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
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