similar to: binning data

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

I am trying to produce frequencies in defined intervals however I can't seem to figure out how to get R to bin my data the way I want it to. I have several thousand lengths of fish that I want to be binned as follows: Ex. Length Bin 209 200 219 210 431 430 727 720 That is, bins with any length equal to or greater than the lower

Dear R-help, I am interested in using structural equation modeling. Just getting started with it, but I'm looking for suggestions for packages. As an aside, what's the best way for looking for packages at CRAN? -- Robert Terwilliger Biomedical Physicist Laboratory of Neurocognitive Development Western Psychiatric Institute and Clinic University of Pittsburgh Medical Center Loeffler

Hi, I have tab-delimited data with an unequal number of entries per column, of the sort: A B C 1 2 2 3 4 1 5 2 2 6 2 5 2 3 6 2 I would like to make a histogram of the frequencies of each represented number in a "stacked" histogram, where you can see the contribution of each group (A, B or C) to the total height of the bar, and each bar labeled with the

Dear R users, I would like to great a frequency table from raw data and then access the classes/bins and their respective frequencies separately. Here the code to create the frequency tables: x1 <- c(1,5,1,1,2,2,3,4,5,3,2,3,6,4,3,8) t1 <- table(x1) print(t1[1]) Its easy to plot this, but how do I actually access the frequencies alone and the bins alone? Basically I am looking to get:

Hi, Short Version: Is there a function to re-bin a histogram to new, broader bins? Long version: I'm trying to create a histogram, however my input-data is itself in the form of a fine-grained histogram, i.e. numbers of counts in regular one-second bins. I want to produce a histogram of, say, 10-minute bins (though possibly irregular bins also). I suppose I could re-create a data set as

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

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

I'm trying to create a histogram from the following code, but my data keeps adding the Num vector and plotting that. My data in the CSV file is just one vector. Does anyone know why? Thanks Conrad SPXdf = data.frame(read.csv(file = "SPX.csv", header = TRUE, sep = ",", dec = ".", fill = TRUE)) Max = max(SPXdf[,2]) Min = min(SPXdf[,2]) Count =

I have what is probably a simple problem. I have a data file from an MCMC Bayes estimation problem that is a vector of 500,000 numeric values (just one variable) ranging from 100,000 to 700,000. I need to display the histogram of this data in a high quality graphic for a figure in a journal publication. I want 100 bins so as to display a reasonable complete and smooth histogram, and I need the

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, I want to be able to plot a single histogram of a measured trait with trait values from two conditions on the same histogram to allow easy comparison. I have previously done this in excel by plotting the two series on a single bargraph having calculated frequencies in bins. You then get one condition plotted immediately to the right of the other. I hope that makes sense? I don't

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 R-list, I've been using hist to plot histograms of some data, but I get variable numbers of bins. I understood from reading the help file that breaks will set the number of bins. Please correct me if I'm wrong. I'm plotting measures from subsets of a larger data set. Depending on the data subset the number of bins varies despite having set breaks to 5 in all cases. See

See ?hist For example hist(rnorm(100),plot=F,breaks=-3:3)$counts Regards Wayne -----Original Message----- From: Silvia Kirkman [mailto:silviakirkman@yahoo.com] Sent: 21 June 2004 14:01 To: r-help@stat.math.ethz.ch Subject: [R] frequencies Hi I have a set of fish lengths (cm) which I'd like to have divided into bins as specified by myself. I want to classify my bins as: 0<=x<0.5

Dear all, I have a surprising problem with the representation of frequencies in a histogram. Consider, for example, the R code: b<-rnorm(2000,3.5,0.3) hist(b,freq=F) When I plotted the histogram, I expected that values in the y-axis (the probability) varied between 0 and 1. Instead, they varied within the range 0-1.3. Have you got any suggestion for obtaining a correct graph with

hi all : i have the data below and then below that, i call the hist function three times using the Scott method for the widths of the bins. the bin width is different for the three histograms but I would like it to always be 0.05 regfardless of the data set being histogrammed. I'm sure there must be a manual way to do this which is fine with me. i tried breaks=0.05 but it wasn't happy

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:

Hello I need to plot a histogram, but insted of using bars, I'd like to plot the data points. I've been doing it like this so far: h <- hist(x, plot = F) plot(y = x$counts / sum(x$counts), x = x$breaks[2:length(x$breaks)], type = "p", log = "xy") Sometimes I want to have a look at the "raw" data (avoiding any kind of binning). When x