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)
If you instead use this:

ts <- zoo(stats, date)
plot(ts, type="p")

You may get a better idea why your other panels in plot.zoo are emply. Y\In them you have no adjacent points that are not missing. R plotting routines generally break aa line plot at a missing value rather than drawing a line through missing data.
--

David.
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

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