Hi Tyler,
> I've attached 100 rows of a data frame I am working with.
> I have one factor, id, with 27 levels. There are two columns of reference
> data, x and y (UTM coordinates), one column "date" in POSIXct format, and
> one column "diff" in times format (chron package).
>
> What I am trying t
> However, on a more fundamental "programming philosophy" note, the fact
> that R does not allow multiple references to one object is a limitation.
> One of the fundamental principles of good programming is that there
> should be a one-to-one correspondence between instances in the program
> and ob
2008/6/20 [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
> On 20 июн, 11:06, Wacek Kusnierczyk
> <[EMAIL PROTECTED]> wrote:
>> the result may be that the more beautiful the code, the more the performance
>> sucks.
>
> Sad but true.
If you do nothing to your code, in 18 months time its performance will
hav
On Sat, Jun 21, 2008 at 1:00 AM, Mark Farnell <[EMAIL PROTECTED]> wrote:
> I wish to draw a graph representing multiple series (sets of x,y
> points). Each series has its own label and points within each series
> are joined by a line ordered by their X cooridnate.
>
> I would also like a legend au
On Sat, Jun 21, 2008 at 3:36 AM, Karin Lagesen <[EMAIL PROTECTED]> wrote:
>
> Hello list:)
>
> I have lots of values which I would like to get a histogram outline
> out of.
>
> An example of what I am talking about:
>
> testdata = runif(100)
> bbb = seq(0,1, by = 0.01)
> hist(testdata, breaks = bbb
On Tue, Jun 24, 2008 at 1:15 PM, Prof Brian Ripley
<[EMAIL PROTECTED]> wrote:
> On Tue, 24 Jun 2008, Richard Pearson wrote:
>
>> Wacek, many thanks! I'm wondering however whether this will be problematic
>> on Windows (I have no windows box to hand to check this, but am creating a
>> package that I
>> Or:
>>
>> tc <- textConnection(NULL, "w")
>> sink(tc)
>> ...
>> sink()
>> close(tc)
>
> That is a lot more expensive and subject to
>
>o Use of textConnection(NULL, mode="w") could segfault.
>
> (NEWS for 2.7.1). Output textConnections are convenient, but have quite a
> lot of overhead si
On Tue, Jun 24, 2008 at 3:32 AM, Thorsten Vogel
<[EMAIL PROTECTED]> wrote:
> Dear List Members
>
> As a relatively new R user I am extremely glad for there being a nice tool
> such as ggplot for producing easily nice graphs in R. Now I want to produce
> graphs with two y-axis. I know that this has
Hi Baptiste,
I've fixed this problem in the development version and you can work
around it in the cran version as follows:
ggplot(dfr, aes(fact2, values)) +
geom_point(aes(colour = fact)) +
geom_vline(intercept = 5)
(i.e. make sure the vline never sees that colour has been mapped to an
aesthetic
Hi Henning,
> It works, however i am not satisfied with the output. I would like to have
> the x-axis starting at "2006-08-01" and ending at "2007-08-31" with tick
> marks and labels and each 1st of the months.
Unfortunately this is a deficiency in the date scale - there's no way
to manually set
On Sun, Jul 6, 2008 at 6:33 AM, Pedro de Barros <[EMAIL PROTECTED]> wrote:
> Dear All,
>
> I have been trying to add lines to the axis grobs of plots produced with
> ggplot2.
>
> The code I have used is below. It works, although I do not think it is a
> really elegant way of doing what I want
>
On Sun, Jul 6, 2008 at 7:46 AM, Martin Henry H. Stevens
<[EMAIL PROTECTED]> wrote:
> Hi John,
> 1. I do not know why you remove the intercept in the lme model, but keep it
> in the aov model.
> 2. The distributional assumptions are shot --- you can't run any sort of
> normal model with these data.
Hi Humberto,
Instead of starting with a complicated model, how about producing some
graphics to aid your understand of the problem? For this example, I'd
think it would be revealing to look at the proportion of positive
track plates that were positive. If tracks was a variable that summed
up the
>> Suppose I have a vector of data.
>> Is there a method in R to help us automatically
>> suggest which distributions fits to that data
>> (e.g. normal, gamma, multinomial etc) ?
>>
>> - Gundala Viswanath
>> Jakarta - Indonesia
>>
>
> See
>
> https://stat.ethz.ch/pipermail/r-help/2008-June/166259.h
Hi All,
I'm trying trying to draw a colour wheel (a slice of hcl space) in R.
Running the code below doesn't give me what I expect - there's some
oddly bright colours of the wrong hue around c(0, 0) and I see three
coloured circles (a small magenta, a medium sized yellow and a large
cyan). Am I d
Hi Pedro,
Hmm, that's probably a bug in the way that ggplot2 is drawing the
lines. The good news is that the next version of ggplot has a much
more flexible theming system, so to get the same effect as your grid
code, all you'll need to do is:
theme_set(axis.line = theme_segment(colour = "black"
On Mon, Jul 7, 2008 at 10:18 AM, Eric Vander Wal <[EMAIL PROTECTED]> wrote:
> I have spent a fair amount of time looking for a package that is automated
> to run glm (binomial) regression models with all possible subsets of my
> independent variables. Something akin to Lumley's "leaps" package, bu
On Mon, Jul 7, 2008 at 1:05 PM, Earl F. Glynn <[EMAIL PROTECTED]> wrote:
> "hadley wickham" <[EMAIL PROTECTED]> wrote in message
> news:[EMAIL PROTECTED]
>> there's some
>> oddly bright colours of the wrong hue around c(0, 0) and I see three
>>
On Mon, Jul 7, 2008 at 12:51 PM, Josep Maria Campanera Alsina
<[EMAIL PROTECTED]> wrote:
> R experts,
>
> I have three columns. c1 and c2 are numeric variables whereas c3 are the
> clusters classes (nominal variable, 10 different: cluster1, cluster2,
> cluster3, cluster4, cluster5 ). I'd like t
On Mon, Jul 7, 2008 at 4:30 PM, Earl F. Glynn <[EMAIL PROTECTED]> wrote:
> "hadley wickham" <[EMAIL PROTECTED]> wrote in message
> news:[EMAIL PROTECTED]
>> On Mon, Jul 7, 2008 at 1:05 PM, Earl F. Glynn <[EMAIL PROTECTED]>
>> wrote:
>>>
> If you replace this by
> hcl$colour <- hcl(hcl$h, hcl$c, hcl$l, fixup = FALSE)
>
>> with(hcl, plot(x, y, col=colour, pch=20))
>
> Then, the resulting "wheel" has three overlapping "holes" corresponding to
> the colors previously fixed.
Oops, thanks for pointing that out.
> Also, as hue/chroma
> Given a data frame with a continuous variable and a factor. I would like to
> generate a histogram of the continuous variable, where each bar is filled
> with different colors according to the percentage of factor values falling
> into this region of the continuous variable.
How exactly do you w
On Wed, Jul 9, 2008 at 3:09 PM, Ben Bolker <[EMAIL PROTECTED]> wrote:
> Katharine Mullen few.vu.nl> writes:
>
>>
>> It is not an R package, but rather a collection of Fortran functions
>> that R uses from netlib:
>> http://www.netlib.org/port/
>>
>
> Where is Martin Maechler when we need him?
> "
What do you mean by equidistant? You can have three points that are
equidistant on the plane, but there's no way to add another point and
have it be the same distance from all of the existing points. (Unless
all the points are in the same place)
Hadley
On Wed, Jul 9, 2008 at 5:02 PM, hippie dre
On Thu, Jul 10, 2008 at 5:09 AM, Peter Dalgaard
<[EMAIL PROTECTED]> wrote:
> Tine wrote:
>> Hi!
>>
>> I was just wondering is there anyway to overload operator for custom
>> class.
>> For example:
>> I have two matrices A and B with same dimensions. I want to overload
>> operator '+' with my own fu
On Thu, Jul 10, 2008 at 11:06 AM, Daniel Malter <[EMAIL PROTECTED]> wrote:
>
> I hope you don't really want our patients :)
>
> It looks that you have an experiment with two groups. You have several
> trials for each group. And within each trial you observe your units a
> distinct points in time.
>
On Thu, Jul 10, 2008 at 3:28 PM, Jim Price <[EMAIL PROTECTED]> wrote:
>
> Playing with ggplot, something I'd promised myself I'd get around to. I've
> the following scenario:
>
> library(lattice)
> library(ggplot2)
>
> myData <- data.frame(
>x = rnorm(100),
>y = rnorm(100),
>
On Sat, Jul 12, 2008 at 7:44 AM, sj <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I am trying to do some fairly straightforward data summarization, i.e., the
> kind you would do with a pivot table in excel or by using SQL queires. I
> have a moderately sized data set of ~70,000 records and I am trying to
An alternative to enscript is highlight,
http://www.andre-simon.de/doku/highlight/en/highlight.html, which does
come with R highlighting built in.
Hadley
On Tue, Jul 15, 2008 at 2:57 PM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> Hi group!
>
> GNU enscript is a free (as in freedom) text file
> Am
> I right in thinking that this *should* also remove the -99s (NA
> values)? Because at present, the lower end ot the file looks like this:
Judging from your output, the -99's haven't been converted to NA's -
you can fix this (and the 88s) by doing:
PopDens[PopDens == -99] <- NA
PopDens[PopD
On Thu, Mar 20, 2008 at 5:45 AM, <[EMAIL PROTECTED]> wrote:
> Why do you think there is one? kmeans is an agglomerative clustering
> algorithm, not a recursively dividing one.
>
> Since there is no clustering hierarchy, so there is no dendrogram.
However, you could create a "clustergram":
@ar
Hi Bernd,
Something like:
qplot(mpg, wt, data=mtcars)
grid.gedit("xaxis::label::text", rot=45)
should do the trick. The only problem is that the automatic sizing is
set up to work with one orientation of labels. You might be able to
fudge a solution by experimenting with hjust and vjust, and
x
On Tue, Mar 25, 2008 at 9:49 AM, Pedro de Barros <[EMAIL PROTECTED]> wrote:
> Dear All,
>
> After having overcome the issue of legends (thanks, Thierry, once
> more), I am trying to use facetting, but here also I can not find how
> to do this. I do not want to use qplot, but rather the more flex
On Tue, Mar 25, 2008 at 11:48 AM, Tribo Laboy <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I want to be able to make a plot that has several series with
> different color and linetype.
> Online documentation suggest that this is possible, but I haven't found how:
>
> "We can also create redundant ma
On Tue, Mar 25, 2008 at 3:06 PM, Law, Jason
<[EMAIL PROTECTED]> wrote:
> Does Hadley's response to the following post still hold for the most recent
> version of ggplot2?
>
> http://tolstoy.newcastle.edu.au/R/e2/help/07/07/21347.html#21379qlink2
Yes, it does. It's still on my todo list, but I'm
Please read this first:
http://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf
It's a reasoned discussion of why it's a bad idea and proposes some
alternative methods.
Another good article is:
K. W. Haemer. Double scales are dangerous. The American Statistician,
On Wed, Mar 26, 2008 at 11:03 AM, Sebastian Weber
<[EMAIL PROTECTED]> wrote:
> Hello there,
>
> I'm trying to do lots of plots in one for-loop. But somehow ggplot does
> not evaluate arguments as expected. Here is an example:
>
> library(lattice)
> library(ggplot2)
> pl <- list()
> pl2 <- lis
On Wed, Mar 26, 2008 at 6:01 AM, Tribo Laboy <[EMAIL PROTECTED]> wrote:
> Apologies! I though that the Orange dataset comes with R, but it is in
> fact in the package "datasets".
>
> So here's another "Orange2" dataset for the example:
>
> Tree_v = rep(c(1:5),each = 5)
> age_v = rep(seq(1,25, b
> Ok, I will try that, thanks. BTW, where is this aes_string option
> documented, sounds useful? How could I do the same thing with facetting?
> If I want to save something like ". ~ groupVar" as a string in a
> variable, could I pass it with facet_string to ggplot?
It's a see also from ?aes (
> xydf <- data.frame(x = 1:5, y = 11:15)
> plt <- ggplot(data = xydf, aes(x = x,y = y)) + geom_point()
> attributes(plt)
>
> Now we can change the title:
>
> plt$title <- "My Title"
> plt
This is rather poorly documented, but the preferred way of setting the
title is now:
p + opts(title = "
On Fri, Mar 28, 2008 at 1:42 AM, Agustin Lobo <[EMAIL PROTECTED]> wrote:
> Thanks for your detailed explanation.
> You are right, a set of boxplots done with bwplot
> is a much better graphic for this type of data:
>
> bwplot(V1~VAR|f,data=datos2)
>
> This was not a good example. The barplot wo
> > Is there any other way I can do this.
> >
> > say row names are city schools
> > colnames are student names
> >
> Hi Adrian,
> Have you looked at color2d.matplot in the plotrix package?
>
> Jim
You might also want to check out the seriation package, which provides
tools to reorder you
> I think it looks like a spineplot.
Which is a special case of a mosiac plot with only two variables.
Hadley
PS. I suspect that the plot could be improved by ordering the x and y
variables by their marginal counts. (Although maybe the y axis
already has an ordering?)
--
http://had.co.nz/
> However, it looks this works only when the data are in the sequence
> of the levels in the factor defining the fill colours. When the
> sequence is different, the legend gets "scrambled", in that the order
> of the colours does not match the labels.
You can fix this by explicitly specifying
> I've got a series of graphs I generate in R to illustrate backup
> activity. These are scaled, primarily, in bytes. But different
> activities have different costs per byte, and I augment the bytes
> scale with dollars.
>
> http://docs.osg.ufl.edu/tsm/current/ext/UFEXCH-MBX01.AD.UFL.EDU-al
ggplot2
ggplot2 is a plotting system for R, based on the grammar of graphics,
which tries to take the good parts of base and lattice graphics and
avoid bad parts. It takes care of many of the fiddly details
that make plotting a hassle (l
On Fri, Apr 4, 2008 at 11:00 AM, Muenchen, Robert A (Bob)
<[EMAIL PROTECTED]> wrote:
> Dear R-Helpers,
>
> Why does R show character missing values in vectors as NA and when
> stored in a data frame as ? I've searched but did not find an
> explanation.
It's because that character vector is auto
Hi Tribo,
> I found 'ggopts', but it only returns some of the properties. Say I
> want to get the x- and y-axis limits, the tickmark locations, legend
> current position, the legend box and background color and set them to
> new values.
>
> Are these properties easily accessible (and modifia
Hi Pedro,
> I am trying to print some simple ggplot plots, but I would like to
> have no gridlines, and no border.
> I have achieved this using ggopt(grid.lines='NA', border.lines='NA').
>
> However, this also clears the axis lines, and reading the help, it
> looks like the "axis" objects hav
> Thanks for replying. I know that I can directly modify some of the
> properties of the plot object, but I was more interested in querying
> the current plot properties, something like:
>
> xlimits <- getggopts(pobj, "x_scale_limits")
>
> Is there anything like this implemented?
Ah, that's m
> We are new to R and evaluating if we can use it for a project we need to
> do. We have read that R is not well suited to handle very large data
> sets. Assuming we have the data prepped and stored in an RDBMS (Oracle,
> Teradata, SQL Server), what can R reasonably handle from a volume
> per
On Wed, Apr 9, 2008 at 10:12 AM, Thompson, David (MNR)
<[EMAIL PROTECTED]> wrote:
> Hello,
>
> How would I make the default behaviour of my plots produce output such
> as the following (i.e. tick marks inside on all axes, labels only on two
> (arbitrary?) sides) without needing the five addition
On Thu, Apr 10, 2008 at 8:36 AM, ONKELINX, Thierry
<[EMAIL PROTECTED]> wrote:
> Dear Anne-Katrin,
>
> You could use ggplot to do this. The example below works, although it
> generates some warnings.
>
> library(ggplot2)
> dataset <- data.frame(x = 0:55, y = rnorm(56, 10), z = runif(56, 9, 11))
> ## dummy group ID
> group <- sample(rep(1:3, each = 4))
> ## create dummy grouping factor
> group <- factor(group, labels = paste("group", 1:3))
> group
>
> # vector of colours
> cols <- c("red", "blue", "green")
> ## dummay data to plot
> datx <- runif(12)
> daty <- runif(12)
>
> ## p
On Sat, Apr 12, 2008 at 1:06 PM, Biago <[EMAIL PROTECTED]> wrote:
>
> Hi all - my first time here and am having an issue with the Predict function.
>
> I am using a tutorial as a guide, locate here:
> http://www.ats.ucla.edu/STAT/R/dae/mlogit.htm
>
> My code gives this error
>
> > newdata1$pre
Hi Pedro,
There's no particularly easy way to do this. However, you can create
the scales, train them manually, and then draw them in any way you
choose:
colour <- scale_colour_hue("My scale")
colour$train(factor(c("a","b")))
grid.newpage()
grid.draw(gglegend(colour$legend_desc(), list(colour="p
On Thu, Apr 17, 2008 at 8:05 PM, [Ricardo Rodriguez] Your XEN ICT Team
<[EMAIL PROTECTED]> wrote:
> Hi,
>
> I am trying to generate a group of graphics with an iteration. Some
> thing like this...
>
> x=1
> y=1
> max=10
> myfiles <- paste("foo", x:max, ".png", sep="")
> while (x =< max)
>
Hi all,
I'm having problems embedding fonts in my graphics - and I've tried
embedFonts to no avail. I have a pdf file and pdffonts tells me:
name type emb sub uni object ID
- --- --- --- -
Z
On Sat, Apr 19, 2008 at 1:06 PM, Tobias Verbeke
<[EMAIL PROTECTED]> wrote:
> Anna-Maria Tyrisevä wrote:
>
> > please, could somebody tell me how can I superpose a group of x,y-plot
> > points (using different symbols) that belong to a certain class of factor
> z?
> > Can't find a solution despi
On Mon, Apr 21, 2008 at 9:46 PM, Robert A. LaBudde <[EMAIL PROTECTED]> wrote:
> How does one ideally handle and display multidimenstional contingency
> tables in R v. 2.6.2?
>
> E.g.:
>
> > prob1<- data.frame(victim=c(rep('white',4),rep('black',4)),
> + perp=c(rep('white',2),rep('black',2),r
> I wouldn't dream of using a proprietary tool with a proprietary and
> closed format for this kind of thing EVER. If you want something more
> sophisticated than my Plain Text File solution then keep a 'NOTES.tex'
> file then you can include equations and graphics. Plus it's then trivial
> t
On Tue, Apr 22, 2008 at 8:24 AM, hadley wickham <[EMAIL PROTECTED]> wrote:
> On Mon, Apr 21, 2008 at 9:46 PM, Robert A. LaBudde <[EMAIL PROTECTED]> wrote:
> > How does one ideally handle and display multidimenstional contingency
> > tables in R v. 2.6.2?
> >
But is this behaviour a bug or by design?
Hadley
On Tue, Apr 22, 2008 at 10:47 AM, Prof Brian Ripley
<[EMAIL PROTECTED]> wrote:
> plot(0, 0, pch=21, bg="#FF22", col="#FF01")
>
> may be (close to) what you are looking for.
>
>
>
> On Tue, 22 Apr 2008, Karl Ove Hufthammer wrote:
>
> > R v
Hi Judith,
Could you provide a copy of your data as well? (Either as a csv file,
or by copying and pasting the output of dput(my.data.frame) or by
generating a data.frame of random numbers with the same structure as
your data). That will help people to see what your code does and
suggest improve
On Tue, Apr 22, 2008 at 2:00 PM, Alex Reynolds
<[EMAIL PROTECTED]> wrote:
> Many thanks to you and Peter Dalgaard for your advice. Instead of
> notches on a classic box plot, I have elected to draw a more
> "minimalized" box plot along the lines suggested by Tufte, and overlap a
> custom signifi
> Thanks Phipp very much for your help. I had meant, given that I'd
> computed the matrix f[x,y] and the vector e[x], how to take the
> difference. What is confusing is how to subtract a vector from a
> matrix. I don't want the recycling rule.
That function sounds like its describing how to sub
On Wed, Apr 23, 2008 at 4:23 PM, Mike Dugas <[EMAIL PROTECTED]> wrote:
> The answer to my post is yes (which I just figured out).
>
Switching from for to apply isn't going to speed up your code. If you
carefully read the source code of apply, you'll see the guts of the
work is done by:
for (i i
On Wed, Apr 23, 2008 at 7:31 PM, Mike Dugas <[EMAIL PROTECTED]> wrote:
> Thanks for the help. That explains why my time testing showed no
> difference. Is there any way to speed up the program? It is unbearably
> slow if I increase the number of loops.
Could you explain exactly what you're tryi
> Great suggestions. I tested the code on an example and the run time was
> reduced from 1 min 12 sec to 3 sec. Also, I like the suggestion to look at
> the quantiles. I will see what insight it provides in terms of detecting
> masked interactions.
Well that's a decent speed up :)
> I have a c
> Help files with alias or concept or title matching 'data type' using
> fuzzy matching:
> character-class(methods)
> Classes Corresponding to Basic Data Types
> sqlTypeInfo(RODBC) Request Information about DataTypes in an ODBC
> Database
>
On Wed, Apr 30, 2008 at 1:06 PM, Richard Saba <[EMAIL PROTECTED]> wrote:
> There seems to be an error in the summary() function when applied to "ts"
> class objects. The results of a call to summary( ), on the R "ts" data set
> USAccDeaths , reports the wrong value for Max. The value reported by
Hi Irene,
Assuming you have already calculated the standard errors, something
like the following will work:
library(ggplot2)
qplot(x, y, data=mydataframe, size = se)
Hadley
On Fri, May 2, 2008 at 8:52 AM, Irene Mantzouni <[EMAIL PROTECTED]> wrote:
> Dear list,
>
>
>
> I would like to produce a
On Fri, May 2, 2008 at 11:05 AM, Matt <[EMAIL PROTECTED]> wrote:
> Hi, I have a question about reformatting data. It looks like it should
> be simple, but I've been working at it for awhile now and it's about
> time I ask for help.
>
> My data look like this:
>
> ITEM VALUE STEP
> item1 A
On Fri, May 2, 2008 at 1:35 PM, Kerpel, John <[EMAIL PROTECTED]> wrote:
> Hi folks!
>
>
>
> How do I extract lags from a formula? An example:
>
>
>
> mod.eq<-formula(x~lag(x,-1)+lag(x,-2))
>
> > mod.eq
>
> x ~ lag(x, -1) + lag(x, -2)
>
> > mod.eq[1]
>
> "~"()
>
> > mod.eq[2]
>
> x()
>
> >
profr 0.1
profr provides an alternative data structure and display for profiling
data. It still uses Rprof() to collect the data, but outputs a
data.frame which should be easier to manipulate. It also implements a
novel visualisation which allows you to see the lengt
On Sat, May 3, 2008 at 9:00 PM, Tobias Erik Reiners
<[EMAIL PROTECTED]> wrote:
> Dear Helpers,
>
> I just started working with R and I'm a bit overloaded with information.
>
> My data is from marsupials reindroduced in a area. I have weight(wt), hind
> foot
> lenghts(pes) as continues variables
On Sun, May 4, 2008 at 2:30 PM, Georg Ehret <[EMAIL PROTECTED]> wrote:
> Dear R user group,
> I wish to plot small pie-charts to specific coordinates in a e.g.
> scatter-plot:
>
> E.g.:
> > plot(rnorm(100),rnorm(100))
> > points(1,1,col="red",cex=4)
> -> I wish to put pie(c(2,3)) at the p
On Mon, May 5, 2008 at 12:08 PM, hadley wickham <[EMAIL PROTECTED]> wrote:
> On Mon, May 5, 2008 at 10:54 AM, Chip Barnaby <[EMAIL PROTECTED]> wrote:
> > Yes, someone else pointed out my typo, sorry.
> >
> > My issue here is that referring to columns by index i
On Mon, May 5, 2008 at 10:54 AM, Chip Barnaby <[EMAIL PROTECTED]> wrote:
> Yes, someone else pointed out my typo, sorry.
>
> My issue here is that referring to columns by index is risky. Hard-coded
> indices will be buried in code and there will be trouble if (when) the data
> organization change
> Question for the list members: Is anybody aware of any existing
> ontologies computational focusing on this topic?
Have you look at zelig (http://gking.harvard.edu/zelig/) ? It unifies
a lot of statistical models within a framework that describes variable
types for input and output.
You mig
>
> I believe this function matches the description in OOO:
>
> mround <- function(number, multiple) multiple * round(number/multiple)
I've implemented a slightly more general form in the reshape package:
round_any <- function (x, accuracy, f = round) {
f(x/accuracy) * accuracy
}
Hadley
-
On Tue, May 6, 2008 at 11:44 PM, ronggui <[EMAIL PROTECTED]> wrote:
> >library(ggplot2)
> >(p<- qplot(mpg, wt, data=mtcars))
> What I am doing is to set color of the ticks to hide them.
> >grid.gedit(gPath("xaxis", "ticks"), gp=gpar(col="white"))
>
> It should be a better way to achieve the pur
> PS Perhaps it'd still be really useful to be able to change text direction
> in labels.
> Hadley, what do you think?
Agreed. I've added it to my ggplot2 customisation to do list.
Thanks,
Hadley
--
http://had.co.nz/
__
R-help@r-project.org mai
On Fri, May 9, 2008 at 7:17 PM, knussear <[EMAIL PROTECTED]> wrote:
>
> Hi Group
>
> I have a large data set of individual pairwise values (250,000 rows) that I
> need to reshape into a pairwise matrix for mantel tests of these values
> versus genetic distances.
>
> the data are currently in column
> More generally, how do I control the size of fonts used in legends
> and axis labels?
There is no general way (yet) - it is on my customisation to do list,
which I hope to make progress on over summer.
Hadley
--
http://had.co.nz/
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R-help@r-projec
> There is a bug in ggsave() for bitmap devices: it computes the width and
> height from 'dpi', but it fails to pass that information on to the devices,
> which assume 72dpi. So what it actually asked for was a
> 8 x 6.67 inch plot at 72dpi. 72dpi would be a better default, as not all
> of the
On Mon, May 12, 2008 at 3:31 PM, B. Bogart <[EMAIL PROTECTED]> wrote:
> Hello all,
>
> I've been using the following qplot command:
>
> qplot(pixX,pixY, data=som, geom="tile", fill=rgb) +
> scale_fill_identity() + opts(aspect.ratio = .75) + facet_grid(unitX ~ unitY)
>
> Now I would like to conv
On Sat, May 17, 2008 at 10:03 PM, Michael Kubovy <[EMAIL PROTECTED]> wrote:
> Dear R-helpers,
>
> x <- rep(1:2, 4)
> y <- c(2, 4, 3, 5, 1, 3, 2, 4)
> w <- factor(rep(1:2, each = 4))
> v <- rep(1:2, each = 2, 2)
> xyplot(y ~ x | w, groups = v, type = 'b')
>
> How do I tell xyplot to use four colors
> if developers from the R graphics group are reading this, given that
> this strange output is not just my imagination, maybe it would be
> worthwhile to see if the R output pdf could be made more robust to
> avoid this "feature." I stumbled onto it deep in a program, and spend
> an afternoon dis
Hi Alan,
> I have a general question about reshaping a wide data frame using the
> "reshape" command. I have a data frame consisting of 108 columns that
> I would like to convert to a long table and remove the metadata
> (embedded in the column names of the wide table) to new metadata
> columns in
> Is is possible to plot points whose y coordinate correspond to that
> probability, instead of plotting the histogram bars? In other words,
> instead of having a bar of width 0.01 and height, say, 80, I'd like to
> have a single point at y = 0.8.
Very easily with ggplot2:
install.packages("ggplo
> I've also come across "banking ()", but I don't understand it, nor the
> significance of the value it returns. Regardless, it doesn't seem to be the
> aspect ratio that I am looking for.
You might also want to have a look at:
@article{heer:2006,
Title = {Multi-scale banking to 45 de
> Now that this part is working there are two more aspects of the plot I
> would like to remove: (in order of importance)
>
> * The row/column facetting labels.
You should be able to find that using grid.ls()
> * the whitespace that surrounds the plot. I'd like the ggsave output to
> resemble the
Hi Felipe,
That's should be the default. How is it different to what you expect?
Hadley
On 11/16/07, Felipe Carrillo <[EMAIL PROTECTED]> wrote:
> Hi all:
> I wonder if ggplot2 can create histograms with
> frequency along the Y axis
>
> Felipe D. Carrillo
> Fishery Biologist
> US Fish & Wil
Hi Michael,
To use stat_smooth as is, you need a smoothing function that basically
works like lm. So you have two options: to make an interface to
HoltWinters (or find another exponential smooth that already has that
interface) or write your own stat object, which might look something
like this:
On 11/21/07, Punit Anand <[EMAIL PROTECTED]> wrote:
> Hello everyone,
>
> Since the fields in variables column are unique with respect to ID and
> fiscal year; any function like
> sum,min,max,mean etc will lead to the desired result
You should probably check that, as the warning only occurs when
a
That should still work? If it doesn't, you should be able to figure
out what the new element name is by following the recipe in the last
chapter of the ggplot book.
Hadley
On 11/21/07, Felipe Carrillo <[EMAIL PROTECTED]> wrote:
> Hi:
> Does anyone(Hadley?)know how to change the axis labels
> with
Hi Juan,
Assuming that your data frame is named df, something like the
following should work:
library(ggplot)
qplot(X, Y, data = df, colour = Z, label = Z, geom = "text") +
scale_colour_continuous(low="orange", high = "blue")
You can find out more about ggplot2 at http://had.co.nz/ggplot2.
Had
> Above all there are lots of packages. As the software editor of the
> Journal of Statistical Software I suggested we should review R
> packages. No one has shown any enthusiasm for this suggestion, but I
> think it would help. Any volunteers?
There are two common types of review. When review
> However, I don't know what exactly glht does, and the help file is
> extremely terse. It offers the following options (in contrMat()):
>
> contrMat(n, type=c("Dunnett", "Tukey", "Sequen", "AVE",
> "Changepoint", "Williams", "Marcus",
> "McDermo
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