Plotting and storing a 3D network in R
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 […]
Take a look at this BBC review: Not doing the bed, is actually good
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 […]