[R] Problems plotting a sparse time series in R

[Alexander Engelhardt]

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)

I tried plotting the stuff with two packages, timeSeries and zoo. Both 
have the same problem: The column "Bauchfalte" which has a lot of 
entries (I measure this constantly), gets plotted, but the other ones 
don't. Most of them have only two entries and a lot of NAs, so I would 
at least expect a straight line between the two dates in those plots.

Maybe there is a problem with determining the ylim of the plots of the 
sparse columns, this is what an error message said. But I have no idea 
how to fix this.

Does anyone have an idea what's wrong here?

Also, if you have suggestions if there is a better format or way to log 
my data, I would appreciate that as well. I just figured the current way 
of one central date column and a lot of NAs for stuff I don't measure 
that day is the best way, because I'd like to add vertical lines at the 
dates with an entry in the "comment" column in every plot.

Thanks a lot!
  - Alex