similar to: Questions about histograms

hi all a very simple question once again!!! can we change the "y" range in a histogram? e.g. x=rnorm(1000) hist(x,ylim=0.5,prob=T) #this does not work any suggestions???

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

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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'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

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:

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    

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

HI everyone, I'm plotting a histogram in R and within that histogram i need to demonstrate the percentage of another variable (Percentage of MutStatus) within the bins plotted inthe histogram....I don't know how to do that! Data:Validation_Status Mutation_Status TvarRatio Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.080139373 Wildtype None

Hi, I have a set of observations which are divided into two sets A and B. I have some code that bins the dataset into 10 bins based on the max and min of the observed values. I would like to make a histogram of A & B using my calculated bins but plot the distribution of B on top of A (like a stacked barplot). This is possible since both sets A & B are binned using the same bin ranges.

Hello I need to build a histogram from data (numbers in the [0,1] interval) stored in a number of different files. The total amount of data is very large, so I can't load everything to memory and then simply call hist(). Since what I actually need are the histogram counts, I'm currently doing it like this: breaks <- seq(0, 1, by = 0.01) files <- list.files(pattern = "some

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

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

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

Is the kolmogorov-smirnov test valid on both continuous and discrete data? I don't think so, and the example below helped me understand why. A suggestion on testing the discrete data would be appreciated. Thanks, a <- rnorm(1000, 10, 1);a # normal distribution a b <- rnorm(1000, 12, 1.5);b # normal distribution b c <- rnorm(1000, 8, 1);c # normal distribution c d <- rnorm(1000,

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

Hi I have two lots of numbers which I would like to histogram using the hist() function. For comparative reasons, I want them to be on the same scale, which I can use the xlim and ylim options to achieve. However, having them on the same scale is meaningless unless they have the same "breaks". Consulting the documentation, there are 4 ways of defining the number of breaks, only one

Hello, I have written a function that demonstrates the CLT by generating samples following the exponential distribution, calculating the means, plotting the histogram, and drawing the limiting normal curve as an overlay. I have the title of each histogram state the sample size and rate (1/theta) for the exponential (the output is actually 4 histograms), but I can't get the greek letter theta

Dear R-helpers, I am running well Perl and R on my Debian Linux, and I tried RSPerl. Installation is ok and all simple functions run well. But I have a problem to call the "lines" function. I would like to draw an histogram with the density curve on. Is is OK in R with the command: >x<-rnorm(1000) >hist(x,prob=T) >lines(density(x)) for example. Now, I have a Perl script

Dear all Problem: hist()-function, scale = ?percent? I want to generate histograms for changing underlying data. In order to make them comparable, I want to fix the y-axis (vertical-axis) to, e.g., 0%, 10%, 20%, 30% as well as to fix the spaces, too. So the y-axis in each histogram should be identical. Currently, I have 100 histograms and the y-axis scales changes in each. Here is my code: