I think the offered solution was reading values down the columns
rather than keeping the row values together. I think you need to a)
supply a proper "x" and b) transpose:
matplot(x = as.numeric(names(diet.s)[3:14]), y= t(diet.s[,-(1:2)]),
type='l', xlab="Days ???", ylab="Weights in (..) ???",
col = as.numeric(as.character(diet.s$chick)))
Solves the NA plotting concern as well, which was being misinterpreted.
--
David Winsemius
On Jul 6, 2009, at 2:57 PM, Mark Knecht wrote:
Wow Henrique! Close in only 2 lines. Very, very cool.
There seem to be a couple of problems:
1) It seems that none of the chicks are showing up at X=0 on my plot
even though they all have data in column 0.
2) For chicks with NA's it appears that matplot continues their line
to the right. Is there an option not to plot NAs? No data should, in
my view, result in the line stopping. Maybe a black dot or something
at the end if it's easy but that's not required. (I.e. - sniff - the
chick died!) ;-)
3) Possibly related to #2, it seems that a number of chicks aren't
showing up until X=2 or 4.
I guess matplot is smart enough to figure out the whole range based on
all the data before it plots anything? In my database red will finish
on the right below 0, green above, although they may travel above and
below on their path to the finish. I suspect matplot would have no
problems with that.
Very good though. Gives me something to study and try out on my
larger set.
Thanks, and I look forward to seeing how to fix this.
Cheers,
Mark
On Mon, Jul 6, 2009 at 11:35 AM, Henrique
Dallazuanna<www...@gmail.com> wrote:
Try this:
diet.s <- subset(DietResults, diet == 1)
matplot(diet.s[,-(1:2)],
type='l',
col = ifelse(as.numeric(as.character(diet.s$chick)) %% 2,
'red',
'green'))
On Mon, Jul 6, 2009 at 3:22 PM, Mark Knecht <markkne...@gmail.com>
wrote:
Hi,
In the examples from the ReShape package there is a simple example
of using melt followed by cast that produces a smallish amount of
output about the chicks database. Here's the code:
library(reshape)
names(ChickWeight) <- tolower(names(ChickWeight))
chick_m <- melt(ChickWeight, id=2:4, na.rm=TRUE)
DietResults <- cast(chick_m, diet + chick ~ time)
DietResults
My challenge is to extract an plot only a portion of this data.
I would like to plot the data for each chick that participated in
diet 1 only. Assume that the numbered column names (0,2,4, ...)
represent time on the diet and will be the X axis. Y values on the
plot will be the value in the table. (chick weight) Y maximum should
be larger than the max value in the diet 1 portion of the table.
Additionally if a chick's number is even I would like to plot it's
results in green, if it's odd then plot in red. The plot should
use a
line type so that in the general case I could trace an individual
chick's progress on the diet. I don't care if I use plot vs any
other
command that would make a plot with colored lines. I would *prefer*
that the code discovers where in DietResults the column entitled "0"
is as I don't know where the beginning of the data will be based on
how many variables I bin for in cast.
Hopefully this is relatively straight forward to do. If it isn't
then maybe I can understand why and do something better with cast to
make it easy. My real data set is much larger and has a lot of
different bins for both selection, colorizing and line type but
after
using ReShape it looks similar to this one so this plot would be
helpful to me.
Thanks,
Mark
______________________________________________
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.