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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David Winsemius, MD
Alameda, CA, USA
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.