similar to: barplot that displays sums of values of 2 y colums grouped by different variables

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,

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, 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

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

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

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

Dear all, I was hoping someone could help with a ggplot question. I would like to generate a faceted bar chart, but missing data are causing problems. g<-structure(list(Date = structure(c(11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052), class = "Date"), variable = c("Govt Revenues to GDP", "Govt Revenues to GDP",

Buenas noches, Tengo que preparar un gráfico de barras comparativo para varios años, en el que tenga agrupadas, 3 barras para enero, 3 barras para febrero, 3 barras para marzo y así sucesivamente para todos los meses, estando en cada mes, los años 2020, 2019 y 2018 (juntas), un pequeño espacio y luego las de febrero y así sucesivamente... Con el siguiente código, hago un año:

Given the data structure below, how can I create a bar plot for the values of disc for each area grouped by year? bar <-structure(list(year = c(2003, 2003, 2003, 2003, 2003, 2003, 2003, 2007, 2007, 2007, 2007, 2007, 2007, 2007), area = structure(c(6L, 4L, 1L, 2L, 3L, 5L, 7L, 6L, 4L, 1L, 2L, 3L, 5L, 7L), .Label = c("AK", "ID", "MT", "NW",

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("") +

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,

Hi all, Is it possible to change the filling of the squares used to represent the colour legend in a bar plot with ggplot? in this example, fillings are raven black, I'd like them white. ggplot(diamonds, aes(clarity, colour = cut)) + geom_bar() Regards -- ------------- Benoit Boulinguiez Ph.D student Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences

Hi, I have the following data: > Myvalues Gene ES MEF Embryo ESHyp 1 GeneA -0.38509507 0.00 1.6250 1.7039921 2 GeneB 0.06262914 0.00 1.6250 -0.272033 and so on... I want to plot the expression values of GeneA and GeneB in the different cell/embryo/conditions (columns 2:5 above). Now, if I do: >library(ggplot2) > qplot(x=Gene, Embryo, geom =

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

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

Dear R-experts, Here below my R code working with quite a few warnings.? x11 and x12 are dichotomous variable (0=no and 1=yes). I substract 1 to ignore intercept. I would like not to ignore intercept. How to modify my R code because if I just remove -1 it does not work? y= c(32,45,65,34,23,43,65,76,87,98,7,867,56,45,65,76,88,34,55,66) x11=c(0,1,1,0,0,1,1,1,0,0,1,0,0,1,0,0,1,1,0,1)

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 <-

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" bars on the plot.  That way the reader can get

Dear R listers, I am trying to produce a simple (for a stata user) barplot with 4 countries on the x axis, each country observed in 2 subsequent years and 3 variables. Basically, I should have three bars for each year for each country. I am attaching the chart I made in Stata, but I am not sure you'll manage to see it! I did the following: #here I create the data-set TUSE2. The vectors mw, st