Hi Everyone,
I have a some data from a sports gps device like the following:
time latitude longitude altitude distance heartrate
1 1277648884 0.304048 -0.793819 260 0.000000 94
2 1277648885 0.304056 -0.793772 262 4.307615 95
3 1277648888 0.304060 -0.793696 263 11.262347 97
4 1277648894 0.304075 -0.793544 263 25.237911 103
5 1277648898 0.304085 -0.793455 263 33.322525 108
6 1277648902 0.304064 -0.793387 256 40.042988 115
As you can see, the samples have irregular holes in the time column. How
can I fill in the missing samples using na.approx?
I've tried to creating a blank series with no gaps and combine them, but
"merge" just adds columns and "rbind" compains about
duplicate indexes.
P.S. My GPS still has holes in the data when I turn off "smart
recording" :(
Thanks,
Jason
Gabor Grothendieck
2010-Nov-29 15:00 UTC
[R] Filling in missing time samples with na.approx
On Mon, Nov 29, 2010 at 9:45 AM, Jason Edgecombe <jason at rampaginggeek.com> wrote:> Hi Everyone, > > I have a some data from a sports gps device like the following: > > ? ? ? ?time latitude longitude altitude ?distance heartrate > 1 1277648884 0.304048 -0.793819 ? ? ?260 ?0.000000 ? ? ? ?94 > 2 1277648885 0.304056 -0.793772 ? ? ?262 ?4.307615 ? ? ? ?95 > 3 1277648888 0.304060 -0.793696 ? ? ?263 11.262347 ? ? ? ?97 > 4 1277648894 0.304075 -0.793544 ? ? ?263 25.237911 ? ? ? 103 > 5 1277648898 0.304085 -0.793455 ? ? ?263 33.322525 ? ? ? 108 > 6 1277648902 0.304064 -0.793387 ? ? ?256 40.042988 ? ? ? 115 > > As you can see, the samples have irregular holes in the time column. How can > I fill in the missing samples using na.approx? > > I've tried to creating a blank series with no gaps and combine them, but > "merge" just adds columns and "rbind" compains about duplicate indexes. > > P.S. My GPS still has holes in the data when I turn off "smart recording" :( >Try this: Lines <- "time latitude longitude altitude distance heartrate 1277648884 0.304048 -0.793819 260 0.000000 94 1277648885 0.304056 -0.793772 262 4.307615 95 1277648888 0.304060 -0.793696 263 11.262347 97 1277648894 0.304075 -0.793544 263 25.237911 103 1277648898 0.304085 -0.793455 263 33.322525 108 1277648902 0.304064 -0.793387 256 40.042988 115" # read in data library(zoo) z <- read.zoo(textConnection(Lines), header = TRUE) na.approx(z, xout = seq(min(time(z)), max(time(z)))) -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com