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Plotting and storing a 3D network in R

September 12, 2016by leospinaf

A simple toy example of a three layered network: Note 1: In order to view the 3D plots, mac users will need Xquartz  installed (https://www.xquartz.org/).         A more complex […]

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Networks

Quantifying dispersion under varying instrument precision

July 3, 2016by leospinaf

Experimental errors are common at the moment of generating new data. Often this type of errors are simply due to the inability of the instrument to make precise measurements. In addition, different […]

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Everyday statistics, Stat chats

Network hubs

January 11, 2016by leospinaf

Some times real networks contain few nodes that are connected to a large portion of the nodes in the network. These nodes, often called ‘hubs’ (or global hubs), can change […]

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Everyday statistics, Networks

How does a signal travel through a protein?

October 12, 2015by leospinaf 1 Comment

Mentioned here: Proteins,  network dynamics, random walks. This blogpost makes part of Stat Chats (Stat Chats). Stat Chats only aims to give ideas that could be used to solve problems in […]

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Networks, Stat chats

Ways to compare networks

June 24, 2015by leospinaf 1 Comment

Nowadays network comparison is becoming increasingly relevant. Why is this?  Mainly because it is a desirable way to compare complex systems that can often be represented as networks. Network comparison aims […]

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Everyday statistics, Networks

Group activity and social bonding

February 9, 2015by leospinaf

Mentioned here: Biased results, recorded variable types and linear models (the effect of a set of variables onto a response variable). This blogpost makes part of Stat Chats (Stat Chats). ———————————————————————- Here […]

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Stat chats

The origins of exponential random graph models

February 3, 2015by leospinaf 1 Comment

The article An Exponential Family of Probability Distributions for Directed Graphs, published by Holland and Leinhardt (1981), set the foundation for the now known exponential random graph models (ERGM) or p* models, […]

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Networks

How many bins?

November 24, 2013by leospinaf 1 Comment

As it’s known in non-parametric kernel density estimation the effect of the bandwidth on the estimated density is big.  Often this is the parameter which balance the bias and roughness of the […]

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Everyday statistics

We were right!

November 9, 2013by leospinaf

Take a look at this BBC review: Not doing the bed, is actually good

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Life

Wilcoxon-Mann-Whitney test and a small sample size

October 30, 2013by leospinaf

The Wilcoxon Mann Whitney test (two samples), is a non-parametric test used to compare if the distributions of two populations are shifted , i.e. say where k is the shift […]

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Everyday statistics

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