search for: ggline

Hi I am using ggplot with the aesthetic=list(..., colour=x, ...) ggplot() ggline() I have four different values in x ("ren", "cyn", "mixed", "bare") and I have two questions 1) I would like to assign specific colours to the values, i.e. green, red, blue and brown. How can I do this? I did not understand map_colour_brewer. 2) I don...

...ing for a couple of hours and not found it. What happened to ggplot? It appears to be missing on CRAN, except in the archives. http://cran.r-project.org/web/packages/ggplot/index.html Has ggplot2 replaced ggplot? I was trying to run some examples and found that "pscontinuous" and "ggline" are not part of ggplot2. Thanks, Gene [[alternative HTML version deleted]]

...t; Modifique el código tal que así: > > ggbar<-ggplot(ft, aes(x=ft$hora, y=ft$frec)) + > geom_bar(stat="identity", width = 0.8, fill="gray") + > theme(panel.background = element_rect(fill = "white")) + > scale_y_continuous(limits=c(0,1500)) > ggline<-ggplot(ft, aes(x=ft$hora, y=ft$Miles)) + > geom_line()+ > theme(panel.background = element_rect(fill = "white")) + > scale_y_continuous(limits=c(0,1500)) > > library(gridExtra) > grid.arrange(ggbar, ggline, nrow=2, ncol=1) > > No entendí muy bien por qué...

Y bueno, algo más bonito sí que queda con ggplot... #--------------- datIn <- read.csv("pec.csv", header = TRUE, sep = ";", dec = ",") library(ggplot2) lab_x_idx <- c(1, round(nrow(datIn)/2, 0), nrow(datIn)) lab_x <- as.vector(datIn$hora[ lab_x_idx]) fre_gg <- ggplot( datIn, aes( x = 1:nrow(datIn), y = frec)) + geom_bar(stat =

I have some data which consists of time series for a number of sites. It appears that there is not much autocorrelation in the data and I have fitted a cubic for each site using lm. I would like to obtain a lattice plot with one panel for each site and showing the original data, and the fitted cubic. The closest I have got to doing what I want is: fit <- fitted(paraslm1) temp <-

...al que así: >> >> ggbar<-ggplot(ft, aes(x=ft$hora, y=ft$frec)) + >> geom_bar(stat="identity", width = 0.8, fill="gray") + >> theme(panel.background = element_rect(fill = "white")) + >> scale_y_continuous(limits=c(0,1500)) >> ggline<-ggplot(ft, aes(x=ft$hora, y=ft$Miles)) + >> geom_line()+ >> theme(panel.background = element_rect(fill = "white")) + >> scale_y_continuous(limits=c(0,1500)) >> >> library(gridExtra) >> grid.arrange(ggbar, ggline, nrow=2, ncol=1) >> >&...

Hi WizaRds, I'd like to overplot UK fuel consumption per quarter over the course of five years. Sounds simple enough? Unless I'm missing something, the following seems very involved for what I'm trying to do. Any suggestions on simplifications? The way I did it is awkward mainly because of the first call to plot ... but isn't this necessary, especially to set limits for the