similar to: Logrithmic histogram?

Hello I'd like to plot a histogram of some data composed of real numbers. The bin width I'm using is ~ 0.01, which results in high values in the y axis, so that the area under each bar corresponds to the probability of the data in that range. Is is possible to plot points whose y coordinate correspond to that probability, instead of plotting the histogram bars? In other words, instead of

I've seen this asked, but never fully answered.  Is it possible to plot stacked histograms in R? I have four data sets that I would like to show combined vertically in histogram format.  Is this possible?  Thank you for any feedback you can provide. P.S. I know I can show the four sets side by side, but I want to combine them, but still uniquely identify each.   Thanks again.

Hi, Does anybody encounter the same problem when we overlap histogram and density     that the density line seem to shift to the right a little bit?           If you do have the same problem, what should we do to correct that?           Thank you.           par(mar=c(4,4,2,1.2),oma=c(0,0,0,0))     hist(datobs,prob=TRUE, main ="Volume of a catchment from four    

Hi, Here are three plots: library(ggplot2) data(diamonds) randind <- sample(nrow(diamonds),1000,replace=FALSE) dsmall <- diamonds[randind,] qplot(carat, data=dsmall, geom="histogram",binwidth=1) qplot(carat, data=dsmall, geom="histogram",binwidth=.1) qplot(carat, data=dsmall, geom="histogram",binwidth=.01) What are ways to put these three plots on a single

Hello, this following code give a nice png: /library(ggplot2) i <- 1 png(file=paste('test ',i,'.png',sep='')) qplot(carat, data=diamonds, fill=color,geom='histogram')+scale_y_continuous(i) dev.off() / I would like to get more files, but the following code doesn't make any file: /library(ggplot2) for (i in 1:2) { png(file=paste('test

Hi, I am searching for a possibility to display a logarithimic y-axis in a histogram. With plot that's easy (e.g. plot(1:10, log="y") but for histograms this does not work the same way: I tried hist(rnorm(1000), freq=FALSE, seq(-4, 4, .5), ylim=c(0.001, 0.5), log="y") Which gives the expected histogram but also warnings for my log="y" command

Hello I'm doing some experiments with the various histogram functions and I have a two questions about the "prob" option and binning. First, here's a simple plot of my data using the default hist() function: > hist(data[,1], prob = TRUE, xlim = c(0, 35)) http://go.sneakymustard.com/tmp/hist.jpg My first question is regarding the resulting plot from hist.scott() and

Hi, I wish to plot multiple histograms(representing different data so different range along xaxis but y axis is the same) horizontally in ggplot2. I'd like it to look like facets. Is this possible? -- Rajesh.J [[alternative HTML version deleted]]

I have a vector x: table(x) 2 3 4 5 6 7 8 9 10 11 12 13 14 45547 11835 4692 2241 1386 820 593 425 298 239 176 158 115 15 16 17 18 19 20 21 22 23 24 25 26 27 94 88 76 67 47 46 40 20 30 22 20 33 14 28 29 30 31 32 33 34 35 36

Hi list, After a lot of tweaking i have managed to create a histogram with an overlaying density plot. The histogram shows a sample of birth weights of babies and the density plot shows birth weights from a much larger reference populaton. My data is divided in 0.1 Kg bins so in the code below binweigh=0.1. The trouble with the current graph is that it is not very clear since the density plot

I can't seem to get a histogram of dates: tmt910% R --vanilla R version 2.13.0 (2011-04-13) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 ... > temp <- as.Date(1:200, origin="1970/01/01") > range(temp) [1] "1970-01-02" "1970-07-20" > hist(temp) Error in .Internal(inherits(x, what, which)) : 'x' is missing

I have a column of 1000 datapoints from the normal distribution with mean 2 and variance 4. How can I get a histogram of these observations with 20 bins with each bin having 50 observations? -- Thanks, Jim. [[alternative HTML version deleted]]

Hi, I use a vector of data to draw the histogram, but it is different from the graph by SAS. Can you check it for me please? b is a column vector of 4332 hist(b,probability=T,breaks=30,col='lightblue',ylim=c(0,1)) rug(b) When I used rug, I find the records are smaller than 4332. I don't know where I did wrong. Thanks. -- Yi Du [[alternative HTML version deleted]]

I have read a frequency table in to R called "temp." I now want to create a histogram table from it, but I obviously first have to expand the data - to the sample size of 100. I want to use the command rep(), but I'm not sure how to go about it..I tried using the code: temp1<-rep(temp$Chest,100) hist(temp1) But this creates a v. odd histogram so I know it must be wrong!

Hi, Does anyone know how to do a coord_trans() in which the y-axis is tranformed into (for example) -1000/y? Thanks, _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102 Gilmer Hall McCormick Road Charlottesville, VA 22903 Office: B011

Is there a simple way to plot a histogram with colors? For example, suppose I generate random points in the N(2,1) distribution: x <- rnorm(100000, mean = 2, sd = 1) Now I would like to plot the histogram: hist(x) but I would like to show the bars with x < 0 in red, and the bars with x >= 0 in lightgreen. Is there any simple way to do it? I think I can do it in two steps:

Dear Rxperts, Below is a small sample of values (cut short due to space considerations while posting).. I was wondering if it is possible to construct boundaries (or intervals) based on the distribution of points. Is it anything similar to boundary detection of distributions? x1 <-

Is it possible to produce a histogram directly using the hist() function with the common borders removed? It can be done by plotting the histogram object using type 's'teps. my.hist <- hist(x,plot=FALSE) plot(my.hist$breaks,c(0,my.hist$counts),type='s') I would appreciate help Ross Darnell -- University of Queensland, Brisbane QLD 4067 AUSTRALIA Email: <r.darnell at

Hello, To indicate probability densities instead of counts on a histogram, I specify freq = FALSE. However, I expect that summing all top y coordinates over all the intervals of the histogram will provide 1. 1) v <- c(0.2885, 0.2988, 0.3139, 0.2615, 0.3179, 0.3163, 0.2583, 0.3052, 0.2527, 0.3147, 0.3235, 0.2408, 0.2480, 0.3108, 0.3577, 0.2829, 0.2694, 0.3275, 0.3314, 0.2639, 0.3076,

Hi Ian, Per your suggestion, I reinstalled R 2.9.0, then I reinstalled ggplot2 on top. The problem persists. Here's the what happens after the installation: > qplot (carat, price, data = diamonds, alpha = I(1/10)) Warning message: In grid.Call.graphics("L_points", x$x, x$y, x$pch, x$size) : semi-transparency is not supported on this device: reported only once per