Behavioural research data analysis with R

Towards reproducible research : From data analysis ( in R ) to a

Much scientific research makes use of commonly available ’office’ software. While numerous more fully-featured open-source alternatives exist, the integration of diverse tools and platforms which their use often entails can be challenging. The mp package for Emacs aims to bring together a number of these elements with the goal of simplifying the process of converting an .R file, as used for dat...

Prioritizing Organizational Projects with Fuzzy Data Envelopment Analysis Approach (Case Study of Educational Research Plans)

The right choice of research projects is one of the most important effective ways to increase the productivity of research projects and allocate the resources appropriately. Training and education is one of the most important institutions for educating the students and prosperous people of the country. Due to the limited resources of this organization and, on the other hand, the expansion of sc...

A Critical Analysis of Some Behavioural AsstLmptions Underlying R

Bayesian data analysis using R

Bayesian data analysis includes but is not limited to Bayesian inference (Gelman et al., 2003; Kerman, 2006a). Here, we take Bayesian inference to refer to posterior inference (typically, the simulation of random draws from the posterior distribution) given a fixed model and data. Bayesian data analysis takes Bayesian inference as a starting point but also includes fitting a model to different ...

Capacity utilization in data envelopment analysis with integer data

In the process of production, some of the inputs are fixed and cannot easily be changed, such as work hours of workers and hours of administrative or work, these types of inputs are fixed and others are variables. In this paper, by considering some inputs or outputs which are limited, their amounts must be integrated; this concept for integer data is extended. We show the importance of subject ...