Re: [R] panel.linejoin groups
On 9/23/05, Erin Berryman <[EMAIL PROTECTED]> wrote: > Both methods you listed do work, but type='l' is what I want, thank you > for pointing that out to me. Incidentally, xyplot(type='l') printed > much faster on the display than the panel.groups=() method. Not surprising if you have many values of 'Date', since panel.linejoin will try to compute the mean (of a length-1 vector) for each combination of Date and groups. Deepayan __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] panel.linejoin groups
Both methods you listed do work, but type='l' is what I want, thank you
for pointing that out to me. Incidentally, xyplot(type='l') printed
much faster on the display than the panel.groups=() method. I was
captivated by linejoin before I ever had a case to use
xyplot(type='l'), which would explain why I tried to use it for this
type of plot!
On Sep 23, 2005, at 1:01 PM, Deepayan Sarkar wrote:
> On 9/23/05, Erin Berryman <[EMAIL PROTECTED]> wrote:
>> Dear R community,
>>
>> I am still new to R, but I am attempting to use it for (hopefully) all
>> my plotting needs. I have been using lattice and Hmisc for most plots
>> so far successfully, but I need help creating a plot I desire for some
>> new data I have.
>> This data frame consists of the same type of measurement (Eh) for 27
>> different locations. I have 8000+ measurements for each location, and
>> my datalogger organizes the output like this:
>>
>> DateA1L A2L
>> A3L
>> 2005-07-14 22:00208.1 -178.5 196.8
>> 2005-07-14 22:10207.9 -184.3 200.0
>>
>> Now I'm having trouble plotting A1L, A2L, A3L on the same plot as a
>> function of Date. I thought I would try panel.linejoin, like so:
>>
>> xyplot(data=redox2, A1L + A2L + A3L ~ Date,
>> panel=function(x,y,...){panel.linejoin(x,y,horizontal=F,col=1,...)},
>> scales=list(x=list(tick.number=10)))
>>
>> But of course, what I get is the mean of the measurements from those
>> three columns plotted as one line, when what I want is a separate line
>> for each column of data. Do I need to define "groups" somehow to get
>> separate lines? If so, how do I define groups based on membership in
>> different columns? Or do I just need to reorganize my data to make it
>> work, like this:
>>
>> DateLocationEh
>> 2005-07-14 22:00A1L 208.1
>> 2005-07-14 22:00A2L -178.5
>>
>> Then I can define groups=Location, and it would work. But it would be
>> good to know if I can make the data work as is - because I have many
>> many more datasets that are structured this way.
>
> Yes, simply supply 'panel.groups' instead of 'panel'
>
> panel.groups = function(x,y,...) {
> panel.linejoin(x,y,horizontal=F,col=1,...) },
>
> panel.linejoin doesn't know anything about groups, and has to be used
> through panel.superpose (which does). However, the more obvious
> approach seems to be
>
> xyplot(A1L + A2L + A3L ~ Date, data=redox2,
>type = 'l',
>scales=list(x=list(tick.number=10)))
>
> Does that not work? panel.linejoin is meant for cases where several
> observations need to be summarized by a single number (mean, median,
> etc).
>
> BTW, it's not a good idea to have anything other than the formula as
> the first argument to xyplot etc.
>
> Deepayan
>
Erin M. Berryman
Graduate Research Assistant
Department of Soil, Water, and Climate
University of Minnesota
612.625.9747
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] panel.linejoin groups
On 9/23/05, Erin Berryman <[EMAIL PROTECTED]> wrote:
> Dear R community,
>
> I am still new to R, but I am attempting to use it for (hopefully) all
> my plotting needs. I have been using lattice and Hmisc for most plots
> so far successfully, but I need help creating a plot I desire for some
> new data I have.
> This data frame consists of the same type of measurement (Eh) for 27
> different locations. I have 8000+ measurements for each location, and
> my datalogger organizes the output like this:
>
> DateA1L A2L
> A3L
> 2005-07-14 22:00208.1 -178.5 196.8
> 2005-07-14 22:10207.9 -184.3 200.0
>
> Now I'm having trouble plotting A1L, A2L, A3L on the same plot as a
> function of Date. I thought I would try panel.linejoin, like so:
>
> xyplot(data=redox2, A1L + A2L + A3L ~ Date,
> panel=function(x,y,...){panel.linejoin(x,y,horizontal=F,col=1,...)},
> scales=list(x=list(tick.number=10)))
>
> But of course, what I get is the mean of the measurements from those
> three columns plotted as one line, when what I want is a separate line
> for each column of data. Do I need to define "groups" somehow to get
> separate lines? If so, how do I define groups based on membership in
> different columns? Or do I just need to reorganize my data to make it
> work, like this:
>
> DateLocationEh
> 2005-07-14 22:00A1L 208.1
> 2005-07-14 22:00A2L -178.5
>
> Then I can define groups=Location, and it would work. But it would be
> good to know if I can make the data work as is - because I have many
> many more datasets that are structured this way.
Yes, simply supply 'panel.groups' instead of 'panel'
panel.groups = function(x,y,...) { panel.linejoin(x,y,horizontal=F,col=1,...) },
panel.linejoin doesn't know anything about groups, and has to be used
through panel.superpose (which does). However, the more obvious
approach seems to be
xyplot(A1L + A2L + A3L ~ Date, data=redox2,
type = 'l',
scales=list(x=list(tick.number=10)))
Does that not work? panel.linejoin is meant for cases where several
observations need to be summarized by a single number (mean, median,
etc).
BTW, it's not a good idea to have anything other than the formula as
the first argument to xyplot etc.
Deepayan
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] panel.linejoin groups
Dear R community,
I am still new to R, but I am attempting to use it for (hopefully) all
my plotting needs. I have been using lattice and Hmisc for most plots
so far successfully, but I need help creating a plot I desire for some
new data I have.
This data frame consists of the same type of measurement (Eh) for 27
different locations. I have 8000+ measurements for each location, and
my datalogger organizes the output like this:
DateA1L A2L
A3L
2005-07-14 22:00208.1 -178.5 196.8
2005-07-14 22:10207.9 -184.3 200.0
Now I'm having trouble plotting A1L, A2L, A3L on the same plot as a
function of Date. I thought I would try panel.linejoin, like so:
xyplot(data=redox2, A1L + A2L + A3L ~ Date,
panel=function(x,y,...){panel.linejoin(x,y,horizontal=F,col=1,...)},
scales=list(x=list(tick.number=10)))
But of course, what I get is the mean of the measurements from those
three columns plotted as one line, when what I want is a separate line
for each column of data. Do I need to define "groups" somehow to get
separate lines? If so, how do I define groups based on membership in
different columns? Or do I just need to reorganize my data to make it
work, like this:
DateLocationEh
2005-07-14 22:00A1L 208.1
2005-07-14 22:00A2L -178.5
Then I can define groups=Location, and it would work. But it would be
good to know if I can make the data work as is - because I have many
many more datasets that are structured this way.
Thank you,
Erin
Erin M. Berryman
Graduate Research Assistant
Department of Soil, Water, and Climate
University of Minnesota
439 Borlaug Hall
1991 Upper Buford Circle
St. Paul, MN 55104
612.625.9747
[EMAIL PROTECTED]
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
