a very particular plot

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 <djmuser at 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.bentley at 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.bentley at 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 <hadley at 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.bentley at 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]]

--
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]]

Ggplot will only produce legends based on factors. Integers are not factors.

"Ian Bentley" <ian.bentley at 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 <djmuser at 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.bentley at 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.bentley at 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 <hadley at 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.bentley at 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]]

--
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]]

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