On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com> wrote:
> Hi all,

> Thanks for the really great help I've received on this board in the past.

> I have a very particular graph that I'm trying to plot, and I'm not really
> sure how to do it.  I think I should be able to use ggplot for this, but I'm
> not really sure how.

> I have a data.frame which contains fifty sub frames containing one hundred
> data points each.

> I can do a histogram of each of these sub frames individually, and see the
> distribution.  I can also plot the mean & standard deviation of the fifty
> together in one plot, where the x axis identifies the subframe to which it
> refers.

> What I'd like to do is combine these two things, so that I have a 2 -d
> graph.

> The x axis specifies the sub-frame.
> The y axis is just the data.

> Each x column plots the minimum of the data in the sub frame, the maximum,
> and the median, as points.  AND each x column also displays histogram data,
> so that the y values which have more density in the subframe are darker, and
> the ones with less density are lighter.

> I know this is fairly particular, and may not be possible, but it would be
> really great for me!

> If anyone can help - thanks!

> --
> Ian Bentley
> M.Sc. Candidate
> Queen's University
> Kingston, Ontario

>        [[alternative HTML version deleted]]

> ______________________________________________
> R-h...@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.

> Thanks to both of you!

> I was able to get exactly the plot I was looking for!

> Ian

> On 11 July 2010 09:30, Hadley Wickham <had...@rice.edu> wrote:

>> Hi Ian,

>> Have a look at the examples in http://had.co.nz/ggplot2/geom_tile.html
>> for some ideas on how to do this with ggplot2.

>> Hadley

>> On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com>
>> wrote:
>> > Hi all,

>> > Thanks for the really great help I've received on this board in the
>> past.

>> > I have a very particular graph that I'm trying to plot, and I'm not
>> really
>> > sure how to do it.  I think I should be able to use ggplot for this, but
>> I'm
>> > not really sure how.

>> > I have a data.frame which contains fifty sub frames containing one
>> hundred
>> > data points each.

>> > I can do a histogram of each of these sub frames individually, and see
>> the
>> > distribution.  I can also plot the mean & standard deviation of the
>> fifty
>> > together in one plot, where the x axis identifies the subframe to which
>> it
>> > refers.

>> > What I'd like to do is combine these two things, so that I have a 2 -d
>> > graph.

>> > The x axis specifies the sub-frame.
>> > The y axis is just the data.

>> > Each x column plots the minimum of the data in the sub frame, the
>> maximum,
>> > and the median, as points.  AND each x column also displays histogram
>> data,
>> > so that the y values which have more density in the subframe are darker,
>> and
>> > the ones with less density are lighter.

>> > I know this is fairly particular, and may not be possible, but it would
>> be
>> > really great for me!

>> > If anyone can help - thanks!

>> > --
>> > Ian Bentley
>> > M.Sc. Candidate
>> > Queen's University
>> > Kingston, Ontario

>> >        [[alternative HTML version deleted]]

>> > ______________________________________________
>> > R-h...@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.

>> --
>> Assistant Professor / Dobelman Family Junior Chair
>> Department of Statistics / Rice University
>> http://had.co.nz/

> --
> Ian Bentley
> M.Sc. Candidate
> Queen's University
> Kingston, Ontario

> Hi:

> This is untested, so caveat emptor. I believe Hadley is busy teaching a
> ggplot2 course this week so his availability is limited at best. I guess I
> can give it a shot...

> You need a scale_shape_* construct to add to your plot, perhaps something
> like

> scale_shape_manual('Statistic', breaks = 1:3, labels = c('Min', 'Median',
> 'Max'), solid = TRUE)

> The 'Statistic' puts a title on the legend, the breaks argument should
> supply the values of the shapes,
> the labels argument should provide the label to associate to each shape,
> and solid = TRUE should
> produce the same behavior as in the geom_point() calls wrt shapes. [Notice
> how I say 'should'...]

> No guarantees this will work - scales are one of my greatest frustrations
> in ggplot2. Expect this to be the first of several iterations you'll have to
> go through to get it to work the way you want.

> HTH,
> Dennis

> On Tue, Jul 13, 2010 at 4:32 PM, Ian Bentley <ian.bent...@gmail.com>wrote:

>> I've got a couple of more changes that I want to make to my plot, and I
>> can't figure things out.  Thanks for all the help.

>> I'm using this R script

>> library(ggplot2)
>> library(lattice)
>> # Generate 50 data sets of size 100 and assign them to a list object

>> low <- 1
>> n <- 50
>> #Load data from file
>> for(i in low:n) assign(paste('df', i, sep = ''),
>>         read.table(paste("tot-LinkedList",i*100,"query.log",sep=''),
>> header=TRUE))

>> dnames <- paste('df', low:n, sep = '')
>> l <- vector('list', n)
>> for(i in seq_along(dnames)) l[[i]] <- with(get(dnames[i]), Send + Receive)
>> ml <- melt(l)

>> dsum <- ddply(ml, 'L1', summarise, mins = min(value), meds =
>> median(value),
>>               maxs = max(value))

>> p <- ggplot(ml, aes(x = L1*100, y = value)) +
>>     geom_point(alpha = 0.2) +
>>     geom_point(data = dsum, aes(y = mins), shape = 1, size = 3,
>> solid=TRUE, colour='blue') +
>>     geom_point(data = dsum, aes(y = meds), shape = 2, size = 3,
>> solid=TRUE, colour='blue') +
>>     geom_point(data = dsum, aes(y = maxs), shape = 3, size = 3,
>> solid=TRUE, colour='blue') +
>>     geom_smooth(data = dsum, aes(y = mins)) +
>>     geom_smooth(data = dsum, aes(y = meds)) +
>>     geom_smooth(data = dsum, aes(y = maxs)) +
>>     opts(axis.text.x = theme_text(size = 7, angle = 90, hjust = 1), title
>> = 'Linked List Query Costs Increasing Network Size')  +
>>     xlab('Network Complexity (nodes)') + ylab('Battery Cost (uJ)') +

>> --END--

>> And this works great, except that I think that I am not being very R'y,
>> since now I want to add a legend saying that circle (i.e. shape 1) is the
>> minimum, and shape 2 is the med, and shape 3 is max.

>> I'd also like to be able to move the legend to the top left part of the
>> plot since that area is empty anyways.

>> Is there any way that I can do it easily?

>> Thanks
>> Ian

>> On 11 July 2010 10:29, Ian Bentley <ian.bent...@gmail.com> wrote:

>>> Thanks to both of you!

>>> I was able to get exactly the plot I was looking for!

>>> Ian

>>> On 11 July 2010 09:30, Hadley Wickham <had...@rice.edu> wrote:

>>>> Hi Ian,

>>>> Have a look at the examples in http://had.co.nz/ggplot2/geom_tile.html
>>>> for some ideas on how to do this with ggplot2.

>>>> Hadley

>>>> On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com>
>>>> wrote:
>>>> > Hi all,

>>>> > Thanks for the really great help I've received on this board in the
>>>> past.

>>>> > I have a very particular graph that I'm trying to plot, and I'm not
>>>> really
>>>> > sure how to do it.  I think I should be able to use ggplot for this,
>>>> but I'm
>>>> > not really sure how.

>>>> > I have a data.frame which contains fifty sub frames containing one
>>>> hundred
>>>> > data points each.

>>>> > I can do a histogram of each of these sub frames individually, and see
>>>> the
>>>> > distribution.  I can also plot the mean & standard deviation of the
>>>> fifty
>>>> > together in one plot, where the x axis identifies the subframe to
>>>> which it
>>>> > refers.

>>>> > What I'd like to do is combine these two things, so that I have a 2 -d
>>>> > graph.

>>>> > The x axis specifies the sub-frame.
>>>> > The y axis is just the data.

>>>> > Each x column plots the minimum of the data in the sub frame, the
>>>> maximum,
>>>> > and the median, as points.  AND each x column also displays histogram
>>>> data,
>>>> > so that the y values which have more density in the subframe are
>>>> darker, and
>>>> > the ones with less density are lighter.

>>>> > I know this is fairly particular, and may not be possible, but it
>>>> would be
>>>> > really great for me!

>>>> > If anyone can help - thanks!

>>>> > --
>>>> > Ian Bentley
>>>> > M.Sc. Candidate
>>>> > Queen's University
>>>> > Kingston, Ontario

>>>> >        [[alternative HTML version deleted]]

>>>> > ______________________________________________
>>>> > R-h...@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.

>>>> --
>>>> Assistant Professor / Dobelman Family Junior Chair
>>>> Department of Statistics / Rice University
>>>> http://had.co.nz/

>>> --
>>> Ian Bentley
>>> M.Sc. Candidate
>>> Queen's University
>>> Kingston, Ontario

>> --
>> Ian Bentley
>> M.Sc. Candidate
>> Queen's University
>> Kingston, Ontario

"Ian Bentley" <ian.bent...@gmail.com> wrote:
>Hi Dennis,

>Thanks for the quick reply.
>Once I removed solid = TRUE, which was giving errors, the code is accepted
>fine.

>It's strange though, no legend appears.  Even when I try something simple
>like:
>p + scale_shape_manual(values=1:3)

>No legend appears.  I can't find any similar problems on google.

>Thanks again,
>Ian

>On 14 July 2010 03:56, Dennis Murphy <djmu...@gmail.com> wrote:

>> Hi:

>> This is untested, so caveat emptor. I believe Hadley is busy teaching a
>> ggplot2 course this week so his availability is limited at best. I guess I
>> can give it a shot...

>> You need a scale_shape_* construct to add to your plot, perhaps something
>> like

>> scale_shape_manual('Statistic', breaks = 1:3, labels = c('Min', 'Median',
>> 'Max'), solid = TRUE)

>> The 'Statistic' puts a title on the legend, the breaks argument should
>> supply the values of the shapes,
>> the labels argument should provide the label to associate to each shape,
>> and solid = TRUE should
>> produce the same behavior as in the geom_point() calls wrt shapes. [Notice
>> how I say 'should'...]

>> No guarantees this will work - scales are one of my greatest frustrations
>> in ggplot2. Expect this to be the first of several iterations you'll have to
>> go through to get it to work the way you want.

>> HTH,
>> Dennis

>> On Tue, Jul 13, 2010 at 4:32 PM, Ian Bentley <ian.bent...@gmail.com>wrote:

>>> I've got a couple of more changes that I want to make to my plot, and I
>>> can't figure things out.  Thanks for all the help.

>>> I'm using this R script

>>> library(ggplot2)
>>> library(lattice)
>>> # Generate 50 data sets of size 100 and assign them to a list object

>>> low <- 1
>>> n <- 50
>>> #Load data from file
>>> for(i in low:n) assign(paste('df', i, sep = ''),
>>>         read.table(paste("tot-LinkedList",i*100,"query.log",sep=''),
>>> header=TRUE))

>>> dnames <- paste('df', low:n, sep = '')
>>> l <- vector('list', n)
>>> for(i in seq_along(dnames)) l[[i]] <- with(get(dnames[i]), Send + Receive)
>>> ml <- melt(l)

>>> dsum <- ddply(ml, 'L1', summarise, mins = min(value), meds =
>>> median(value),
>>>               maxs = max(value))

>>> p <- ggplot(ml, aes(x = L1*100, y = value)) +
>>>     geom_point(alpha = 0.2) +
>>>     geom_point(data = dsum, aes(y = mins), shape = 1, size = 3,
>>> solid=TRUE, colour='blue') +
>>>     geom_point(data = dsum, aes(y = meds), shape = 2, size = 3,
>>> solid=TRUE, colour='blue') +
>>>     geom_point(data = dsum, aes(y = maxs), shape = 3, size = 3,
>>> solid=TRUE, colour='blue') +
>>>     geom_smooth(data = dsum, aes(y = mins)) +
>>>     geom_smooth(data = dsum, aes(y = meds)) +
>>>     geom_smooth(data = dsum, aes(y = maxs)) +
>>>     opts(axis.text.x = theme_text(size = 7, angle = 90, hjust = 1), title
>>> = 'Linked List Query Costs Increasing Network Size')  +
>>>     xlab('Network Complexity (nodes)') + ylab('Battery Cost (uJ)') +

>>> --END--

>>> And this works great, except that I think that I am not being very R'y,
>>> since now I want to add a legend saying that circle (i.e. shape 1) is the
>>> minimum, and shape 2 is the med, and shape 3 is max.

>>> I'd also like to be able to move the legend to the top left part of the
>>> plot since that area is empty anyways.

>>> Is there any way that I can do it easily?

>>> Thanks
>>> Ian

>>> On 11 July 2010 10:29, Ian Bentley <ian.bent...@gmail.com> wrote:

>>>> Thanks to both of you!

>>>> I was able to get exactly the plot I was looking for!

>>>> Ian

>>>> On 11 July 2010 09:30, Hadley Wickham <had...@rice.edu> wrote:

>>>>> Hi Ian,

>>>>> Have a look at the examples in http://had.co.nz/ggplot2/geom_tile.html
>>>>> for some ideas on how to do this with ggplot2.

>>>>> Hadley

>>>>> On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com>
>>>>> wrote:
>>>>> > Hi all,

>>>>> > Thanks for the really great help I've received on this board in the
>>>>> past.

>>>>> > I have a very particular graph that I'm trying to plot, and I'm not
>>>>> really
>>>>> > sure how to do it.  I think I should be able to use ggplot for this,
>>>>> but I'm
>>>>> > not really sure how.

>>>>> > I have a data.frame which contains fifty sub frames containing one
>>>>> hundred
>>>>> > data points each.

>>>>> > I can do a histogram of each of these sub frames individually, and see
>>>>> the
>>>>> > distribution.  I can also plot the mean & standard deviation of the
>>>>> fifty
>>>>> > together in one plot, where the x axis identifies the subframe to
>>>>> which it
>>>>> > refers.

>>>>> > What I'd like to do is combine these two things, so that I have a 2 -d
>>>>> > graph.

>>>>> > The x axis specifies the sub-frame.
>>>>> > The y axis is just the data.

>>>>> > Each x column plots the minimum of the data in the sub frame, the
>>>>> maximum,
>>>>> > and the median, as points.  AND each x column also displays histogram
>>>>> data,
>>>>> > so that the y values which have more density in the subframe are
>>>>> darker, and
>>>>> > the ones with less density are lighter.

>>>>> > I know this is fairly particular, and may not be possible, but it
>>>>> would be
>>>>> > really great for me!

>>>>> > If anyone can help - thanks!

>>>>> > --
>>>>> > Ian Bentley
>>>>> > M.Sc. Candidate
>>>>> > Queen's University
>>>>> > Kingston, Ontario

>>>>> >        [[alternative HTML version deleted]]

>>>>> > ______________________________________________
>>>>> > R-h...@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.

>>>>> --
>>>>> Assistant Professor / Dobelman Family Junior Chair
>>>>> Department of Statistics / Rice University
>>>>> http://had.co.nz/

>>>> --
>>>> Ian Bentley
>>>> M.Sc. Candidate
>>>> Queen's University
>>>> Kingston, Ontario

>>> --
>>> Ian Bentley
>>> M.Sc. Candidate
>>> Queen's University
>>> Kingston, Ontario

>--
>Ian Bentley
>M.Sc. Candidate
>Queen's University
>Kingston, Ontario

>    [[alternative HTML version deleted]]

>______________________________________________
>R-h...@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.

<jdnew...@dcn.davis.ca.us> wrote:
> Ggplot will only produce legends based on factors. Integers are not factors.

> "Ian Bentley" <ian.bent...@gmail.com> wrote:

>>Hi Dennis,

>>Thanks for the quick reply.
>>Once I removed solid = TRUE, which was giving errors, the code is accepted
>>fine.

>>It's strange though, no legend appears.  Even when I try something simple
>>like:
>>p + scale_shape_manual(values=1:3)

>>No legend appears.  I can't find any similar problems on google.

>>Thanks again,
>>Ian

>>On 14 July 2010 03:56, Dennis Murphy <djmu...@gmail.com> wrote:

>>> Hi:

>>> This is untested, so caveat emptor. I believe Hadley is busy teaching a
>>> ggplot2 course this week so his availability is limited at best. I guess I
>>> can give it a shot...

>>> You need a scale_shape_* construct to add to your plot, perhaps something
>>> like

>>> scale_shape_manual('Statistic', breaks = 1:3, labels = c('Min', 'Median',
>>> 'Max'), solid = TRUE)

>>> The 'Statistic' puts a title on the legend, the breaks argument should
>>> supply the values of the shapes,
>>> the labels argument should provide the label to associate to each shape,
>>> and solid = TRUE should
>>> produce the same behavior as in the geom_point() calls wrt shapes. [Notice
>>> how I say 'should'...]

>>> No guarantees this will work - scales are one of my greatest frustrations
>>> in ggplot2. Expect this to be the first of several iterations you'll have to
>>> go through to get it to work the way you want.

>>> HTH,
>>> Dennis

>>> On Tue, Jul 13, 2010 at 4:32 PM, Ian Bentley <ian.bent...@gmail.com>wrote:

>>>> I've got a couple of more changes that I want to make to my plot, and I
>>>> can't figure things out.  Thanks for all the help.

>>>> I'm using this R script

>>>> library(ggplot2)
>>>> library(lattice)
>>>> # Generate 50 data sets of size 100 and assign them to a list object

>>>> low <- 1
>>>> n <- 50
>>>> #Load data from file
>>>> for(i in low:n) assign(paste('df', i, sep = ''),
>>>>         read.table(paste("tot-LinkedList",i*100,"query.log",sep=''),
>>>> header=TRUE))

>>>> dnames <- paste('df', low:n, sep = '')
>>>> l <- vector('list', n)
>>>> for(i in seq_along(dnames)) l[[i]] <- with(get(dnames[i]), Send + Receive)
>>>> ml <- melt(l)

>>>> dsum <- ddply(ml, 'L1', summarise, mins = min(value), meds =
>>>> median(value),
>>>>               maxs = max(value))

>>>> p <- ggplot(ml, aes(x = L1*100, y = value)) +
>>>>     geom_point(alpha = 0.2) +
>>>>     geom_point(data = dsum, aes(y = mins), shape = 1, size = 3,
>>>> solid=TRUE, colour='blue') +
>>>>     geom_point(data = dsum, aes(y = meds), shape = 2, size = 3,
>>>> solid=TRUE, colour='blue') +
>>>>     geom_point(data = dsum, aes(y = maxs), shape = 3, size = 3,
>>>> solid=TRUE, colour='blue') +
>>>>     geom_smooth(data = dsum, aes(y = mins)) +
>>>>     geom_smooth(data = dsum, aes(y = meds)) +
>>>>     geom_smooth(data = dsum, aes(y = maxs)) +
>>>>     opts(axis.text.x = theme_text(size = 7, angle = 90, hjust = 1), title
>>>> = 'Linked List Query Costs Increasing Network Size')  +
>>>>     xlab('Network Complexity (nodes)') + ylab('Battery Cost (uJ)') +

>>>> --END--

>>>> And this works great, except that I think that I am not being very R'y,
>>>> since now I want to add a legend saying that circle (i.e. shape 1) is the
>>>> minimum, and shape 2 is the med, and shape 3 is max.

>>>> I'd also like to be able to move the legend to the top left part of the
>>>> plot since that area is empty anyways.

>>>> Is there any way that I can do it easily?

>>>> Thanks
>>>> Ian

>>>> On 11 July 2010 10:29, Ian Bentley <ian.bent...@gmail.com> wrote:

>>>>> Thanks to both of you!

>>>>> I was able to get exactly the plot I was looking for!

>>>>> Ian

>>>>> On 11 July 2010 09:30, Hadley Wickham <had...@rice.edu> wrote:

>>>>>> Hi Ian,

>>>>>> Have a look at the examples in http://had.co.nz/ggplot2/geom_tile.html
>>>>>> for some ideas on how to do this with ggplot2.

>>>>>> Hadley

>>>>>> On Sat, Jul 10, 2010 at 8:10 PM, Ian Bentley <ian.bent...@gmail.com>
>>>>>> wrote:
>>>>>> > Hi all,

>>>>>> > Thanks for the really great help I've received on this board in the
>>>>>> past.

>>>>>> > I have a very particular graph that I'm trying to plot, and I'm not
>>>>>> really
>>>>>> > sure how to do it.  I think I should be able to use ggplot for this,
>>>>>> but I'm
>>>>>> > not really sure how.

>>>>>> > I have a data.frame which contains fifty sub frames containing one
>>>>>> hundred
>>>>>> > data points each.

>>>>>> > I can do a histogram of each of these sub frames individually, and see
>>>>>> the
>>>>>> > distribution.  I can also plot the mean & standard deviation of the
>>>>>> fifty
>>>>>> > together in one plot, where the x axis identifies the subframe to
>>>>>> which it
>>>>>> > refers.

>>>>>> > What I'd like to do is combine these two things, so that I have a 2 -d
>>>>>> > graph.

>>>>>> > The x axis specifies the sub-frame.
>>>>>> > The y axis is just the data.

>>>>>> > Each x column plots the minimum of the data in the sub frame, the
>>>>>> maximum,
>>>>>> > and the median, as points.  AND each x column also displays histogram
>>>>>> data,
>>>>>> > so that the y values which have more density in the subframe are
>>>>>> darker, and
>>>>>> > the ones with less density are lighter.

>>>>>> > I know this is fairly particular, and may not be possible, but it
>>>>>> would be
>>>>>> > really great for me!

>>>>>> > If anyone can help - thanks!

>>>>>> > --
>>>>>> > Ian Bentley
>>>>>> > M.Sc. Candidate
>>>>>> > Queen's University
>>>>>> > Kingston, Ontario

>>>>>> >        [[alternative HTML version deleted]]

>>>>>> > ______________________________________________
>>>>>> > R-h...@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.

>>>>>> --
>>>>>> Assistant Professor / Dobelman Family Junior Chair
>>>>>> Department of Statistics / Rice University
>>>>>> http://had.co.nz/

>>>>> --
>>>>> Ian Bentley
>>>>> M.Sc. Candidate
>>>>> Queen's University
>>>>> Kingston, Ontario

>>>> --
>>>> Ian Bentley
>>>> M.Sc. Candidate
>>>> Queen's University
>>>> Kingston, Ontario

>>--
>>Ian Bentley
>>M.Sc. Candidate
>>Queen's University
>>Kingston, Ontario

>>       [[alternative HTML version deleted]]

>>______________________________________________
>>R-h...@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.

> ---------------------------------------------------------------------------
> Jeff Newmiller                        The     .....       .....  Go Live...
> DCN:<jdnew...@dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live Go...
>                                      Live:   OO#.. Dead: OO#..  Playing
> Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
> /Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
> ---------------------------------------------------------------------------
> Sent from my phone. Please excuse my brevity.

> ______________________________________________
> R-h...@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.

On Wed, Jul 14, 2010 at 1:32 AM, Ian Bentley <ian.bent...@gmail.com> wrote:
> I've got a couple of more changes that I want to make to my plot, and I
> can't figure things out.  Thanks for all the help.

> I'm using this R script

> library(ggplot2)
> library(lattice)
> # Generate 50 data sets of size 100 and assign them to a list object

> low <- 1
> n <- 50
> #Load data from file
> for(i in low:n) assign(paste('df', i, sep = ''),
>         read.table(paste("tot-LinkedList",i*100,"query.log",sep=''),
> header=TRUE))

> dnames <- paste('df', low:n, sep = '')
> l <- vector('list', n)
> for(i in seq_along(dnames)) l[[i]] <- with(get(dnames[i]), Send + Receive)
> ml <- melt(l)

> dsum <- ddply(ml, 'L1', summarise, mins = min(value), meds = median(value),
>               maxs = max(value))

> p <- ggplot(ml, aes(x = L1*100, y = value)) +
>     geom_point(alpha = 0.2) +
>     geom_point(data = dsum, aes(y = mins), shape = 1, size = 3, solid=TRUE,
> colour='blue') +
>     geom_point(data = dsum, aes(y = meds), shape = 2, size = 3, solid=TRUE,
> colour='blue') +
>     geom_point(data = dsum, aes(y = maxs), shape = 3, size = 3, solid=TRUE,
> colour='blue') +
>     geom_smooth(data = dsum, aes(y = mins)) +
>     geom_smooth(data = dsum, aes(y = meds)) +
>     geom_smooth(data = dsum, aes(y = maxs)) +
>     opts(axis.text.x = theme_text(size = 7, angle = 90, hjust = 1), title =
> 'Linked List Query Costs Increasing Network Size')  +
>     xlab('Network Complexity (nodes)') + ylab('Battery Cost (uJ)') +

> --END--

> And this works great, except that I think that I am not being very R'y,
> since now I want to add a legend saying that circle (i.e. shape 1) is the
> minimum, and shape 2 is the med, and shape 3 is max.

> I'd also like to be able to move the legend to the top left part of the plot
> since that area is empty anyways.

> Is there any way that I can do it easily?