similar to: Histogram plot help

In a histogram , is it possible to have different colors? Example. I generated x <- rnorm(1000000) hist(x) I want the histogram to have different colors based on the following condition mean(x)+sd(x) with red color and mean(x) - sd(x) with red color as well. The middle one with blue color. Is it possible to do that in R? Thanks

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,

Dear List, Say, we generate data like this- dat<-rnorm(1000,1,2) hist(dat) How do i make the histogram, say, red (col = 2) before X = dat = 0, and rest say, green (col = 3) beyond X = dat = 0 in R? The resulting histogram could be like this http://ehsan.karim.googlepages.com/histogram.JPG (edited) Thanks in advance. Ehsan http://ehsan.karim.googlepages.com/diaryofastatistician

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

Dear all, I have done further modifications on the histogram functions that I reported earlier this year, and I hope this can be of use and perhaps included in the distribution. I have been using this stuff a couple of months myself, and while it is nothing sophisticated, it has it's applications. :-) I did a few small modifications today to make it a bit more compact. I have modified the

Paul, I was trying to make a minimal self contained example, but I guess I went too far on the minimizing. The original problem came from code more like: library(TeachingDemos) hist(rexp(1000), main='') abline( v=1, col='red') sp.par <- subplot(hist(rnorm(100), main=''), x='topright') op <- par(sp.par[c('usr', 'plt')]) abline(v=0,

R-users, I have been using R for about 1 year, and I have run across a couple of graphics problem that I am not quite sure how to address. I have read up on the email threads regarding the differences between density and relative frequencies (count/sum(count) on the R list, and I am hoping that someone could provide me with some advice/comments concerning my approach. I will admit

Dear List, I have the following function where I plot on one page a histogram and a boxplot. I use option labels = TRUE in hist to show labels. However the label on the highest bar in the histogram is not showing entirely. How can I correct this? Thanks for any suggestions? histtst <- function(n = 100,...){ set.seed(15) # makes rnorm reproducible par(mfrow = c(2,1)) x <-

There were some questions about hist() a couple of days ago which triggered this post. My question/suggestion is about the y-axis in hist. There are reasons to prefer making the y-axis density=relative frequency/bin width. One reason is that the height of the plot does not depend on the bin width; another is that if your histogram is in density then you can easily superimpose a smooth theoretical

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

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:

In R0.61, In hist(), should the line rel.freqs <- counts/(sum(x) * diff(breaks)) computing the relative frequencies or height of the rectangles in a histogram not be rel.freqs <- counts/(sum(counts) * diff(breaks)) instead, or do I misunderstand something? Thanks, Philippe -- -------------------------------------------------------- Philippe Lambert Tel:

Dear everybody! I am analysing data from an enquette. The answers are either A or B. How can I draw a histogram without transforming the data from characters to numbers? If the data are saved in a list M, hist(M[,1]) returns: Error in hist.default(M[, 1]) : `x' must be numeric Execution halted Thank you in advance!

Hello, how do you create a histogram with a data frame? year snow.cover 1970 6.5 1971 12.0 1972 14.9 1973 10.0 1974 10.7 1975 7.9 ... mydata=data.frame(year=c(1970,...),snow.cover=c(6.5,...)) hist(mydata) does not work. Many thanks. PR

I have two large datasets (156K and 2.06M records). Each row has the hour that an event happened, represented by an integer from 0 to 23. R's histogram is combining some data. Here's the command I ran to get the histogram: > histinfo <- hist(crashes$hour, right=FALSE) Here's histinfo: > histinfo $breaks ?[1] ?0 ?1 ?2 ?3 ?4 ?5 ?6 ?7 ?8 ?9 10 11 12 13 14 15 16 17 18 19 20 21

Dear all, I am trying to create a lattice plot which consists of 1 xyplot and 2 histograms (each for x and y). My first try was like this: x<-rnorm(1000) y<-rnorm(1000) xy <- xyplot(y~x) hist.x <- histogram(x) hist.y <- histogram(y) print(xy, position=c(0, 0.2, 1, 1), more=TRUE) print(hist.x, position=c(0, 0, 1, 0.33),more=T) print(hist.y, position=c(0.8, 0, 1, 1)) Ok, this is

Dear all, Just a quick one, hopefully. I have a histogram made from the method 'hist()'. How do I get labels on the bars? Such that the bars will have the x axis on the bar, not the frequency of the point but the number of the point itself. To make a quick summary, I want the the numbers from 'losses' (below) to be on the bar's. Thanks, Paul

I have the 'breaks' for the histogram ('hist') but I want weight the cells instead of using actual observations. I thought that using freq=FALSE implied that the numbers in 'x' were weights but this turned out to be wrong. Any help and/or comment is very much appreciated. Regards, M?rten M?rten Bjellerup Doctoral Student in Economics School of Management and Economics

Hi, search on web indicates that R also includes a hist method on POSIXct vectors. My (perhaps too unexperienced) approach below yields an error. Could somebody give me a hint what's wrong ? Peter > str(samples) `data.frame': 7500 obs. of 1 variable: $ DateTime:'POSIXct', format: chr "2006-07-20 00:10:08" "2006-07-20 00:11:17" "2006-07-20

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