Description Usage Arguments Details Value Note Author(s) See Also Examples
The function is used to convert an individual line list of cases to an aggregated time series of counts based on event date information of the cases.
1 2 3 4 5 6 7 8 9 10 11 | linelist2sts(linelist,dateCol,
aggregate.by=c("1 day", "1 week", "7 day", "1 week",
"1 month", "3 month", "1 year"),
dRange=NULL,
epochInPeriodStr=switch(aggregate.by, "1 day"="1",
"1 week"="%u", "1 month"="%d","3 month"="%q","1 year"="%j"),
startYearFormat=switch(aggregate.by,"1 day"="%Y",
"7 day"="%G", "1 week"="%G","1 month"="%Y","3 month"="%Y","1 year"="%Y"),
startEpochFormat=switch(aggregate.by,"1 day"="%j",
"7 day"="%V", "1 week"="%V", "1 month"="%m", "3 month"="%Q", "1 year"="1")
)
|
linelist |
A |
dateCol |
A character string stating the column name in
|
aggregate.by |
Temporal aggregation level given as a string, see
the |
dRange |
A vector containing the minimum and maximum date
for doing the aggregation. If not specified these dates are
extracted automatically by taking |
epochInPeriodStr |
|
startYearFormat |
|
startEpochFormat |
|
The date range is automatically extended such that the starting and
ending dates are always the first epoch within the period, i.e. for
aggregation by week it is moved to mondays. This is controlled by the
epochInPeriodStr
parameter.
Please note that the formatting strings are implemented by the
internal formatDate
function, which uses the strptime
formatting strings (ISO8601 are made Windows compatible) as well as
formatting of quarters using "%Q", "%OQ" and "%q".
The function returns an object of class "sts"
.
The freq
slot might not be appropriate.
Some of the strptime
ISO 8601 formatting strings have problems
on windows. Hence, the surveillance internal formatDate
function is used.
Michael Höhle
See also seq.Date
, strptime
, isoWeekYear
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | #Load O104 outbreak data
data("husO104Hosp")
#Convert line list to an sts object
sts <- linelist2sts(husO104Hosp, dateCol="dHosp", aggregate.by="1 day")
#Check that the number of cases is correct
all.equal(sum(observed(sts)),nrow(husO104Hosp))
#Plot the result
plot(sts,xaxis.tickFreq=list("%d"=atChange,"%m"=atChange),
xaxis.labelFreq=list("%d"=at2ndChange),
xaxis.labelFormat="%d %b",
xlab="",las=2,cex.axis=0.8)
|
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