R: Extract time band data from a split Lexis object
timeBand
R Documentation
Extract time band data from a split Lexis object
Description
The break points of a Lexis object (created by a call to
splitLexis) divide the follow-up intervals into time bands
along a given time scale. The breaks function returns
the break points, for a given time scale, and the timeBand
classifies each row (=follow-up interval) into one of the time bands.
a character or integer vector of length 1
identifying the time scale of interest
type
a string that determines how the time bands are labelled.
See Details below
Details
Time bands may be labelled in various ways according to the
type argument. The permitted values of the type
argument, and the corresponding return values are:
"integer"
a numeric vector with integer codes starting from 0.
"factor"
a factor (unordered) with labels "(left,right]"
"left"
the left-hand limit of the time band
"middle"
the midpoint of the time band
"right"
the right-hand limit of the time band
Value
The breaks function returns a vector of break points
for the Lexis object, or NULL if no break points have been
defined by a call to splitLexis. The timeBand
function returns a numeric vector or factor, depending on the value
of the type argument.
Note
A newly created Lexis object has no break points defined.
In this case, breaks will return NULL, and
timeBand will a vector of zeros.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(Epi)
Attaching package: 'Epi'
The following object is masked from 'package:base':
merge.data.frame
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Epi/time.band.Rd_%03d_medium.png", width=480, height=480)
> ### Name: timeBand
> ### Title: Extract time band data from a split Lexis object
> ### Aliases: timeBand breaks
> ### Keywords: attribute
>
> ### ** Examples
>
> data(diet)
> diet <- cal.yr(diet)
> diet.lex <- Lexis(entry=list(period=doe),
+ exit=list(period=dox, age=dox-dob),
+ exit.status=chd,
+ data=diet)
> diet.split <- splitLexis(diet.lex, breaks=seq(40,70,5), "age" )
> age.left <- timeBand(diet.split, "age", "left")
> table(age.left)
age.left
-Inf 40 45 50 55 60 65
26 78 195 238 272 237 149
> age.fact <- timeBand(diet.split, "age", "factor")
> table(age.fact)
age.fact
(-Inf,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,Inf]
26 78 195 238 272 237 149 0
> age.mid <- timeBand(diet.split, "age", "mid")
> table(age.mid)
age.mid
-Inf 42.5 47.5 52.5 57.5 62.5 67.5
26 78 195 238 272 237 149
>
>
>
>
>
> dev.off()
null device
1
>