similar to: Legend issue with ggplot2

Hi everyone, Hadley, it seems there's a bug in geom_ribbon() when using it in a log-scaled plot: d<-data.frame(x=c(1:20),y1=rnorm(20)+3,y2=rnorm(20)+5) p<-ggplot() p<-p+geom_ribbon(data=d,aes(x=d[["x"]],min=d[["y1"]],max=d[["y2"]])) p<-p+geom_line(data=d,aes(x=d[["x"]],y=d[["y1"]]),colour="blue")

Dear useRs, Recently I've discorved ggplot2 and I must say that I really like it, although the documentation still is a working in progress. My first question: How can I change the position of the labels and the text of the labels? With a basic plot I would use axis(2, at = position.of.the.ticks, labels = text.at.the.ticks). Could someone provide me with an example of how to do this with

Hi, I would like to plot a bunch of tree ring width data (time series) using ggplots, but I'm having trouble figuring out how to do it. My data is in a data.frame, with years as rownames and a distinct tree ring series in each column. So, something like this: rwl<-matrix(rnorm(800), nrow = 100) colnames(rwl) <- paste('V', 1:8, sep = '')

Hi everyone, it looks like geom_ribbon removes missing values and plots a single ribbon over the whole interval of x values. However, I'd rather want it to act like geom_line, that is, interrupt the ribbon for the interval of missing values and continue once there are new values. Here's an example: library(ggplot2) df <- data.frame( date = seq(from = as.Date("2010-05-15"),

Folks, I want to automate some graphing using ggplot. Here is my code graphChargeOffs2<-function(coffs) { ggplot(coffs, aes(levels)) dataNames<-names(coffs)[!names(coffs) == "levels"] for(i in dataNames) { thisData<-coffs[[i]] last_plot() + geom_line(aes(y = thisData, colour = i)) } last_plot() + ylab("Total Chargeoffs") } coffs is a data.frame.

?s 05:17 de 12/08/2023, Thomas Subia via R-help escreveu: > Colleagues, > > Here is my reproducible code for a graph using geom_smooth > set.seed(55) > scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) > ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) > > library(ggplot2) > library(cowplot) > > ggplot(scatter_data,aes(x=x_var,y=y_var))+

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est

Consider the following situation: we have quantified algal concentrations for a variety of species using many samples at each of three years. It seems to make sense to generate a line plot (matplot-like), with each species plotted as a separate line, with the points connected to emphasize the temporal pattern. The problem: lots of overlapping error bars. The question: from both a

Colleagues, Here is my reproducible code for a graph using geom_smooth set.seed(55) scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) library(ggplot2) library(cowplot) ggplot(scatter_data,aes(x=x_var,y=y_var))+ ? geom_point()+ ? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+

Dear useRs, I'm trying to specify the colour of a factor with ggplot2. The example below gets me close to what I want, but it's missing a legend. Any ideas? Thanks, Thierry library(ggplot2) dataset <- data.frame(x = rnorm(40), y = runif(40), z = gl(4, 10, labels = LETTERS[1:4])) ggplot(data = dataset, aes(x = x, y = y, group = z)) + geom_point(colour = c("red",

Given the data structure below and the call to ggplot2, how can I increase the size of the axis scale points, the line weight, and the size of the legend? ddata <-structure(list(year = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2003", "2007"), class = "factor"), area = structure(c(7L, 6L, 1L, 2L, 3L, 4L, 5L, 7L, 6L, 1L,

Dear list, I am facing an unusual situation where I need to create two sets of legends based on the color mapping. Can't get exactly what I want and really appreciate any advice from ggplot experts. Let's say I have the first dataset "df1" that draws some points and based on which a "loess" line with confidence interval is added. Then the second dataset

Hi Put fill outside aes p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2]), fill = "blue", alpha=0.1) The "hole" is because you have two levels of data (red and blue). To get rid of this you should put new data in ribbon call. Something like newdat <- trainset newdat$z <- factor(0) p+geom_ribbon(data=newdat, aes(ymin =

Dear useRs, I'm trying to use ggplot2 in Sweave (R 2.5.1). The plots use the alpha channel, so I need to use pdf version 1.4. Search the mailinglist archive I found two solutions: \SweaveOpts{echo = FALSE, pdf.version=1.4} and explicit writing to a pdf 1.4 file. The latter works but the first doesn't. Probably I'm doing something wrong (see the Rnw file below). The file tmp_tmp.pdf is

Dear useRs, Lately I noticed a strange warning in the summary of a lm-object. Any idea what this warning is about? I'm using R 2.5.1 on Win XP pro. > x <- rnorm(100) > y <- rnorm(100) > summary(lm(y~x)) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -1,77809 -0,68438 -0,04409 0,63891 2,30863 Coefficients: Estimate Std.

Thank you, but this split the area into two and distorts the shape of the plot. (compared to ``` p + geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], linetype = "dashed", col = "royalblue") + geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2], linetype = "dashed", col = "royalblue") ``` Why there

Hi What about something like p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2], fill = "grey70", alpha=0.1)) Cheers Petr > -----Original Message----- > From: Luigi Marongiu <marongiu.luigi at gmail.com> > Sent: Friday, October 23, 2020 11:11 AM > To: PIKAL Petr <petr.pikal at precheza.cz> > Cc: r-help

also from this site: https://plotly.com/ggplot2/geom_ribbon/ I get the answer is geom_ribbon but I am still missing something ``` #! plot p = ggplot(data = trainset, aes(x=x, y=y, color=z)) + geom_point() + scale_color_manual(values = c("red", "blue")) # show support vectors df_sv = trainset[svm_model$index, ] p = p + geom_point(data = df_sv, aes(x=x, y=y),

If you tell me how to update R itself automatically, I will go for your advice. I am not aware of any method to do it... Bye Rick "ONKELINX, Thierry"

Hi Hadley and everyone, here's a patch for ggplot2 that fixes the behavior of opts(legend.position={left,top,bottom}). If you try the following code in an unmodified ggplot2 options(warn = -1) suppressPackageStartupMessages(library("ggplot2")) data <- data.frame( x = c(1, 2, 3, 4, 5, 6), y = c(2, 3, 4, 3, 4, 5), colour = c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE))