for grouped
data.durPlot: Plots boxplot, histogram, density plot,
scatter plot, line plot and prints summary statistics for date duration
data.durCalc: Calculates the duration between two dates, use
it as a filter to select rows that satisfy the length criteria. Returns
the dataset with additional columns regarding the length of durations in
different units.durSummary: Returns summary statistics for date
duration data.install.packages("timelineS")devtools::install_github("daheelee/timelineS")timelineS plots an annotated timeline.
timelineS(mj_life, main = "Life of Michael Jackson")
You can also change the aesthetics.
timelineS(mj_life, main = "Life of Michael Jackson",
label.direction = "up", label.length = c(0.2,0.8,0.4,1.2), label.position = 3,
line.color = "blue", label.color = "blue", point.color = "blue", pch = "-")
timelineG creates stacked timelines, faceted by
groups.
timelineG(df=life_country, start="Start", end="End", names="Name",
phase="Phase", group1="Country", group2="Gender")
durPlot function gives five different plots by default.
You can set facet=TRUE to get faceted plots.
durPlot(life_exp, start="Birth", end="Death", group="Country", timeunit="years", facet=TRUE, binwidth=3, alpha=0.7, title=TRUE)
durPlot also gives a summary of the duration lengths
with the plots.
durSummary is a simpler function if you only want the
summary.
durSummary(life_exp, start="Birth", end="Death", group="Country", timeunit="years") Country min Qt1 median mean Qt3 max sd
1 Australia 67.19 72.16 76.26 75.72 78.98 85.71 5.30
2 China 67.41 70.09 76.06 76.44 83.38 87.56 7.14
3 France 64.02 68.16 74.48 74.89 79.10 89.37 7.59
4 Japan 69.35 75.14 77.76 77.63 80.57 85.33 4.82
5 US 62.73 72.04 76.21 75.35 79.00 85.45 5.49durCalc filters a data frame using duration lengths.
Let’s say we have a dataset that has dates of birth and death of people.
We can filter out people(rows) who lived longer than 85 years. You can
also do filterlonger=FALSE to select rows that are shorter
than some time length.
durCalc(life_exp, start="Birth", end="Death", timeunit="years", filterlength=85)The output has a few extra duration information in specified
timeunit and also in calendar units.
Name Country Gender Birth Death days diff_years diff_length longer_by
8 Susan Australia Female 1920-05-26 2006-02-10 31306 85.71 85years 8months 16days 8months 16days
19 Mai Japan Female 1923-10-12 2009-02-07 31165 85.33 85years 3months 27days 3months 27days
24 Leo France Male 1920-06-28 2009-11-09 32641 89.37 89years 4months 12days 4years 4months 12days
48 Gloria US Female 1926-03-01 2011-08-14 31212 85.45 85years 5months 14days 5months 14days
60 Ming China Female 1920-09-06 2008-03-31 31983 87.56 87years 6months 24days 2years 6months 24daysIf you want to know how old each person would be as of January 1, 2000, you can do:
durCalc(life_exp, start="Birth", end=as.Date("2000-1-1"), timeunit="years") Name Country Gender Birth Death days diff_length
1 Edward Australia Male 1927-11-17 1999-12-16 26343 72years 1month 15days
2 James Australia Male 1925-11-20 1993-01-27 27070 74years 1month 11days
3 Mark Australia Male 1926-06-11 2003-12-26 26867 73years 6months 21days
4 Fred Australia Male 1927-01-22 2002-07-19 26642 72years 11months 9days
5 Phil Australia Male 1923-06-20 2003-01-15 27954 76years 6months 12days
...Or you can simply use this as a unit-converter between two dates.
durCalc(start=as.Date("2010-12-1"), end=as.Date("2015-4-26"), timeunit="weeks") days diff_weeks diff_length
1 1607 229.57 4years 4months 24daysDahee Lee – dhlee99@gmail.com
Distributed under the GPL-2 license.
https://github.com/daheelee/timelineS
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.