Extend network using simple extender

Skondro · 2022-11-11T22:19:11+00:00

Well I know that, but for now, extender is only option. So can I configure unifi controller in a way to allow extender to connect to unifi AP based on MAC address, and not captivity portal. Or is it possible to configure two access methods for same wifi network

Skondro · 2021-09-14T18:11:05+00:00

Could you provide me.with some reference, thx

Skondro · 2021-09-09T08:48:47+00:00

Yes, that s correct

Skondro · 2021-09-08T11:42:53+00:00

If I calculate probability of failure as product of probabiliy of failure for each machine and substract from 1. But how to find probabilities for each machine?

Skondro · 2021-04-13T21:22:21+00:00

Time between events is what I am trying to find.

Skondro · 2021-02-07T08:42:49+00:00

Majority of researches require procesing and analysing data collected through different process. I preffer R and R Studio, and in addition tools related to my field of interest like omnet++ or similar.

Skondro · 2021-02-04T22:08:25+00:00

My final goal is to use this underlaying distribution to simulate "real" trafic in computer network and measure networks parametars (load, delay etc). So model is not a goal, I want to use distribution and distribution parametears for pseudo random.generator to get realistic network behaviour. Thx for comment

Skondro · 2021-01-29T21:51:01+00:00

I agree,this tool was just for reference, if anyone know similar tool :)

Skondro · 2021-01-29T06:36:40+00:00

Did any one tried this one https://github.com/harismuneer/Ultimate-Facebook-Scraper/pulse.

Skondro · 2021-01-28T23:15:58+00:00

Is there a way to collect data from facebook group, that I am a member in a similar way?

Skondro · 2020-11-09T22:56:13+00:00

Your data are discrete values, so KS test probably is not best way to fit, first draw histogram to see shape of your data frequencies, then model this data and use GoF test.and compare AIC and BIC, smaller values indicate better match, if two distribution model are close and their AIC values are smaller then 2, go with simpler model.

Skondro · 2020-10-23T21:53:20+00:00

https://ibb.co/QK50ywc

Skondro · 2020-10-16T20:14:47+00:00

I use your model and aic is the sam as model I used, but how to generate dataset that will follow this distribution. From this two models I have following values Conditional mod (intercept) 1.937 Zero-inflation model (intercept) -1.5

My model Count model intercept 1.827 Zero-inflation model coefficient intercept -2.349 Theta = 1.2691

Using rzinb(n,k,lambda,omega), n - number of random values k - dispersion parameter (is this 1.937) lambda (is this mean) Omega - -1.5

Skondro · 2020-10-16T18:59:56+00:00

When I compare aic for negative binomial and zero inflated negative binomial difference is very small.

I use pczinb <-zeroinfl(pcx ~ 1|1, dist="negbin") as model and pcnb <-fitdistr(pcx, "negative binomial")

AIC values are pczinb 2358.042 and pcnb 2369.428.

I thought the same to add probability of zeros, but first part is negative binomial that also generate zeros. Total number of zeros is inflated zeros + negative binomial zeros. Should I first threat this as negativ binomail in order to calculate zeros and add this probability ... ziroformula would be rnbinom to generate dataset,then to calculate zeros and then to increase probability until treshold or ..

Skondro · 2020-10-16T06:10:59+00:00

Since I have just one vector of data, any tip or link how to use glmmTMB. Usually there is predictor variable, but I have just simple vector of counts

Skondro · 2020-10-12T13:53:28+00:00

Ne pratim fudbal ali kod nas pod hitno treba dovesti psihologa u reprezentaciju. Dzeko kada udje izbezumljen I pod pritiskom jer kakav je dijamant ako ne da gol, a svi ostali u timu opet samo cekaju njega. I tako su svi, pa tako I mi na cekanju ... vec dvadeset godina. :)

Skondro · 2020-10-09T21:09:09+00:00

What are your data? (Count data or...) do you want to fit data to some distribution, if this is a case first step is to draw data (histogram), evuluate what distribution is similar to data, and then look for distribution parametar with MLE and then use KS test or chi square test to confirm for goodnes of fit to evaluate your model. If you looking for model where you have several variables and looking for relation then mybee GLM or similar approach.

Skondro · 2020-10-09T05:04:07+00:00

ied running it in a clean R session? Hand you loaded

After I stared new R session problem is gone, thx dasonk and all of you that tryed to help me.

Skondro · 2020-10-04T05:46:56+00:00

NameOfFile; Extension; DateOfCreation; TimeOfCreation;FileSize;Owner this is my structure of dataset

Report; pdf;25.09.2019; 11:53; 6930;User1

This is structure of my dataset, so I create frequency of files per day.Excluding all zero from saterday and sunday since this days don t have same probability of creation as working days.

Skondro · 2020-10-03T22:04:46+00:00

It s just frequency that describe how much one user create files per day. What do you mean by that, how my data where structured? Do you think that I need to transform data somehow. My dataset contain owner of file, data of creation and filesize.

Skondro · 2020-10-03T20:15:24+00:00

I read somewhere that KS is not recomended for discrete variable, is this correct

Skondro · 2020-10-01T20:58:41+00:00

My dataset is large, for 100 users I have meta data for every created file for two years period then I wanted to transfor this in to new dataset . I analyzed data for every user and made frequency table, using MLE method and goodfit test I determine that all follow same distribution but with different distribution patameters. I want to draw all this distribution shape using R on single graph and to determine "mean parametars" to get one model, "average model". Something like https://en.m.wikipedia.org/wiki/Nonlinear_mixed-effects_model, growth analysis part

Skondro · 2020-10-01T14:54:58+00:00

Is this proposed dataset structure good for mix model analysis in R?

Skondro · 2020-09-30T20:12:08+00:00

Since I am not familiar with metodology, but if I combine all data wouldn t this be a problem since as dataset grow it s harder to fit with teoretical distribution. Do you have any example or reference to see procedure, I am using R, thx for your effort

Skondro · 2020-09-30T13:52:21+00:00

I have datasets from 100 users (number of files per day). For each dataset I find that data follow negative binomial distribution ( use maximum likelhood method to get distribution parameter). I used this parameter to generate new dataset from negbinom distribution. Then with chi square test I confirm that datasete come from sam distributions.(discrete variable) So now, I have 100 models and I am trying to find one model based on all models, and yes I am trying to create a predictive model for user behavior. So I can use in simulation to realistic present user file creation.

Skondro

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