[R] Problems plotting a sparse time series in R

[Alexander Engelhardt]

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)