similar to: unexpected breaks in hist

Hello, I'm using R 1.2.2 on Sun Solaris. I have data frame with 4 levels of factor "type". See the example data frame below. type token variance 20 ku n031ku10.10msmeanc 77199422 21 ku n031ku11.10msmeanc 55682249 22 ku n031ku12.10msmeanc 52003965 23 ti n031ti01.10msmeanc 54511040 24 ti n031ti02.10msmeanc 58940197 25 ti n031ti03.10msmeanc

Can someone help me with a misunderstanding I'm having with hist? I expected, from the example below, that the number of bins would always be 10 and the length of the counts array the same. According to the help section 'breaks' can be a integer indicating the number of bins. From the example below, the number of bins (length of the counts array) varies. Am I wrong in expecting the

Hi R users, My goal is to rank my samples according to how they fall out in a histogram with 10 bins to produce a ranking for each sample according to where it falls on the histogram, with a "1" to represent one tail of the hist, a "10" to represent the other tail, and a "5" for the median/mean. I have a number of different data sets to do this with and in all cases

When preparing a series of histograms I found that hist was combining the two lowest categories or bins, 1 and 2. Specifying breaks, as illustrated below, resulted in the correct histogram: values <- sample(10,500,replace=TRUE) hist(values) hist(values,breaks = 0:10) Apparently, the number of values strictly less than 1 is shown in the first bin (and since none is less than 1,

Hi, I have a couple of observations, a question or two, and perhaps a suggestion related to the plotting of density on the y-axis within the hist() function when freq=FALSE. I was using the function and trying to develop an intuitive understanding of what the density is telling me. After reading through this fairly helpful post:

Full_Name: Gerald Guglielmo Version: 2.8.1 (2008-12-22) OS: OSX Leopard Submission from: (NULL) (131.225.103.35) When I attempt to use the hist() function to bin integers the behavior seems very odd as the bin boundary seems inconsistent across the various bins. For some bins the upper boundary includes the next integer value, while in others it does not. If I add 0.1 to every value, then the

The command hist(c(2,2,2,4,5,6)) returns a histogram that looks incorrect -- 3 in the bin labeled 2 on the left, but 1 each in the bins labeled 3,4,5 on the left. Thanks! Pam Surko -------------------- > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor

Full_Name: Reinhold Koch Version: 1.6.1 OS: redhat 8.0 Submission from: (NULL) (131.152.84.111) I came across rather weird behavior of the breaks in hist: hist(1:3) gives the expected result, besides an unnecessary gap between 2nd and 3rd column hist(1:4) always merges up the first two columns, also if I resort to hist.default(1:4,breaks=1:4). hist.default(1:4, include.lowest=F) gives an

Hello all. I noticed that the default setting for breaks in the construction of histograms in hist() is ?right = TRUE?. I think ?right=FALSE? would be more consistent with usual definitions of lower and upper limits for bins in applied statistics, and I suggest that you consider making it the default for hist(). For example, I generated the following frequency distribution for duration of

Hi, I have a casting/formatting question on hist.POSIXt: The histogram plot from POSIXct works perfect (with help of Prof. Ripley -thanks!). When processing the hist(plot=FALSE) output and then plotting the results over the x-axis (bins) coming from hist(), I lose the date/time labels, getting instead integers displayed. Trying to cast the $breaks with as.POSIXct gives silly results with

Dear list I am trying to re-scale a histogram and using hist() but can not seem to create a reduced scale where the upper values are not plotted. What I have is about 100 of which 80 or so are between a value of 0 and 40 , one or two in the hundreds and an outlier around 2000. What I would like to do is create an x-scale that shows 5 bins between 0-100 and then 3/4 bins between 100 and 2000

Hi all, I am doing histogram using the "hist" function. For some reason, the histogram does not look good... is there a way I can change the number of bins, and/or change the way that data gets binned... so that I can obtain a better looking histogram? Thanks a lot! [[alternative HTML version deleted]]

On 06-Nov-09 23:30:12, gug at fnal.gov wrote: > Full_Name: Gerald Guglielmo > Version: 2.8.1 (2008-12-22) > OS: OSX Leopard > Submission from: (NULL) (131.225.103.35) > > When I attempt to use the hist() function to bin integers the behavior > seems > very odd as the bin boundary seems inconsistent across the various > bins. For > some bins the upper boundary

Hi, Thank you for responding quickly and explaining the behavior. By adding "include.lowest=TRUE,right=FALSE" and manually including breaks that resolved the simple test case. Next I updated my more complex data set, which already had manually defined breaks, and that resolved my issues there too. I have now gone in and updated all my functions which use hist() so I

Think I'm missing something to understand what is going on with hist(...) http://n2.nabble.com/What-is-going-on-with-Histogram-Plots-td3022645.html For my example I count 7 unique years, however, on the histogram there only 6. It looks like the bin to the left of the tic mark on the x-axis represents the number of entries for that year, i.e. Frequency. I guess it looks like the bin for

Dear developers, the current implementation of hist.default() calculates 'density' (and 'intensities') as dens <- counts/(n*h) where h has been calculated before as h <- diff(fuzzybreaks) which results in 'fuzzy' values for the density, see e.g. > tmp <- hist(1:10,breaks=c(-2.5,2.5,7.5,12.5),plot=FALSE) > print(tmp$density,digits=15) [1]

Running the following lines I got a strange plot from hist function: x<-0:30 hist(x,breaks=31) As you can see, the 0 value appears two times in the plot. The Y axis only presents 1 as the highest value when: hist(x,breaks=62) Nevertheless, it seems to have two bars between 0 and 1. Could someone please explain to me why it is happening? Many thanks in advance!

Hi all, I came across some curious behavior today in using hist.Date() and subsequently noted the same behavior in cut.Date(), both of which are using similar code when 'breaks = "months"' or 'breaks = "years"'. I was in the process of creating a histogram of subject enrollment in a clinical trial. The counts needed to be by month, so essentially used:

Hi, I am trying to plot a histogram with my dataset that has 68 elements, 67 of which are zero and the last one is 18. It can be reproduced as follows: x<-array(0, dim=(68)) x[1] = 18 I am trying to plot its histogram using: hist(x, breaks=10, xlim=c(0, 100), axes=F) axis(2, at=seq(0, 70, 5)) # for the y-axis axis(1, at=seq(0, 100, 10)) # for the x-axis As you would also see if you

Going over my old notes, I realised that hist() has changed since the earlier versions of R, in that the intervals are now left-open,right-closed rather than the opposite. This is a change in the direction of S-plus compatibility, but I wonder how sensible it really is. The main problem is with ages, where you'd naturally take age 17 as representing something between 17 and 18, but: >