similar to: Cairo on windows

I am puzzled at the use of regression. I have a categorical variable ClassePop33000 which factors a Population variable into 3 levels. I want to investigate whether that categorical variable has some relation with my dependent variable, so I go : lm(Cout.ton ~ ClassePop33000, data=ech2) Call: lm(formula = Cout.ton ~ ClassePop33000, data = ech2) Residuals: Min 1Q Median 3Q

Hi All, I'm looking for ways to compute aggregate statistics (with the aggregate function) but with an option for sorting and selecting a subset of the data frame. For example, I have would like to turn this : aggregate(myDataframe$TargetValue,list(SomeFactor = myDataframe$SomeFactor),mean) into something like aggregate(myDataframe$TargetValue,list(SomeFactor =

Hi, It seems that anti-aliasing in png(type = 'cairo') is not well supported for the point symbols without boarders, e.g. pch = 16. The Cairo package works well, though. You can compare png() with CairoPNG(): png(): http://i.imgur.com/8niB3jX.png CairoPNG(): http://i.imgur.com/FZBJOxm.png f = function(dev, ..., main = '') { dev(...) plot(c(1, 2, 1, 2), c(1, 1, 2, 2),

Dear all, I am trying to use the Cairo package to avoid some X11 issues and it works very well. However, when I want to add a legend to my plots, I receive an error message from Cairo: > library(Cairo) > CairoPNG(file="test.png") > plot(1:100) > dev.off() null device 1 This works fine. But: > CairoPNG(file="test.png") > plot(1:100) >

Hi all, I'm looking for some documentation about icecast clustering. Is this feature exists ? Under this research, i would like to build a cluster to put a lot of streaming channels under a virtual network ip. Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi All, I have been experiencing a strange issue ever since I upgraded my R and the packages. I cannot plot anything to the CairoPNG device.For an example:> Cairo(600, 600, file="plot.png", type="png", bg="white")> plot(1:10)> dev.off()will create an empty plot.png file. I am running R 2.12.1 (32bit) on Windows 7 (64bit). ----------------------------->

Hello, I am generating .png images using the Cairo package in a for loop (looping on the number of zones, number of zones equals the number of plots to create based on different zone data). When I run the R script the .png files are created but they are all black? If I comment out the for loop and force my zones to equal one the png file is created correctly? Is there an issue with

Hi All, I'm struggling to add text automatically to plots. I have a series of scatterplots that I have stored in a script because the underlying data changes often and the plots need to be regenerated. I use the scatterplot function (defined in Rcmd, I believe). When one of the variables is a factor, a boxplot is drawn over the scatter of the other variable. In the case where x is a

I'm interested in creating a graphic -like- this: c <- ggplot(mtcars, aes(qsec, wt)) c + geom_point() + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) but I need to show 2 sets of bands (with different shading) using 5%, 25%, 75%, 95% limits that I specify and where the heavy blue line is the median. I don't understand how to do this with

Hi all, I am using ggplot2 and continuing to find it very useful and pretty. However, I am trying to create some graphics for publication that would be included in an MS Word document (not my choice!) in Windows Vista. The problem is that I want to use stat_smooth() to add an fitted linear model line along with its 95% confidence band, but I cannot seem to get the confidence band in a format

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ x, alpha = 0.2, size=2) But how can I

In the example below, from http://www.ling.upenn.edu/~joseff/rstudy/summer2010_ggplot2_intro.html I'd like to make (a) the fitted line thicker and (b) change the background fill color for the confidence envelope around each fitted line to a low-alpha transparent version of the same color used for the separate fitted lines for GENDER, rather than grey for both. How can I do this?

Hello everyone, I was wondering if anyone was aware of a way in which I could use ggplot's stat_smooth() function for add an exponential moving average. I was thinking that I could maybe use something like: >myggplot + stat_smooth (method = 'HoltWinters( data , .9 , 0, 0)') but my efforts were futile. Perhaps there is a way to write my own custom method to throw into

Hi All, I can't get text to print on a boxplot using the 'text' command. 'mtext' works, but not 'text'. Is it a matter of boxplots being drawn over text? Pointers appreciated. TIA, YVes -- View this message in context: http://www.nabble.com/text-in-boxplots-tf4394528.html#a12530892 Sent from the R help mailing list archive at Nabble.com.

Hi all, Does one of you know if there is any way to combine a "nls" method in the stat_smooth of ggplot? Regards -- ------------- Benoit Boulinguiez Ph.D student Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences Chimiques de Rennes" Avenue du G?n?ral Leclerc CS 50837 35708 Rennes CEDEX 7 Tel 33 (0)2 23 23 80 83 Fax 33 (0)2 23 23 81 20

Hello, I wanna know how to export a data frame to Excel. For example I wanna export this data frame > M[1:5,] var1 var2 distance 1 41 42 0.2 2 41 43 0.304347826086957 3 41 46 0.19047619047619 4 41 47 0.155555555555556 5 41 48 0.209302325581395 I don't know how to use write.table or write.csv to do this. Can you help me please? Thanks.

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

is it possible to map 2 plots(c and d) in a single output plot? library(ggplot2) c <- ggplot(mtcars, aes(qsec, wt)) d <- ggplot (mtcars, aes(qsec, wt)) c + stat_smooth(fill="darkgrey", colour="blue", size=2, alpha = 0.2) d + stat_smooth(fill="darkgrey", colour="red", size=2, alpha = 0.2) -- View this message in context:

Hello, I drew a simple area plot using ggplot2 using set <- read.table(file="http://www.jovian.nl/set.csv", head=1, sep=",") library(ggplot2) ggplot() + layer( data = set, mapping = aes(x = time, y = hours), geom = "area", stat="smooth", color="red" ) + layer( data = set, mapping = aes(x = time, y = hours), geom = "area",

The problem was first seen with R/Sweave (#c0) then reproduced directly with cairo (#c10) and was eventually traced to freetype. The 5-part bug fix: 610ee58e07090ead529849b2a454bb6c503b4995 da11e5e7647b668dee46fd0418ea5ecbc33ae3b2 e1a2ac1900f2f16ec48fb4840a6b7965a8373c2b 869fb8c49ddf292d6daf4826172a308973d3e11f d56e544d653b09c657911629557ffc5277a503e3 was committed to freetype in January and will