similar to: ggplot2 question ...

I was wondering if anyone could help me with this, simple problem. I am essentially following the example on Hadley's webpage (http://had.co.nz/ggplot2/geom_errorbar.html), but it still doesn't make any sense to me. df <- data.frame(trt = factor(c("intact", "intact", "removed", "removed")), coon = c(0.093, 0.06, 0.057, 0.09), group =

Dear List, (self-contained example + version info at the bottom) I'm having trouble producing a barplot using the functions in ggplot2. When I use the position="dodge" option, the bars are plotted but also a number of spurious markers. More specifically, a number of black dots are plotted in the graph that should not be there. This behaviour is not seen when calling the same

It is not generally advisable to get too fancy with stat functions in ggplot... things can easily get more complicated than ggplot is ready to handle when it comes to calculations. It is better to create data that corresponds directly to the graphical representations you are mapping them to. Read [1] for more on this philosophy. [1] H. Wickham, Tidy Data, Journal of Statistical Software,

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 A X4 58.74 9.44 2 B X4

Dear list (probably Hadley), I'm trying to do a plot like the following, composed of bars and error bars: df <- data.frame(factor1=gl(2,5), factor2=gl(5,1), y=rnorm(10), err=0.1) ggplot(df, aes(x=factor1, y=y, fill=factor2)) + geom_bar(position="dodge", stat="identity") + geom_errorbar(aes(min=y-err, max=y+err), position="dodge", width=0.1) The

Hello HelpeRs, The last print statement in the code segment below results in : Error in data$x[data$x == -Inf] <- range$x.range[1] : replacement has length zero R version 2.14.1 Patched (2011-12-23 r57982) ggplot2: version 0.90 OS : Linux (64bit) Any thoughts? Many Thanks, A. ## code segment starts here df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5,

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

Dear R-users, i encountered some problems when trying to adjust the line width of the axes and stripes in a plot created with ggplot2. I use the "barley" dataset of the lattice package to illustrate my problem: library(ggplot2) library(lattice) barley[["SD"]] <- 5 limits <- aes(ymax=barley$yield + barley$SD,ymin=barley$yield - barley$SD) p1 <-

Hello! I am using ggplot2: ggplot(myplotdata, aes(x=att_levels, y=WTP)) + geom_bar(stat="identity",fill="dark orange",colour="black", alpha = 1,position = "identity") + geom_text(aes(label=WTP),colour="black",size=4,hjust=1.1,position='dodge') + coord_flip() + xlab("") +

hi there.. i got a problem with ggplot2. here my example: library (ggplot2) v1 <- c(1,2,3,3,4) v2 <- c(4,3,1,1,9) v3 <- c(3,5,7,2,9) gender <- c("m","f","m","f","f") d.data <- data.frame (v1, v2, v3, gender) d.data x <- names (d.data[1:3]) y <- mean (d.data[1:3]) pl <- ggplot (data=d.data, aes (x=x,y=y)) pl

Hello! I am using ggplot2 (see the code below) to plot the data in 'myplotdata'. The first column of 'myplotdata' is called "att.levels" and contains strings; the second column is called "WTP" and contains numeric values. Notice - I use 'coord.flip()' The command aes(x=att_levels, y=WTP), if I understand correctly, sorts things alphabetically based on

Hello again, everytime I think I got something to work, the next issue comes up... I have the following data.frame, I want to visualize: > data_rb tld spam1 spam2 share 1 ca 826436 73452 0.0889 2 org 470550 25740 0.0547 3 de 156042 15531 0.0995 4 com 140753 7527 0.0535 5 edu 34845 2507 0.0719 6 net 12781 382 0.0299 7 ru 7648 18 0.0024

R-help - I'm trying to create axis breaks similar to this : http://www.r-bloggers.com/wp-content/uploads/2010/08/bar-chart-natural-axis-split1.png . Is there a way to do this in R? Here's my code thus far: structure(list(condition = structure(c(2L, 1L, 3L), .Label = c("con", "exp", "unedit"), class = "factor"), trial.avg = c(4.04583333333333,

I am trying to create a barplot displaying the sums of 2 columns of data grouped by a variable. the data is set up like this: "city" "n" "y" <br> mon 100 200 <br> tor 209 300 <br> edm 98 87 <br> mon 20 76 <br> tor 50 96 <br> edm 62 27 <br> the resulting plot should have city as the x-axis, 2 bars per city, 1 representing

https://stackoverflow.com/questions/25070547/ggplot-side-by-side-geom-bar On Mon, Jan 15, 2018 at 9:39 PM, Kenneth Dyson <kenneth at kidscodejeunesse.org > wrote: > Hi Eric, > > Thanks for the detailed response. > This is not exactly what I want to do but is close. > I want 2 bars for each city, 1 with the sum for "yes" , the other, beside > it, with the sum for

Hi all: Using the example below, is there a way to add Y axis titles to each graphic instead of sharing the same title? library(ggplot2) RT = matrix(c(814, 500, 424, 394, 967, 574, 472, 446),4,2) colnames(RT) = c('repetition','alternation') rownames(RT) = c('7-yrs','11-yrs','15-yrs','21-yrs') rt <- melt(RT) names(rt) <- c("age",

Hi, I'm plotting a bar chart like this: ggplot() + geom_bar(data=res,aes(fill=f1,x=f2,y=y),stat="identity",position="dodge") f1 contains quite a few levels and the plot is really quite difficult to read when the order of bars on the graph and on the legend does not match. This problem has been discussed recently here:

Hi, I was trying to make a horizontal bar plot. The barplot works when the text labels are of reasonable length, but not if some of them are slightly long. I think the long ones get 'squeezed' by default before the plot is flipped and keep the skew after the flip. Is there a way I can get around this? In the code below, plot px looks just fine, but the labels get staggered in plot py.

Hi, Just find a scaling factor that would make the two sets of data comparable. Here I divided the second row by 5 and did the same for the second axis. Charles-?douard F1 <- as.table(matrix(c(50,11,6,17,16,3,1,2237,611,403,240,280,0,0), 2,7)) barplot(F1, beside = TRUE, col = c("blue", "grey")) axis(2, at=c(0,10,20,30,40,50,60, labels=c(0,10,20,30,40,50,60))) axis(4, at =

Hi all I have a large dataframe with (among others) a categorical variable of 52 levels and would like to create a barplot with the bars ordered in decreasing frequency of the levels. I belive it is referred to as a pareto plot. Consider a subset where I keep only the categorical variable in question. # Example: v1 = c("aa", "cc", "bb", "bb",