search for: position_dodge

...y-axis (species name) on the right figure to avoid duplication, and (3) fix the width, such that both figures have the same apparence regardless of the legend. Thank you very much in advance! The code is as follow: (a<-ggplot(Final2, aes(x=spp, y=CPUE, fill=season)) + geom_bar(position=position_dodge()) + geom_errorbar(aes(ymin=CPUE-cpue.se, ymax=CPUE+cpue.se), size=.3, width=.2, position=position_dodge(.9)) + xlab("Species") + scale_x_discrete(breaks=c("100","102","107","88",&quo...

...levels=c("F", "E", "C", "D", "A", "B"), order=T) # plotting: ggplot(Summ, aes(factor3, mean, group = factor1, ymin = mean - sdv , ymax = mean + sdv)) + geom_point(position = position_dodge(width = 0.25), size = 3) + geom_line(position = position_dodge(width = 0.25)) + geom_errorbar(width = 0.3, position = position_dodge(width = 0.25), size = 0.3) + facet_wrap(~Grouping, ncol = 2) + theme(strip.background = element_blank()) + scale_shape(solid = FALSE)+ theme_bw() + yla...

...grp = factor(rep(rep(1:3, 10), 4))) ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point() Yet the position of the points and the position of the boxes on the x-axis is not the same. I would like that the points are shifted accordingly, such that they line up with the boxplots. I tried position_dodge: ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point(aes(ymax=max(y)), position = position_dodge(width=.75)) but that did not really help, as all points are now dodged and I just want to have a fixed offset for each subgroup of points such that the boxplot and the points are aligned....

Hi, i'm using this lines of code: dodge <-position_dodge(width=0.9) ggplot(dfm,aes(x = X,y = value)) + geom_bar(aes(fill = variable), position=dodge, stat="identity") + geom_errorbar(aes(ymin=value-er, ymax=value+er),width=0.25, position=dodge,stat="identity") to plot this data frame X variable value er 1...

...factor(c("veget", "fruit", "veget", "fruit")), se = c(0.01, 0.01, 0.02, 0.026)) limits <- aes(ymax = coon + se, ymin=coon - se) p<-ggplot(df, aes(fill=group, y=coon, x=trt)) p+geom_bar(position="dodge",stat="identity") dodge <- position_dodge(width=0.9) > p + geom_bar(position="dodge") + geom_errorbar(limits, position="dodge", > width=0.5) as you noticed the code above gets the error bars in the wrong columns. So I used the code below (I replaced position_dodge w/ a negative value and geom_errorbarr with dodg...

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

I'm looking at ggplot-static\position_dodge.html   For ggplot(diamonds, aes(x=price, fill=cut)) + geom_bar(position="dodge") , is it possible to specify the spacing between the dodge'd bin groupings?    That is, I would like for there to be a small separation (horizontal space) between the "Ideal" and the "Fair&...

...name = factor(rep(letters[1:10], 2), levels = letters[1:10]), type = factor(c(rep("orig", 10), rep("match", 10)), levels = c("orig", "match"))) ggplot(df, aes(x = name, y = value, fill = type)) + geom_bar(position = position_dodge()) + coord_flip() Thank you very much, YL

...667 ... Current code is: Ab.avg<-ddply(June, c("TRT", "habitat"), function(df) return(c(Ab.avg=mean(df$Abundance), Ab.sd=sd(df$Abundance)))) avg.plot<-qplot(TRT, Ab.avg, fill=factor(habitat), data=Ab.avg, geom="bar", position="dodge") dodge <- position_dodge(width=0.9) avg.plot++geom_linerange(aes(ymax=Ab.avg+Ab.sd, ymin=Ab.avg-Ab.sd), position=dodge)+theme_bw() http://r.789695.n4.nabble.com/file/n4223035/june_bar_graph.png Also, would like to plot 4 of these bar graphs (for four dates) on the same screen, I cannot get the par() or layout() function...

...s","s","f","f","s","f") r<-c(4.9,3.2,2.1,.2,3.8,6.4,7.5,1.7,3.4,4.1,2.2,5) #Turn spd into a factor spd.f<-factor(spd) #Place data into a data frame data<-data.frame(cbind(spd.f,r)) #Load ggplot2 library(ggplot2) #Create plot pd<-position_dodge(.2) myplot<-ggplot(data,aes(x=spd,y=r,colour=spd))+ geom_errorbar(aes(ymin=3,ymax=5),width=.1)+ geom_point()+ geom_errorbar(aes(ymin=1,ymax=6),width=.1,colour="black",position=pd) #Display plot myplot I have attached a plot that my sample code produces. As you can see the error...

...] <- t(apply(bootstrap, 1, quantile, c(0.025, 0.975))) newdata0$model <- "Zero inflated" #compare the intervals in a nice plot. newdata <- rbind(newdata, newdata0) library(ggplot2) ggplot(newdata, aes(x = fem, y = fit, min = X1, max = X2, colour = model)) + geom_point(position = position_dodge(width = 0.4)) + geom_errorbar(position = position_dodge(width = 0.4)) Best regards, Thierry ------------------------------------------------------------------------ ---- ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodo...

...hs_flat_df<-rbind(VADeaths_flat_tmp1, VADeaths_flat_tmp2) VADeaths_flat_df<-rbind(VADeaths_flat_df, VADeaths_flat_tmp3) VADeaths_flat_df<-rbind(VADeaths_flat_df, VADeaths_flat_tmp4) bin_size<-15.0 ggplot(VADeaths_flat_df, aes(x = factor(Data), fill = factor(Person))) + geom_bar(position=position_dodge(width =(20)), binwidth=20) # or ggplot(VADeaths_flat_df, aes(x=factor(Data))) + geom_histogram(binwidth=20)    Thanks again for any feedback you provide. [[alternative HTML version deleted]]

...from both a procedural and an aesthetic point of view, what do people recommend? Below is an example that hacks (not quite "jitters", because it's systematic) the x locations a bit, but I find it a bit ugly. (I was also hoping that ggplot had some magic to do this automatically, but position_dodge doesn't seem to work in this context ...) Ben Bolker library(ggplot2) nx <- 3 ngrp <- 5 nper <- 4 x <- rep(1:nx,ngrp*nper) y <- runif(nx*ngrp*nper) g <- factor(rep(1:ngrp,each=nx*nper)) dat <- data.frame(x,y,g) se <- with(dat,tapply(y,list(g,x),sd)/table(g,x)) mea...

...it) Any thoughts? Many Thanks, A. ## code segment starts here df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5, 3, 4), group = factor(c(1, 2, 1, 2)), se = c(0.1, 0.3, 0.3, 0.2) ) df2 <- df[c(1,3),] limits <- aes(ymax = resp + se, ymin=resp - se) dodge <- position_dodge(width=0.9) p <- ggplot(df2, aes(fill=group, y=resp, x=trt)) p <- p + geom_bar(position=dodge) # This is OK print(p) # This is OK print(p + coord_polar()) p <- p + geom_errorbar(limits, position=dodge, width=0.25) # This is OK print(p) # Error at the next statement print(p + coord_po...

Hi, I often use plotmeans() from the gplots package to quickly visualize a pattern of change. I would like to be able to plot separate lines for different groups, but the function gives an error when a grouping variable is included in the formula argument. For instance, > require(gplots) > x <- data.frame(Score=rnorm(100), Time=rep(1:10, 10),

...icized delta dat$gltr = factor(c("italic(\u03b4)^14*N","italic(\u03b4)^15*N","italic(\u03b4)^13*C")) #So this is what I want my plot to look like: plt <- ggplot(data = dat, aes(x = yy, y = x)) + geom_point(aes(x= yy, y=x, shape=z, group=z), alpha=0.4,position = position_dodge(width = 0.8)) + facet_grid(gltr~.,labeller= label_parseall, scales="free_y") plt #So then I exported my plot as a PDF like so: pdf("Times_regular.pdf", family='Times') plt dev.off() #The problem with this was that the delta symbols turned into dots. #I solved this...

Hi With ggplot2 I can very easily create beautiful histograms but I would like to put two histograms on the same plot. The histograms may be over-lapping. When they are overlapping the bars are shown on top of each other (so that the overall height is the sum of the two). Is there any way to get them to display overlapping (with smaller value in front, larger value behind) so that the overall

Hello, I am trying to create a series of boxplots with the following data, three columns, "Day" (1 or 2), "Site" (1-4), and "VO2" (some values missing for some Sites or Days) > CorbulaMR3 Day Site VO2 1 1 1 88.92223 2 1 1 86.17873 3 1 1 61.08950 4 1 1 190.47922 5 1 1 98.65930 6 1 1 121.03549 7 1 1 67.88404 8

...m: library(ggplot2) library(lattice) barley[["SD"]] <- 5 limits <- aes(ymax=barley$yield + barley$SD,ymin=barley$yield - barley$SD) p1 <- ggplot(barley,aes(fill=year,y=yield,x=variety)) p2 <- p1 + geom_bar(position="dodge",stat="identity") dodge <- position_dodge(width=0.9) p3 <- p2 + geom_errorbar(limits,position=dodge,width=0.5,size=0.7) p4 <- p3 + facet_wrap(~site,ncol=2) p5 <- p4+theme_bw(base_size=16) p5 last_plot() + opts(panel.grid.minor=theme_blank()) # deletes the minor grid lines ## Now i would like to increase the width of all rema...

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #