similar to: Strange tick in ggplot geom_area; and ordering, again

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",

Hi all, I am trying to run some plots on data, but when loading he CSV data file R is stopping and I am getting an out of memory error. Anyway to tweak this somehow to get it to run? Using WinXP with 4 GB RAM Tnx Bruce

Dear list, I would like to apply my own colours to a stacked area plot, done with qplot, but I have not succeeded... What do I have so far (I am dealing with the development of cover of specific groups of plants): library(ggplot2) library(RODBC) channel <- odbcConnect("myusername", case="tolower") sql <- "select trial, cover_of, dateofsurvey, cover from

Hi, Here is yet another bug/miscompilation I've found while testing my register allocator. The compilation of the attached BC file fails on multiple backends, namely: ia64, mips, mipsel, alpha The failures are different from backend to backend (wrong register classes, wrong operand types, etc). Please, just try to compile using the attached BC file. I guess, it is related to the FP

After trying numerous options, I'm just about at my wits end. The most frequent suggestion was to export to a postscript or PDF file and import that into Word. However, no matter what I did or how I did it, the results were extraordinarily ugly and somewhat time-consuming. What I've tried so far: 1. Copy and paste from the R graphics output window into Word (in Mac OS X), this is

I am using ggplot and posted this question at that helplist. It was suggested that I try a more general R-help list for a possible solution to this problem. Within ggplot, I am using geom_area with red and blue and expect where they overlap should be purple. But instead, it's dark red. Playing with alpha and with different colors doesn't seem to solve the problem. Here's a very

Hello, Is "Dos installer from Win98" REMOVED from Syslinux-5.00/syslinux-5.01-pre1? Prof S W Damle

Hello, I asked a similar question before but in an existing thread. I am not sure if it is proper etiquette to repost a similar question as a new tread, I think in this case, it might be because this way more people can see it and perhaps learn from it. (Also, part of the existing thread became private) I want to know how to plot multiple ggplot area plots on top of one another so that the same

Hi all, I have been hunting around for hours trying to figure out how to generate a stacked line chart using ggplot2. This type of chart can be generated in excel 2007 by selecting: Chart type > Line > Stacked line. I can generate a stacked area chart using the following code: p <- ggplot2(~, aes(x = ~, y = ~, colour = Type)) + geom_area(aes(position = 'stack', fill = Type))

I'm looking for ideas for creating high-quality plots for use in projected presentations (powerpoint, etc) --- ideally high-quality png, jpg, bmp. The graphics produced using the postscript device look very good. Those generated with win.graph(), png are plagued by the jaggy lines. So far, the only way I can use the postscript plots in my presentations is using separate screen capture

Hi, I would like to add a color under a lm line and not the plotted line. Is this possible? In the example, I do not want the area under the curve red, but rather under the llm line. x=seq(0,5,len=100) y=-(x-5)^2 llm<-lm(y~x) plot(x,y) polygon(c(x,x[length(x)]), c(y, y[1]), col='red') abline(llm) keith -- M. Keith Cox, Ph.D. Alaska NOAA Fisheries, National Marine Fisheries Service

Hi, I am trying to do the following computation: p <- rep(0, n) coef <- runif(K+1) U <- matrix(runif(n*(2*K+1)), n, 2*K+1) for (i in 0:K){ for (j in 0:K){ p <- p + coef[i+1]* coef[j+1] * U[,i+j+1] } } I would appreciate any suggestions on how to perform this computation efficiently without the "for" loops? Thank

I ran dovecot -a and the blizzard of data seemed ok to my limited knowledge. Is there another log I should look into to trace this error down? Dovecot and system info: thufir at dur:~$ thufir at dur:~$ dovecot --version 2.0.19 thufir at dur:~$ thufir at dur:~$ cat /etc/lsb-release DISTRIB_ID=Ubuntu DISTRIB_RELEASE=12.04 DISTRIB_CODENAME=precise DISTRIB_DESCRIPTION="Ubuntu 12.04.1

Dear R-mates, # Here's what I am trying to do. I have a dataset like this: id = c(rep(1,8), rep(2,8)) dur1 <- c( 17,18,19,18,24,19,24,24 ) est1 <- c( rep(1,5), rep(2,3) ) dur2 <- c(1,1,3,4,8,12,13,14) est2 <- rep(1,8) mydata = data.frame(id, estat=c(est1, est2), durat=c(dur1, dur2)) # I want to one have this: id = c(rep(1,8), rep(2,8))

Hi, I have a data frame and want to merge adjacent rows if some condition is met. There's an obvious solution using a loop but it is prohibitively slow because my data frame is large. Is there an efficient canonical solution for that? > head(d) rt dur tid mood roi x 55 5523 200 4 subj 9 5 56 5523 52 4 subj 7 31 57 5523 209 4 subj 4 9 58 5523 188 4 subj 4 7

Hello, Can someone give me hint to change a data.frame. I want to split a column in more columns depending on the value of a other column. Thanks for the reaction, Andre Example: > dat x1 x2 1 1 a 2 1 b 3 1 c 4 2 d 5 2 e 6 2 f 7 3 g 8 3 h 9 3 i in > dur d1 d2 d3 1 a d g 2 b e h 3 c f i [[alternative HTML version deleted]]

I have a question about some strange results I get when using lmer to build a logistic mixed effects model. I have a data set of about 30k points, and I'm trying to do backwards selection to reduce the number of fixed effects in my model. I've got 3 crossed random effects and about 20 or so fixed effects. At a certain point, I get a model (m17) where the fixed effects are like this

Greetings: I'm (very) new to R. One of the features of R that I really like is R's ability to quickly generate very good looking graphics. However, I've noticed that when I attempt to copy and paste the graphs from the R graphics output window into Word (in Mac OS X), the resulting picture is very jaggy. I'm aware of the various options such as dev2bitmap, but I'd

To use dovecot-postfix stack with thunderbird, do I put the configuration into /usr/share/dovecot/protocols.d/impad.protocol? That would seem to be how the stack is configured. "Thunderbird To use with Thunderbird, edit the file /etc/dovecot/dovecot.conf: protocol imap { ... login_greeting_capability = yes imap_client_workarounds = tb-extra-mailbox-sep }"

Hey fellas: In the context of the gambler's ruin problem, the following R code obtains the mean duration of the game, in turns: # total.capital is a constant, an arbitrary positive integer # initial.capital is a constant, an arbitrary positive integer between, and not including # 0 and total.capital # p is the probability of winning 1$ on each turn # 1-p is the probability of loosing 1$ # N