similar to: ggplot2 dot chart-start at zero

Just as an exercise I am tying to add colours to a geom_segment command. I can get one colour but not a sequence of colours. Can anyone suggest how I can get the green lines in the plot below to be different colours? I thought I could use a palatte of colours but that did not seem to work. Thanks ========================================================================= library(ggplot2) xx

Dear R users, I am working on a data-set with 3 species. They are apple, orange and banana. I want to annotate the facets only on the bottom panel. However, by default I am getting annotations on all the plots. I was able to get text annotation only on the desired plot. However, I am confused what I need to do for the arrows / segments. Here is my code: library(ggplot2) library(grid) tempobs

Dear R-users, I am trying to make a plot with ggplot-geom_tile(), but cannot remove some unwanted (white) lines through my plot. Below a reproducible example: ##### library(ggplot2) tot=as.data.frame(rep(seq(-50,50,5),each=21)) names(tot)="precip" temp=rep(seq(-5,5,0.5),21) tot$temp=temp disc=array(dim=c(21,21)) for(i in 1:21){ for(y in 1:21){ temp<-

Hi all, I'd want to plot a segment from a line specified by slope and intercept. I want to plot this line between two limits, x1 and x2, without imposing these limits to the hole plot as it is the case with scale_x_continuous(limits=c(x1,x2)) or with xlim and ylim. Any idea? Arnaud Chozo [[alternative HTML version deleted]]

Hi, I would like to use xyplot to create a figure. Unfortunately, I cannot find documentation in xyplot to specify alternating the x-axis tick labels with the x-axis tick marks. I can do this with the regular R plot function as follows. #A small version of my data looks like this data<-data.frame(matrix(ncol=3,nrow=12)) data[,1]<-rep(c(1,2,3),c(4,4,4)) data[,2]<-rep(c(1,2,3,4),3)

Hola eRRer en s, He creado un modelo mixto (adjunto) con lme4 He dibujado la predicción usando: df <- ggpredict(m.glob.pre.anu , terms = c("pre", "area_m2", "sum.vs.win") ) plot(df) Luego he arreglado el gráfico usando: df <- ggpredict(m.glob.pre.anu , terms = c("pre", "area_m2",

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

Hello, A few questions about the following examples: 1. Why do the two plotting versions not produce the same result? 2. Is the 'scale_x_continuous' (or *_y_* or *_*_discrete) geom the best way to setup grids (as in visual guide-lines) in polar (or for that matter, any) coordinate system? 3. Why do these commands appear to generate 3 plot pages each? 4. Perhaps more questions to follow

Hello all, I've been using the following qplot command: qplot(pixX,pixY, data=som, geom="tile", fill=rgb) + scale_fill_identity() + opts(aspect.ratio = .75) + facet_grid(unitX ~ unitY) Now I would like to convert it into the explicit ggplot grammar, so I can remove the extras: axes, labels, background, borders, facet labels, and extra white-space around the plot. (If anyone has

Hello, i use ggplot to plot some measures including CIs as horizontal errorbars. I get an error when the scale limits are narrower than the boundaries of the error bar and hence the CIs are not plotted. library(ggplot2) df <- data.frame(resp=c(1,2), k=c(1,2), se=c(1,2)) ggplot(df, aes(resp,y=k)) + geom_point() + geom_errorbarh(aes(xmax = resp + se, xmin = resp - se)) +

Hello: I have 5 years of weekly passage data and want to predict fish passage for the following year. I don't have a model to use to predict data for the sixth year. Can I somehow still predict based on these five years? I just want to see on the graph what the predicted year would look like and how those?new values are generated. Gracias? ? ?fall <- structure(list(week = c(48L, 49L, 50L,

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 , I would like to use ggplot2 to plot a matrix as an image. You can copy paste the following Data<-matrix(data=rnorm(900,80,20),nrow=30,ncol=30) lengthOut<-5 Lengths<- 15 library(reshape2) library(ggplot2) tdm <- melt(Data) ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value)),levels=seq(0,1,by=0.1)) +                   labs(x = "MHz", y =

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 =

Hello, I need plot map using ggplot() I use such code: library("ggplot2") library(cshapes) cshp.data <- cshp() map <- cshp.data[cshp.data$COWCODE==369,] map_mp<- list( geom_polygon(aes(long, lat, group = group), data = map, fill = "grey70", colour = "grey60", inherit.aes = FALSE, show_guide = FALSE), scale_x_continuous("",

Hi: I need some help. I am ploting a bar graph but I can't adjust my x axis scale I use this code: i <- qplot(ForkLength,Number,data=FL,geom="bar") i + geom_bar(colour="blue",fill="grey65") # too crowded FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + geom_bar(colour="green",fill="grey65") FL_dat +

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

Dear All, After having overcome the issue of legends (thanks, Thierry, once more), I am trying to use facetting, but here also I can not find how to do this. I do not want to use qplot, but rather the more flexible options. However, it seems I am doing still something pretty stupid, because I always get an error, even if it seems I am doing everything like the examples. My code is below.

Dear all, I am using ggplot with geom_tile to print as an image a matrix  I have. My matrix is a squared one of 512*512 cells.  The code that does that is written below > print(v + geom_tile(aes(fill=dB))+ opts(axis.text.x=theme_text(size=20),axis.text.y=theme_text(size=20), axis.title.x=theme_text(size=25) , axis.title.y=theme_text(size=25), legend.title=theme_text(size=25,hjust=-0.4) ,

Dear all, I'm plotting some points on a graph where both axes need to have the same scale. See the example below. Coord_equal does that trick but in this case it wastes a lot of space on the y-axis. Setting the limits of the y-axis myself was no avail. Any suggestions to solve this problem? library(ggplot2) ds <- data.frame(x = runif(1000, min = 0, max = 300000), y = runif(1000, min =