A histogram is a graphical representation of the frequencies of a continuous variable. The variable is divided into bins and a bar is drawn for each bin, proportional to its frequency in the data.

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Does this look like a Cauchy distribution?

This is my data there is more actually... but I just want to know if this looks like a Cauchy distribution, such as these: I'm asking about just that bump... here is the whole distribution , ...
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29 views

Choosing a line/plane to separate two classes of binned data

In high energy physics I know it is common task to find the best separation point between two classes of data, usually signal and noise. This separation point is usually determined by first binning ...
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14 views

Create a histogram with mean and stddev [closed]

I have such a set of data to create a histogram in frontend. ...
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12 views

Calculating the mutual information between two histograms

I've been set a sample exercise by my supervisor, and I'm totally lost as to where I should be heading. What I've been tasked with is to generate two histograms that approximate Gaussian PDFs. Then, ...
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28 views

Accounting for measurement bias using a histogram or violin plot and numerical data in R

The Problem I have a gardener whose job it is to measure trees in meters using a measuring stick. She measures the heights of 1,000 trees. I plot these measurements on a violin plot in R. I am ...
3
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3answers
137 views

How to test if my distribution is multimodal?

When I plot a histogram of my data, it has two peaks: Does that mean a potential multi-modal distribution? I ran the dip.test in R (...
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17 views

ggplot or qplot histogram in R [migrated]

I know this is pretty much a basic question, but I have some trouble in drawing histograms from a single vector containing these numbers (dat): ...
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51 views

Where is the maximum bias and variance in a histogram as non-parametric density estimator?

I am a little bit confused about bias and variance of non-parametric density estimators and hope you can help me. Assuming a constant bandwidth and sample size, I am wondering at which points of the ...
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54 views

How to present multiple distributions with R?

I have a stochastic simulation on NetLogo in which my agents accumulate "wealth". Of course, every run gives me different outputs but with pretty much the same distribution. I use histograms to keep ...
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1answer
26 views

HOG blocks: adding histograms or concatenating histograms?

In Histogram of Oriented Gradients, the edge orientations within rectangular patches are binned into the bins of a histogram. Each pixel adds the strength of its orientation in the bin corresponding ...
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38 views

comparing probability histogram

I have two probability histogram samples. I know there are methods(i.e KS test etc) out there to compare histograms but I am trying to compare through simple sum of absolute difference between these ...
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19 views

Histogram of noncentral chi-square variable shoots up when the number of histogram cells increases

Consider the random variable defined by: $$y=-8x+108$$ where $x$ follow a non-central chi-square distribution with 1 degree of freedom and a non-centrality parameter equal to 3.5, $x \sim ...
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2answers
23 views

Revealing structure of clusters in a dataset

I have obtained values for the same parameter in various locations and I want to cluster them (abundance fraction of different minerals in a hyper-spectral image). These fractions have spatial ...
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2answers
240 views

If my histogram shows a bell-shaped curve, can I say my data is normally distributed?

I created a histogram for Respondent Age and managed to get a very nice bell-shaped curve, from which I concluded that the distribution is normal. Then I ran the normality test in SPSS, with n = 169. ...
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111 views

How to describe a bin in a histogram?

What is common in the literature to refer to a certain bin in a histogram? For example, say I have a histogram with 4 bins. The first bin has all values between 1 to 2, second bin 2 to 3, and so on. ...
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159 views
0
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38 views

Chi-squared two sample test for unbinned discrete data

I am wandering through the net but I cannot get a precise description of how to solve this simple task. Two sets of datas ...
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1answer
32 views

Evaluate overlap of two histograms which are normalized to area 1

I have two normalized histograms which are normalized to area 1. They have different bin widths and forms. They only thing which they have in common is their area which is 1. Can someone explain me ...
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1answer
43 views

Comparing sets of noisy discontinuous curves / histograms

I have a dataset composed of measurements of signal intensity along a line; visually they look roughly like the right half of this: Each sample is a discontinuous "curve" composed of roughly 600 ...
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21 views

Kullback-Leibler Divergence of 2 histograms: Bin width issue?

I am calculating the distance of 2 histograms using Kullback-Leibler Divergence (KLD). Of course, the number of bins of 2 histograms are the same. However, I have a question about the bin width of the ...
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1answer
32 views

Ways to test bar charts with few bars to see if they come from the same distribution?

I have survey data with ordinal/categorical data. Most of the time the answers to question are Yes/No. I want to compare the bar charts (normalized) of yes/no from participants who gave a particular ...
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1answer
37 views

(Frequency Histogram) - Bins of equal width [duplicate]

How do I create 5 bins of equal width to plot a frequency histogram of the following sequence of numbers? 0.15 0.54 0.23 0.65 0.36 0.15 0.87 0.65 0.90 0.64 0.74 0.98 0.96 0.74 0.82 0.91 0.19 This ...
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22 views

Difference between two vectors of unequal size

I have a predictive model function mPred and two different input variables matrices of the same size (nxm), iM1 and ...
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151 views

Plotting histogram in R, error on stat=“bin”

I'm trying to plot day against number of migrations as a histogram in R, but I'm coming up with this error message: ...
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3answers
166 views

What is “the shortest half of the data”?

Here is a histogram (realized with JMP) displaying two types of box plot called outlier box plot and quantile box plot. Right below, there are a bunch of explanations of the meaning of the ...
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48 views

histograms/ kernel density estimation for proportion data

I am looking at digital advertising data with the following columns: site_id | impressions_count| clicks_count. I am interested in a histogram of the click through rate (clicks/impressions) across ...
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13 views

Histograms With No Final Interval Upper Limit

If you have the following histogram, how do you calculate the mean if you do not know the upper limit of the final interval: ...
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2answers
246 views

Optimal bin width for two dimensional histogram

There are lots of rules for selecting an optimal bin width in a 1D histogram (see for example) I'm looking for a rule that applies the selection of optimal equal-bin widths on two-dimensional ...
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1answer
150 views

Fitting exponential curve to histogram using R

I am trying to fit a curve to a histogram that looks roughly like exponential decay. Since this is roughly similar to exponential decay, I figured a good model was ...
2
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1answer
234 views

Rank histogram (or Talagrand Diagram) of precipitation data

Given a dataset of lines containing 6 wind forecast values plus 1 observed (actual) value in each like: ...
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684 views

Comparing two histograms

I would like to know what are the common techniques to compare two histograms? I have histogram of two images and I want to see are they similar or not meaning that is there any correlation between ...
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21 views

Methods for 3D histograms comparison

When I wish to compare 2D image histograms I can use methods like Chi-Square and Intersection but what are my options if I wish to compare 3D histograms (e.g, based on R,G,B values)? Thanks.
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297 views

Plotting a Gaussian in Python

I am trying to plot a histogram of my data, and I seem to be a little confused here. I am using matplotlib in Python. Here is the code from their website: ...
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1answer
63 views

How to measure the magnitude of difference between two gaussian distributions? Specifically with rates of DNA mutations

As the title says I want to quantify the difference in the rates of sequence change between genes. When I measure the mutation rates between my subgenomes I can determine a significant but slight ...
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89 views

generate frequency distribution from database

In a MySQL database there's a table with a single numeric value column. I want to plot the distribution of these values as a bar chart/histogram with the following ...
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8 views

Select most different observations

I have a polar chart representing eight dimensional observations as 'rings' around the center. Furthermore, I am limited to Excel for graphing purposes, which means I can only display 255 series at ...
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40 views

10% dip in February for metrics that count?

February usually has 28 days, unlike it's neighbors January and March which have 31. It seems that most countable things will exhibit, on average, a 10% dip in February for the missing 3 days. This ...
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1answer
48 views

Quantifying Change in a Histogram Valued Timeseries

I'm attempting to do binary classification where my raw features are collections of histograms that are recorded in a time series. These histograms are scaled to sum to 1. To be more precise and ...
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1answer
35 views

Which distribution to parametrize price histogram with exponential tail?

I have plotted price histograms which seem to follow and exponential tail very well. However, I would also like to parametrize the initial peak in the low price range. Can suggest what ...
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52 views

How to corretly scale sum of squared residuals of two different sets of data in order to compare them?

I did numerical simulations of two different systems that returned me N=1000 histograms expressed as $\{x,y,y'\}$, where $x$ is the independent variable, $y=P(x)$ is the probability distribution ...
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82 views

2d histogram or 3d histogram?

Is the following plot a 2d histogram or a 3d histogram? On one hand it has 2 dimensions of data, but on the other, the plot itself is 3 dimensional.
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My distribution is normal; Kolmogorov-Smirnov test doesn't agree

I have a problem with the normality of some data I have: I've done a Kolmogorov test which says it isn't normal with p=.0000, I don't understand: the skewness of my distribution =-.497, and the ...
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45 views

BOW prediction of cluster for training data

I am creating a bag of visual words for classification of videos. I am not using SURF descriptors and that is why I couldn't use OpenCV's BOWImgDescriptorExtractor ...
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47 views

Histogram distance metric for extreme values only

I am interested in a histogram comparison method or histogram matching technique that takes into account only the tails of the distribution. Consider the following histograms: Histogram 1: ...
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1answer
1k views

Calculating the variance of the histogram of a grayscale image

I am doing image processing and I want to calculate the variance of a histogram of pixel intensities. The first method I have tried: The images store the pixels values using double precision ...
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2answers
220 views

Normality tests for histograms

I understand that one quick way to test for normality is to create a histogram from my data and see if it "looks bell-curved". Alternatively, I can use some normality test like Pearson's chi-squared. ...
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82 views

Outliers in a bimodal distribution

Somewhat related to this post. However my question is a little specific. I have some data from gene expression quantification from single cells using RNA sequencing. I haven't had a look at it but I ...
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185 views

Appropriate test for detecting a signal in normally distributed noise

I am doing some signal processing and I have a histogram which has a bell shape when there is only noise in the signal. (I have been advised that this is to be expected due to the central limit ...
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107 views

peak detection - points / sigma ratio

I would like to ask you (statistics experts) if the following approach is kosher or a nonsense. Problem My EM based detection algorithm ends up (for some data) with a result that looks like attached ...
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1answer
214 views

histogram normalised to area 1

i have a histogram with the y-axis showing the proportion in percentage. That makes sense to me but now i have read that histograms can be normalized with the result that the area of the rectangles is ...