I'm trying to code the extra-trees classifier algorithm proposed here but I'm stuck on the part where i have to select a threshold Ath at random according to a distribution N(µ,σ), where µ and σ are respectively the mean and standard deviation of the pixel values at a position (k,l)....

I get random NaN between my outputs. Random Temp:61.816288952756864 'F Random Temp:NaN 'F Random Temp:NaN 'F Random Temp:63.674960517071916 'F Random Temp:NaN 'F Random Temp:62.581425292320894 'F Random Temp:58.21928355494033 'F Random Temp:60.00714587886456 'F Random Temp:NaN 'F Random Temp:60.62983167247955 'F Random Temp:62.74961457200155 'F Random Temp:58.50731966210792 'F Random Temp:NaN 'F Random Temp:55.20026299393227 'F Here...

Hi I am using proc transreg in a SAS Macro. The code listed as follows, %if &cnt_amt>0 %then %do; ods output boxcox=boxcox; proc transreg data=data0; where &response>0; model BoxCox(&response / lambda=0.05 to 1 by 0.05) = identity(&vars_amt); run; data _null_; set boxcox; if ci='<'; call symput ('lambda',lambda); run; %end; /*...

I am running some goodness of fit tests using scipy.stats in Python 2.7.10. for distrName in distrNameList: distr = getattr(distributions, distrName) param = distr.fit(sample) pdf = distr.pdf(???) What do I pass into distr.pdf() to get the values of the best-fit pdf on the list of sample points of interest, called...

I have a List of items containing x items. I want to distribute these items randomly in other Lists with the conditions : Each List has a maximum size of y item (with y = 4) Each Item must be used a maximum of z times (with z = 5)...

I want to calculate the part-expectation of log-normal distribution via: m = 1; v = 2; mu = log((m^2)/sqrt(v+m^2)); sigma = sqrt(log(v/(m^2)+1)); syms x; d = x*lognpdf(x,mu,sigma); int(d, x, 0, 10); However, MATLAB says: Error using symfun>validateArgNames (line 211) Second input must be a scalar or vector of unique symbolic...

i try to write a program in r "generate a random sample from any distribution using function". but it shows "Error in hist.default(xbars) : 'x' must be numeric" my program is here sim.clt <- function(n, ran.func,..., simsize,...) { xbars<-vector() for(i in 1:simsize=simsize) { x<-function(ran.func) xbars[i]<-mean(x) } par(mfrow=c(2,1)) hist(xbars) qqnorm(xbars) return(xbars)...

If I have to use a Uniform Distribution in a simulation what do you mean by lower bound and the upper bound? For example with Exponential distribution I have to specify the time between two events. And with the uniform distribution?

I am looking to count the number of times the values in an array change in polarity (EDIT: Number of times the values in an array cross zero). Suppose I have an array: [80.6 120.8 -115.6 -76.1 131.3 105.1 138.4 -81.3 -95.3 89.2 -154.1 121.4 -85.1 96.8 68.2] I want...

I would like to have a flotchart that depicts the distribution of all data (x axis represents the values from 0 to 10, y axis for hour only starting from 7am to 7pm). I could not figure out how I should set the configuration of flotchart in this regard. Here...

I am trying to learn some AngularJS creating a "simple" math tool that calculates a distribution. I have an array of numbers and I managed to get the list of unique values with number of occurrences and percentage in an object (the unique number as the key, occurrences, percentage and...

I am trying to fit t-distributions to my data but am unable to do so. My first try was fitdistr(myData, "t") There are 41 warnings, all saying that NaNs are produced. I don't know how, logarithms seem to be involved. So I adjusted my data somewhat so that all data...

I am trying to fit a dynamic mixture model (Weibull for the bulk, Pareto for the tail) using the fdwm() function from the evmix package: library(repmis) library(evmix) data=source_data("https://www.dropbox.com/s/r7i0ctl1czy481d/test.csv?dl=0")[,1] test=fdwm(data,c(0.9150062,75.4699181,quantile(data,0.98),11.21,87.41,0.05)) I am experiencing a weird behavior: the function first returns an error...: Error in integrate(rx, wshape, wscale, cmu = cmu, ctau...

Im trying to generate random integers with logarithmic distribution. I use the following formula: idx = Math.floor(Math.log((Math.random() * Math.pow(2.0, max)) + 1.0) / Math.log(2.0)); This works well and produces sequence like this for 1000 iterations (each number represents how many times that index was generated): [525, 261, 119, 45, 29,...

Here is a screenshot of my dataset: Here's what it's about: Imagine that you work in a delivery company and, for some reason, the package fails to be delivered to the client. The distribution of the number of packages returned changes according to the monetary value of the package, which...

I'll probably want to hit myself over the head for not getting this: How do I generate a vector with the expected height of a normal distribution over Y bins (nbins in the below), of exactly N elements. Like so, in the below picture: Y or nbins = 15 N...

I understand how to generate the random P value from 0 to 1 and also the function which is specified here: http://en.wikipedia.org/wiki/Triangular_distribution But when writing the code (C#) i get stuck in the if statements, not sure how to write them because in my situation the minimum, mode and maximum...

I have N buckets, each with a normalized weight of Wi. I would like to distribute $x to each bucket by its weight. Each bucket has a minimum $ (MINi) and maximum $ (MAXi) that the algorithm needs to fulfill. The min and max of each buckets take priorities over...

I'm trying to write a program to calculate probabilty mass function of a poisson distribution, P(x=n) with parameter lambda, using this formula: ( (e^-lambda)*(lambda^n))/n! This approach works well when I use small lambda and small numbers, but if I want to calculate for example P(x=30) with lambda 20 the result...

the GEV Distribution (http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution) has 3 parameters: μ ∈ R — location, σ > 0 — scale ξ ∈ R — shape However, the C++ 11 library only supports a extreme_value_distribution that only supports 2 parameters: http://www.cplusplus.com/reference/random/extreme_value_distribution/ So this implementation lacks the shape parameter (ξ). Is there a way to...

I'm making a game using pyglet, which runs like a tortoise (~30-35 FPS) unless I pass the -O flag to python when running it (which gives me a smooth 60FPS). I'm planning on using cx_freeze to distribute it, but I need the -O flag to be used every time the...

Following this question : Random distribution of items in list up to a maximum count I have a List of items containing x items. I want to distribute these items randomly in other Lists with the conditions : Each List has a maximum size of y item (with y =...

I'm posting this partially to get a question answered and partially so someone else might find it later and save them the headache. I am trying to create a beta-pert distribution in NetLogo by following the formula here from Epix Analytics I've created an Beta(Alpha1, alpha2) distribution using the transformation...

On Stackoverflow there are many questions about generating uniformly distributed integers from a-priory unknown ranges. E.g. C++11 Generating random numbers from frequently changing range Vary range of uniform_int_distribution The typical solution is something like: inline std::mt19937 &engine() { thread_local std::mt19937 eng; return eng; } int get_int_from_range(int from, int to) {...

I have a list of data points. For the full run of my program, I'll use all of the data points, but for testing of the code, I want to use only a small percentage of them in order that the program run in a short time. I do not...

I have made on Framework for my own code so that no one can edit that code. I have signed the framework properly and i have one app with that framework. But when my client trying to upload their app with my framework and its code signing certificate and provisioning...

I have a data set of n = 1000 realizations of a random variable X and is univariate -- X = {x1, x2,...,xn}. Data is generated by varying a parameter on which the random variable depends. For example, let the r.v be Area of a circle. So, by varying the...

How can I create a vector x in Matlab that has values between 0.8 and 1.2, randomly sampled from a: 1. Uniform 2. Normal distribution? There are a lot of functions dealing with distributions, but I'm having trouble using them properly....

I'm trying to get a fairly even distribution of one set of items into another and am looking for an algorithm that can help. For example, Group A has 42 items and Group B has 16 items. I want to mix both groups together so that B is fairly evenly...

I would like to create a gaussian curve between two values (which is the end point of two different calculations). I am aware that i require a bit more background info, but i wish to play with the result. So let us assume what is not known, the values in...

I am trying to calculate portfolio cVaR (conditional value at risk) levels from my simulated data for various portfolios. I am able to do that for one single portfolio using the following code: % Without a for-loop for series 1 test2 = test(:,1) VaR_Calib_EVT = 100 * quantile(test2, VarLevel_Calib); help1...

The maxwell-boltzmann distribution is given by . The scipy.stats.maxwell distribution uses loc and scale parameters to define this distribution. How are the parameters in the two definitions connected? I also would appreciate if someone could tell in general how to determine the relation between parameters in scipy.stats and their usual...

I have a big list of terms and their frequency loaded from a text file and I converted it to a table: myTbl = read.table("word_count.txt") # read text file colnames(myTbl)<-c("term", "frequency") head(myTbl, n = 10) > head(myTbl, n = 10) term frequency 1 de 35945 2 i 34850 3 \xe3n...

I would like to define my own distributions to use with the fitdistrplus function to fit my monthly precipitation data from now on refered as "month". I am using the “lmomco” function to help me define the distributions, but cannot manage to make it work. For example, I am defining...

I have generated a bunch of data, and want to plot how they are distributed using matplotlib. How should I proceed? Thank you for answers ...

There is a question illustrate below: //--------question start--------------------- Consider the following small corpus consisting of three sentences: The judge struck the gavel to silence the court. Buying the cheap saw is false economy. The nail was driven in when the hammer struck it hard. Use distributional similarity to determine whether...

I have frequency values changing with the time (x axis units), as presented on the picture below. After some normalization these values may be seen as data points of a density function for some distribution. Q: Assuming that these frequency points are from Weibull distribution T, how can I fit...

I am working with image processing in MATLAB. I have two different images whose histogram plots are as shown below. Image 1: and Image 2: I have multiple images like those and the only distinguishing(separating) features is that some have single peak and others have two peaks. In other words...

I have to calculate the probability distribution function of a random variable that is composed of (sum, division, product, exponentiation, etc...) some other simple random variables. It is pretty complex so I am morte then happy to get a numerical solution While thought this was a very standard thing to...

I've searched through a number of similar questions, but unfortunately I haven't been able to find an answer to this problem. I hope someone can point me in the right direction. I need to come up with a PHP function which will produce a random number within a set range...