The R Commander: A Basic-Statistics Graphical User Interface to R

Unlike S-PLUS, R does not incorporate a statistical graphical user interface (GUI), but it does include tools for building GUIs. Based on the tcltk package (which furnishes an interface to the Tcl/Tk GUI toolkit), the Rcmdr package provides a basic-statistics graphical user interface to R called the "R Commander." The design objectives of the R Commander were as follows: to support, through an easy-to-use, extensible, cross-platform GUI, the statistical functionality required for a basic-statistics course (though its current functionality has grown to include support for linear and generalized-linear models, and other more advanced features); to make it relatively difficult to do unreasonable things; and to render visible the relationship between choices made in the GUI and the R commands that they generate. The R Commander uses a simple and familiar menu/dialog-box interface. Top-level menus include File, Edit, Data, Statistics, Graphs, Models, Distributions, Tools, and Help, with the complete menu tree given in the paper. Each dialog box includes a Help button, which leads to a relevant help page. Menu and dialog-box selections generate R commands, which are recorded in a script window and are echoed, along with output, to an output window. The script window also provides the ability to edit, enter, and re-execute commands. Error messages, warnings, and some other information appear in a separate messages window. Data sets in the R Commander are simply R data frames, and can be read from attached packages or imported from files. Although several data frames may reside in memory, only one is "active" at any given time. There may also be an active statistical model (e.g., an R lm or glm ob ject). The purpose of this paper is to introduce and describe the use of the R Commander GUI; to describe the design and development of the R Commander; and to explain how the R Commander GUI can be extended. The second part of the paper (following a brief introduction) can serve as an introductory guide for students who will use the R Commander.

Talk up front:The influence of language matters on international military missions with a particular focus on the cooperation between soldiers and interpreters

Public Summary Talk Up Front The Influence of Language Matters on International Military Missions with a Particular Focus on the Cooperation between Soldiers and Interpreters Andrea van Dijk How do language issues affect military operations, and how in particular do soldiers and interpreters cooperate in mission areas to overcome such issues? This explorative study aims to enhance the understanding of the effects of the language barrier on international military cooperation. For that purpose, a predominantly sociological approach is adopted to investigate the dynamics at both the macro/meso-, and the micro-level of this specific form of interaction. The findings extensively demonstrate that language issues influence cooperation between international military personnel as well as collaboration with the local population. With regard to the latter, the linguistic and cultural skills of interpreters are crucial as they enable these agents to act as intermediaries between soldiers and local actors. Since modern military interventions typically encompass the deployment of servicemen among the population in conflict-harassed societies, effective cooperation between soldiers and interpreters is pivotal for the conduct of operations. Therefore, this research particularly focuses on this aspect of language matters in international military missions. Talk Up Front concludes that despite their vital role and position, smooth cooperation between soldiers and interpreters is not a matter of course. Efficient cooperative relationships typically do not emerge as a consequence of the military organization’s standard procedures, but have shown to strongly depend on individual traits. Particularly those soldiers and interpreters who can bridge the language gap and establish a constructive cooperation are instrumental to achieve mission success. These findings are based on, among others, 70 interviews with military personnel, national as well as local interpreters, and field work in Afghanistan. Ultimately, the study recommends that it is time for military organizations to acknowledge the presented insights and start learning for future operations

Proceedings of the 11th European Agent Systems Summer School Student Session

This volume contains the papers presented at the Student Session of the 11th European Agent Systems Summer School (EASSS) held on 2nd of September 2009 at Educatorio della Providenza, Turin, Italy. The Student Session, organised by students, is designed to encourage student interaction and feedback from the tutors. By providing the students with a conference-like setup, both in the presentation and in the review process, students have the opportunity to prepare their own submission, go through the selection process and present their work to each other and their interests to their fellow students as well as internationally leading experts in the agent field, both from the theoretical and the practical sector. Table of Contents: Andrew Koster, Jordi Sabater Mir and Marco Schorlemmer, Towards an inductive algorithm for learning trust alignment . . . 5; Angel Rolando Medellin, Katie Atkinson and Peter McBurney, A Preliminary Proposal for Model Checking Command Dialogues. . . 12; Declan Mungovan, Enda Howley and Jim Duggan, Norm Convergence in Populations of Dynamically Interacting Agents . . . 19; Akın Günay, Argumentation on Bayesian Networks for Distributed Decision Making . . 25; Michael Burkhardt, Marco Luetzenberger and Nils Masuch, Towards Toolipse 2: Tool Support for the JIAC V Agent Framework . . . 30; Joseph El Gemayel, The Tenacity of Social Actors . . . 33; Cristian Gratie, The Impact of Routing on Traffic Congestion . . . 36; Andrei-Horia Mogos and Monica Cristina Voinescu, A Rule-Based Psychologist Agent for Improving the Performances of a Sportsman . . . 39; --Autonomer Agent,Agent,Künstliche Intelligenz

Myanmar's armed forces and the Rohingya crisis

"In the wake of the 2016 and 2017 “area clearance operations” against the Rohingya minority in Myanmar’s Rakhine State, this report explores the structure, training, and ethos of the Myanmar armed forces to clarify the implications and challenges of, as well as the prospects for, a solution and an accounting for past events. Drawing on an in-depth review of the literature, extensive field experience, and interviews, the report is produced by the Asia Center at the United States Institute of Peace (USIP) as part of its effort to inform policy and strategies on managing violent conflict"

Analysis of existing decision support systems to provide current baseline applications, implementation methodologies, problem areas, hardware and communication complexities

Issued as Monthly report and Final report, Project no. G-36-66

Facilitation: A Sociological Analysis of a Team Building Workshop

Working Paper Serie

The R Commander: A Basic-Statistics Graphical User Interface to R

Unlike S-PLUS, R does not incorporate a statistical graphical user interface (GUI), but it does include tools for building GUIs. Based on the tcltk package (which furnishes an interface to the Tcl/Tk GUI toolkit), the Rcmdr package provides a basic-statistics graphical user interface to R called the "R Commander." The design objectives of the R Commander were as follows: to support, through an easy-to-use, extensible, cross-platform GUI, the statistical functionality required for a basic-statistics course (though its current functionality has grown to include support for linear and generalized-linear models, and other more advanced features); to make it relatively difficult to do unreasonable things; and to render visible the relationship between choices made in the GUI and the R commands that they generate. The R Commander uses a simple and familiar menu/dialog-box interface. Top-level menus include File, Edit, Data, Statistics, Graphs, Models, Distributions, Tools, and Help, with the complete menu tree given in the paper. Each dialog box includes a Help button, which leads to a relevant help page. Menu and dialog-box selections generate R commands, which are recorded in a script window and are echoed, along with output, to an output window. The script window also provides the ability to edit, enter, and re-execute commands. Error messages, warnings, and some other information appear in a separate messages window. Data sets in the R Commander are simply R data frames, and can be read from attached packages or imported from files. Although several data frames may reside in memory, only one is "active" at any given time. There may also be an active statistical model (e.g., an R lm or glm ob ject). The purpose of this paper is to introduce and describe the use of the R Commander GUI; to describe the design and development of the R Commander; and to explain how the R Commander GUI can be extended. The second part of the paper (following a brief introduction) can serve as an introductory guide for students who will use the R Commander

First CLIPS Conference Proceedings, volume 2

The topics of volume 2 of First CLIPS Conference are associated with following applications: quality control; intelligent data bases and networks; Space Station Freedom; Space Shuttle and satellite; user interface; artificial neural systems and fuzzy logic; parallel and distributed processing; enchancements to CLIPS; aerospace; simulation and defense; advisory systems and tutors; and intelligent control