similar to: compute current values in a facet

Hi, I really feel I've looked everywhere, although I know this can't be a hard problem. I'd like to be able to call the graph below as a function, but I can't get the function to recognize variables beyond 'dframe'. I've read through many papers on writing functions in R, but I can't get this to work. data <- data.frame('date' = as.Date(rep(c(15101,

Hi David, >>Ah, so this is a commercially backed project? Initially it wasn’t. I started to do this in my own free time and after I got something which I could demonstrate I can be much better than what we currently have with GCC it became part of my day to day job. >>But relatively small? (are you the only engineer working on this?) Yes I’m the only one working on this.

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hello everyone. I am using ggplot and I need some help to merge these two plots into one. plot_CR<-function(x,y,agentid,CRagent){   library(ggplot2)     agent<-CRagent[[agentid]] # To make following expression shorter   ggplot((data.frame(x=CRX,y=CRY,sr=agent$sr)))+   geom_point(aes(x,y,colour=cut(sr,c(0,-10,-20,-30,-40,-50,-60,-70,-80))))+   geom_text(aes(x,y,color=cut(sr,

Hi List, I am running R 2.8.0 on a Windows XP machine, running ggplot2 version 0.8.1 I want to label the bars in a faceted grid barplot. Reproducible R code is given below: #### reproducible facet barplot ##### library(ggplot2) # Dataset from which to create the barplot ml <- rep(1:10,2) vals <- rnorm(20,mean = 10, sd=1) type <- c(rep("MAPE",10),rep("AIC",10))

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 (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

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 (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Hello everyone, I am using ggplot to plot but I am getting the following error which I do not understand Error: geom_text requires the following missing aesthetics: label My code is dimx<-256 library(ggplot2) dev.new() xandy<-expand.grid(seq(1:dimx),seq(1:dimy)) xx<-data.frame(xandy[[1]],xandy[[2]],Powermap=Powermap) subsetxx<-subset(xx, xx$Powermap>threshold)

Hi David, Thank for very much for your reply! I got a reply on the clang mailing list in April from Dmitri: http://lists.llvm.org/pipermail/cfe-dev/2020-April/065115.html and following his advice “attaching pragmas as attributes to functions” I managed to do it, it was actually quite easy. >>Compatibility with an existing compiler is usually compelling - are the compilers you're

Hi I am running the following code: sym <- c(sym1,sym2,sym4) lifedxm <- c("O-BD","O-WELL","O-UNI") life <- c(lifedxm,lifedxm,lifedxm) tp <- c("TP-ANY","TP-ANY", "TP-ANY", "TP-SUB", "TP-SUB", "TP-SUB", "TP-CLIN" , "TP-CLIN", "TP-CLIN") data <-

Dear list, I?m having a little trouble with adding vertical lines to a histogram. I need to draw a matrix of histograms (using facets), and in each histogram add a vertical line indicating the mean value of the data in each facet. According to the last example in the geom_hline help, to display different lines in each facet I need to provide a data frame. I modified this example to make a plot

Hello, I have the following data.frame structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

Hola, Mira la versión de ggplot2 que estás usando por tenerla actualizada a la última... A mi me funciona introduciendo algún cambio salvo la última línea cuando cambias el tema... #----------- Lines <- " id Rangos Clase Asistentes 1 45d EPI 405 2 1a EPI 812 3 2a EPI 1639 4 3a EPI 2202 5 4a EPI 1994 6 5a EPI

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

Hi, I'm playing with moving some of my lattice graphics into ggplot2, and I'd like to ask how to achieve a couple of things, both of which are fully illustrated in self-contained code (and mostly minimal, although that left quite a bit) following this written description. 1. I quite often like to use a 'ghosted' reference across facets - for example, in my example program below,

Hola a tod en s, Este es el código principal que utilizo para diseñar mi zona de estudio (cuenca): png("mapa_zona_estudio.png", units="in", width=9, height=8.5, res=300) # Vamos a pintar los distintos instrumentos de medida sobre el mapa (junto con éste) y añadimos leyenda ggmap(mapa, extend='device', legend="left", base_layer=ggplot(datos, aes(x=lon,

Hi everyone, i've been trying to make a special plot with ggplot2, but I can't get it to fill the polygon I'd like to see filled so very very much. I want to display the difference or change in the distribution of the modified Rankin Scale between two groups. mRS is a scale for disability or daily activities competence. It looks like this.

# 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 (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Find out more at

# 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 (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Find out more at

Faceting in ggplot2 seems to permit different scales for different facets, but I fail to see how one could control ylim and xlim ranges for each facet separately. For instance, I would like to set the ylim = c(0,10) for facet "A" and ylim = c(42,102) for facet "B". Since the data is out of these ranges, setting facet_grid(factor ~ ., scales = "free_y") does not