similar to: changing "label" in ggplot

Hi there, I am having a little problem with combining three scale_manual commands in a facet plot. I am not able to combine the three different characteristics, instead ending up with three different descriptions next to the graph for the same geom. I would like to see two separate labels (not three); one describing lines 1-7 and the other 8-14. For each of the treatments (A-B) I want a

Hi, all. I'd like to add legend on my graph but I can't. My code is follows. library(ggplot2) score1<-rnorm(100,0,5) score2<-rnorm(400,10,15) mydata<-data.frame(score1,score2) ggplot(mydata,aes(y=score2,x=score1))+geom_point()+stat_quantile(quantiles=c(0.50),col="red")+stat_quantile(quantiles=c(0.90),col="blue",size=2) I like to add legend indicating the

I created this graph in ggplot and added ablines to the different facets by specifying with subset commands. As you might see, there are still a few issues. 1.) I would like to have the diamonds in a grey scale instead of colors. I accomplished this (see graph 2) until I overwrote the label title for the treatments and the colors came back (graph 1). I used these two commands: p=ggplot(data =

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

Hi all, I was trying to draw a stacked density plot like that : library(ggplot2); library(plyr) dat <- cbind(rnorm(300), rep(c(1,2), each=150)) ggplot() + geom_density(aes(x=dat[,1], fill=factor(dat[,2]), position="stack")) + xlab("") + ylab("") + scale_colour_manual(name = "Pallet", labels = c("X", "Y")) Here

Thank you that is exactly it! The problem was to connect each point of the series 'Conc' with a line. Best regards Luigi On Sat, Jul 1, 2023 at 8:33?PM Chris Evans <chrishold at psyctc.org> wrote: > > > On 01/07/2023 19:20, Luigi Marongiu wrote: > > Hello, > > I have a dataframe with measurements stratified by the concentration > > of a certain substance.

Hi John, You can try the following: override.linetype=c("twodash","solid") p <- ggplot(obs, aes(x = Timestamp)) p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype ="Temperature")) p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity", linetype="Humidity")) p <- p +

I'm trying to plot multiple lines using different colours/symbols to distinguish them. If I try to plot more than 6 lines, I get an error: > ggplot( dat, aes(x=time,y=value,group=variable,shape=variable) ) + geom_line() Error: scale_shape can deal with a maximum of 6 discrete values, but you have 9. See ?scale_manual for a possible alternative I find this slightly confusing, as

Well, here is one way but it seems a bit clumsy. In words, I created a new data.frame with "250" in the Chloride vector and "SMCL" in the Detections vector and supplessed one legend. Warning: For my convenience I am using different data.frame names . library(ggplot2) MyData <-read.csv("http://doylesdartden.com/Stats/TimeSeriesExample.csv", sep=",")

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

Hi R-helpers! Here is my problem: I have a graph with 3 different facets where there are 3 different regression line. My goal is to mention separately in each facet each equation that describes my lines. So far, I managed to add a line and the same equation to all my facets but that's not unfortunately what I want. Is there a way to do that? Any suggestion would be gladly welcome! Thanks

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, 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,

Someone was asking how to do a 16 category piechart in OpenOffice Calc and it appears that it can not be done (which we, probably, should be happy about) but I thought that I'd try it in ggplot2. It works but I then thought I'd like to make the colours more distinctive but fro some reason I don't seem to be able to use manually assigned colours. Can anyone suggest where I'm

How do I reverse the order of the legend in a bar plot to match order of the x-axis? In other words, I want the stacked colors of the legend to match the stacked colors of the bar plot. I tried this, but it didn't work. colors <- c("5" = "red","4" = "blue","3" = "darkgreen") p <- qplot(factor(cyl), data=mtcars,

I am using Sweave to generate a document in which ggplot2 figures are embedded. I am using the following code in a particular plot within a subfloat environment: <<qplotARbosreg, echo = FALSE, fig = TRUE>>= print(qplot(bosday2, Arday2, data= arbostimearonlyNArm, colour=factor(bos2), shape=factor(bos2), size=factor(cumARscore), position="jitter", main="Days to BOS by

Hello All, I am trying to create a legend for a black-white graph. The package I use is ggplot2. It can add colors to the legend key but not line types. Can you please help? # example from Wickman (2009, ggplot2 - elegant graphics for data analysis, page 109) library(ggplot2) huron <- data.frame(year=1875:1972, level=LakeHuron) ggplot(huron, aes(year)) +

1. Is it possible to set the point colors in a ggplot2 theme? For example, to default to these colors: scale_colour_manual(value = c("red", "orange", "yellow", "green", "blue") 2. Is it possible to set this theme in .Rprofile, similar to: my.lattice.colors = function () { .......etc.....} options(lattice.theme=".mw.lattice.colors") --

Hello, I am drawing some data with ggplot2 and would like to reverse the order of the y axis and set a custom range for it. I can do the former but when I add the key `limits` to `scale_y_reverse` I get an error as shows below and, worse, no data shown in the plot. How can I properly set a reverse y scale with a defined range in ggplot2? Thank you ``` A <- rep(c(0, 3, 6, 12, 24), 3) B <-