search for: _continuous_

Hello all, A friend just showed me how ks.test fails to work with pbinom for small "size". Example: x<-rbinom(10000,10,0.5) x2<-rbinom(10000,10,0.5) ks.test(x,pbinom,10,0.5) ks.test(x,pbinom,size = 10, prob= 0.5) ks.test(x,x2) The tests gives significant p values, while the x did come from binom with size = 10 prob = 0.5. What test should I use instead ? Thanks, Tal

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...e behaved better (e.g. normal RVs), the computation of such a convolution is quite fast. (B) Characteristic function: X will be approximated with Y=X+Z, where Z is normal N(0,sigma) with small sigma. Y has a density (which it is impossible to compute directly) but the characteristic function (_continuous_ Fourier transform) cf_Y of Y can easily be computed analytically (without knowing the density of Y) Now let s be a numeric vector. I want to get the density f_Y(s) of Y evaluated along s. The proper way of doing this would be to apply the inverse continuous Fourier transform to the function cf_Y a...

Hi, I have a dataset where the residual variance decreases with on one of the predictors (population size). Currently, the full model looks like this: prior<-list(R=list(V=1e-16, nu=-2),G1=list(V=diag(2), nu=2)) m<-MCMCglmm(response~poly(population size,2)*poly(other predictor,2)+time, random=~us(1+time):population, data=data, prior=prior) Basically, it's a random regression with

Hi, I need to support port ranges in tc filter rules. I know how to formulate the rule but , I am not able to understand how to calculate the mask value for a perticular range so as to segregate the port values that lie within this range . I got the following sample "tc filter add dev eth1 parent 1:1 protocol ip prio 10 u32 match ip sport 0x1ae0 0x1ff0 flowid 1:10 This rule will match all

Hi, We are using open source license of R to analyze data at our organization. The system configuration are as follows: * System configuration: o Operating System - Windows 7 Enterprise SP1, 64 bit (Desktop) o RAM - 8 GB o Processor - i5-6500 @ 3.2 Ghz * R Version: o R Studio 1.0.136 o R 3.4.0 While trying to merge two datasets we received the following resource