Description Usage Arguments Value Author(s) Examples
twa
calculate time weighted average using different interpolate methods
1 |
object |
an object of class |
interpolate |
defines interpolat method, default: linear. |
... |
a spline method and see spline() for more detail. |
a data frame contains:
ID |
unique ID |
TWA |
TWA values |
Dongsheng Yang, Anne S. Tang
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | id = c(17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 21, 21, 21, 21, 21, 21, 21,
30, 30, 30, 30, 30, 30, 30)
y = c(110, 137, 142, 129, 102, 113, 195, 168, 192, 156, 178, 186, 116, 105,
111, 86, 113, 115, 106, 113, 115, 106, 97, 103)
time = c("05JUL07:15:10:00", "05JUL07:16:15:00", "05JUL07:17:15:00",
"05JUL07:18:15:00", "05JUL07:19:15:00", "05JUL07:20:00:00", "05JUL07:21:10:00",
"05JUL07:21:40:00", "05JUL07:22:10:00", "05JUL07:22:40:00", "10MAY07:08:15:00",
"10MAY07:09:15:00", "10MAY07:10:15:00", "10MAY07:10:30:00", "10MAY07:11:00:00",
"10MAY07:11:30:00", "10MAY07:12:20:00", "12JUL07:08:15:00", "12JUL07:08:20:00",
"12JUL07:09:15:00", "12JUL07:09:20:00", "12JUL07:10:15:00", "12JUL07:10:20:00",
"12JUL07:11:10:00")
a = SVILD(id = id, time = time, y = y, timeFormat = "%d%b%y:%H:%M:%S")
twa(a,interpolate = "linear" )
twa(a,interpolate = "spline", method = "natural", n = 500 )
twa(a,interpolate = "spline", method = "fmm", n = 500 )
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