similar to: ggplot2 - how to get rid of bar boarder lines

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

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

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

Hi there, I'm trying to find out the command to stop clipping to plot region in ggplot. I have a bar chart (axis flipped) with labels on the bars, but the labels are clipped at the plot region box. I know it's possible to turn this off for base and lattice, but how about ggplot? par(xpd=NA) The ggplot2 manual doesn't seem to mention it, and a search for ggplot and

We are in the process of analyzing data from a discrete-choice conjoint survey and are looking for a consultant who can help us assess willingness to pay (WTP). We are currently able to assess overall WTP using the coefficients from our conjoint analysis but would like assistance in determining if significant differences in WTP exist across a number of subgroups via a segmented analysis or some

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.

To whom it may concern, I have a problem concerning the design of a histogram. How do I change the border widths of the bars of a histogram. The initial command is: hist (punkte,breaks=30, xlab="Punkte", ylab="H?ufigkeit", main="Histogramm", col= heat.colors(30), border= "red") I suspect that it has to do with the "lwd" command but can't

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data

Hi, I wanted to generate a plot which is almost like the plot generated by the following codes. category <- paste("Geographical Category", 1:10) grp1 <- rnorm(10, mean=10, sd=10) grp2 <- rnorm(10, mean=20, sd=10) grp3 <- rnorm(10, mean=15, sd=10) grp4 <- rnorm(10, mean=12, sd=10) mydat <- data.frame(category,grp1,grp2,grp3,grp4) dat.m <- melt(mydat) p <-

Hi all-- I am in the process of helping colleagues write up a ms in which we fit zero-inflated Poisson models. I would prefer plotting the rate ratios and 95% CI (as I've found Gelman and others convincing about plotting tables...), but our journals usually like the numbers themselves. Thus, I'm looking at a recent JAMA article in which both numbers and dotplot of RR and 95% CI are

Full_Name: David Hedin Version: R 2.6.0 GUI 1.21 OS: Mac 10.4.11 Submission from: (NULL) (24.205.60.123) page 64 of the R introduction document makes the claim "If the probability=TRUE argument is given, the bars represent relative frequencies instead of counts" This is wrong, the densities (relative frequency/class width) are given, not the relative frequency. It's only true

Dear R Users: I have the individual mortality rate and 95% CI of 100 hospitals, how to do the plot with the individual hospital in the Yaxis, and the mortality rate and 95% CI in the Xais and a overall mean as a reference line? Thanks and regards, Xin [[alternative HTML version deleted]]

I am having trouble getting data labels to display over the provinces in a GADM map of Canada. Specifically, I need the variable "Number" from the data set "by_province", grouped by "region", to appear on the corresponding regions of the map. The data set "by_province" looks like this: long lat order hole piece region

Thomas et al, Unless you already use some JSEditor, it would be worth trying this one - JSEclipse: Mini Review: http://getahead.ltd.uk/blog/joe/2005/09/27/1127804875944.html Download: http://www.interaktonline.com/Products/Eclipse/JSEclipse/Overview/ >From the review: "Another example of it grokking Javascript much better than the Eclipse WTP Javascript editor is how it understands

I took some data from an online poll about which R GUI people used most and I am messing around with it to learn how to use qplot. Specifically I am making a horizontal bar graph and I have two questions. 1. The categories are ordered in rather strange way at least to me. It is not alphabetical or ascending/descending order of votes cast so i had to manually state the order I wanted which is

Hi Dear all, I am making Venn Diagram plots in R. I attached an example: http://r.789695.n4.nabble.com/file/n3919206/venn.jpeg I want to get rid of the black boarder line, is there any way to do it? Thank you very much, Karena -- View this message in context: http://r.789695.n4.nabble.com/A-questions-regarding-R-plots-tp3919206p3919206.html Sent from the R help mailing list archive at

I think you should be more suspicious of yourself, Dimitri. A letter T variable can easily arise in the problem domain when you are not thinking of logical values at all, at which point your cavalier use of T as a synonym for TRUE can suddenly become a bug. -- Sent from my phone. Please excuse my brevity. On July 27, 2017 8:18:03 AM PDT, Dimitri Liakhovitski <dimitri.liakhovitski at

Dear R-list, maybe some of you could point me in the right direction: Are you aware of any FREE Fortran or Java libraries/actual pieces of code that are VERY efficient (time-wise) in running the regular linear least-squares multiple regression? More specifically, I have to run small regression models (between 1 and 15 predictors) on samples of up to N=700 but thousands and thousands of them. I

Hello! I have a column in my data frame that I have to split: I have to distill the numbers from the text. Below is my example and my solution. x<-data.frame(x=c("aaa1_bbb1_ccc3","aaa2_bbb3_ccc2","aaa3_bbb2_ccc1")) x library(stringr) out<-as.data.frame(str_split_fixed(x$x,"aaa",2)) out2<-as.data.frame(str_split_fixed(out$V2,"_bbb",2))

Hello! I am trying to understand how ggplot2's geom_bar treats NAs. The help file says: library(ggplot2) ?geom_bar na.rm: If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed. I am trying it out: md <- data.frame(a = c(letters[1:5], letters[1:4], letters[1:3], rep(NA, 3))) str(md); levels(md$a) ggplot(data = md, mapping = aes(x =