similar to: histogram plot spacing problem

Dear all, I'd like to remove the space between the x-axis and the 0 of the y-axis in the hist function. I saw the previous post https://stat.ethz.ch/pipermail/r-help/2012-September/324177.html suggesting adding the x-axis at position 0 (or the lowest value of y) after making the histogram. Unfortunately, it doesn't work in my case as I want to use it with a histogram with a ylim starting

Hi, This might be a simple problem but I don't know how to calculate a random variable density the way panel.histogram does it before it creates the actual density rectangles. The documentation says that it uses the density function but the actual code suggests that the hist.constructor function (which does not seem to be easily accessible). Any suggestion for computing the density values of

Is there any way to control the spacing between bars in a histogram, or change the border width (I'm assuming the hist() function, though alternatives are welcome)? I'm interested in changing the visual spacing between columns in a plotted histogram. The general effect I'm looking for can be accomplished in barplots using the "width=" parameter, but I have not been able

Dear All, I would like to be able to plot histograms/densities on a semi-log or log-log scale. I found several suggestions online http://tolstoy.newcastle.edu.au/R/help/05/09/12044.html https://stat.ethz.ch/pipermail/r-help/2002-June/022295.html http://www.harding.edu/fmccown/R/#histograms Now, consider the code snippet taken from http://www.harding.edu/fmccown/R/#histograms # Get a random

been puzzling over this for a day. Summary integer variable to use with histogram, 170,000 rows. Value is day of year. Hist works, lattice histogram with nint does not work (spurious spikes in display), lattice histogram using breaks=c(0:365) works fine. Spike values appear to be sum of two adjacent bins. Want to know if this is a familiar problem, and what the recommended work-around is.

Hello, Could someone explain to me why I get so different histograms, in terms of bar spacing, depending on the number of counts entered ? (see example below) > test <- c(0,1,1,1,1,0,0,0,0,0,2,3,2,2,2,3,3,4,5,6,7,5,4,3,4,2,2) > hist(test) I obtain this kind of histogram (what I actually want), i.e. large bars with no space between them x xx xxx xxxx xxxxx xxxxxx

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:

Hello, all; I get an unexpected result when trying to plot a probability histogram with R1.9.1 on windows xp: #with the following code: > x <- runif(100,0,1) > hist(x) > hist(x, freq=F) > h <- hist(x, freq=F) > summary(h) # Length Class Mode #breaks 11 -none- numeric #counts 10 -none- numeric #intensities 10 -none- numeric #density 10

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

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 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

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

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

Hello All,* *I want to draw a histogram with density curve. * *For that simply i created a data called*"x" *and i used the function called * hist(x, col = "blue", freq = FALSE),** *from this function i got a histogram*. *After that , i tried this function* ** lines(density(x), col = "red", lwd = 2 ) *but i could not get the density curve. So, Again i used

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

Hello: I'm dealing with an issue currently that I'm not sure the best way to approach. I've got a very large (10G+) dataset that I'm trying to create a histogram for. I don't seem to be able to use hist directly as I can not create an R vector of size greater than 2.2G. I considered condensing the data previous to loading it into R and just plotting the frequencies as a

Hi, ? I have a relatively big dataset and I want to construct some histograms using the histogram function in lattice. One thing I am interested in is to look at differences between density and percent. I know I can use the hist function but it seems that this function gives sometimes some wrong answers and the density is actually a percent since it is calculated as counts in the bin divided by

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

Dear All: I plotted a histogram with Abline, clipping with color codes but i run into some problems. The "abline' does not show up at all, and when i request the 'prob=True' (to obtain the freqs), my clipped region colors the section of the graph instead of the plot only. Is there any way i can get the y-axis figures to be in whole numbers rather than decimals? Many thanks

Dear Rusers, I would like to color different sections of a histogram different colors. I have an example that was done by "brute force" given below. Has anyone implemented something like this in general? If not, any suggestions/pointers on how to write a general function to do so would be most appreciated. Alan-