Thanks to you two! :)
The zoo-manual explains the functions na.locf and na.approx, which deal
with this problem. I have to admit I didn't read the whole thing before
posting. But na.approx does exactly that - linear interpolation for all
NA-points. Plots work fine after adding this line:
ts <- na.approx(ts)
Thanks again!
-- Alex
On Oct 29, 2012, at 8:14 AM, Alexander Engelhardt wrote:
Hi guys,
I am logging data about my body (weight, body fat, blood pressure, ..)
in a .csv file and would like to plot this as a time series. I
uploaded the (noisified) .csv, you can see the link in the code I have
so far (you can run the code directly as-is):
df.raw <-
read.csv("http://www.chaotic-neutral.de/temp/stats-noised.csv";,
sep=";", dec=".")
date <- as.Date(df.raw[,1])
comments <- df.raw[,2]
stats <- df.raw[,-c(1,2)]
################################################################
#### timeSeries
library(timeSeries)
ts <- timeSeries(charvec=date, data=stats)
plot(ts)
################################################################
#### zoo
library(zoo)
ts <- zoo(stats, date)
plot(ts)
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