User’s Guide to ADMB2R: A Set of AD Model Builder Output Routines Compatible with the R Statistics Language

ADMB2R is a collection of AD Model Builder routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 ADMB2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the ADMB2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer ADMB2R to others in the hope that they will find it useful. (PDF contains 30 pages)

User’s Guide to C2R: A Set of C Language Output Routines Compatible with the R Statistics Language

C2R is a collection of C routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 C2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the C2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer C2R to others in the hope that they will find it useful. (PDF contains 27 pages)

User’s Guide to For2R: A Module of Fortran 95 Output Routines Compatible with the R Statistics Language

For2R is a collection of Fortran routines for saving complex data structures into a file that can be read in the R statistics environment with a single command.1 For2R provides both the means to transfer data structures significantly more complex than simple tables, and an archive mechanism to store data for future reference. We developed this software because we write and run computationally intensive numerical models in Fortran, C++, and AD Model Builder. We then analyse results with R. We desired to automate data transfer to speed diagnostics during working-group meetings. We thus developed the For2R interface to write an R data object (of type list) to a plain-text file. The master list can contain any number of matrices, values, dataframes, vectors or lists, all of which can be read into R with a single call to the dget function. This allows easy transfer of structured data from compiled models to R. Having the capacity to transfer model data, metadata, and results has sharply reduced the time spent on diagnostics, and at the same time, our diagnostic capabilities have improved tremendously. The simplicity of this interface and the capabilities of R have enabled us to automate graph and table creation for formal reports. Finally, the persistent storage in files makes it easier to treat model results in analyses or meta-analyses devised months—or even years—later. We offer For2R to others in the hope that they will find it useful. (PDF contains 31 pages)

Telling stories, understanding lives, working toward change

Stories are helping us learn more about the livelihoods of the fishers and farmers with whom we work in eastern India. We are engaged with these communities in processes and activities aimed at improving their lives and promoting changes in government policy and service delivery in aquaculture and fisheries. Stories are told in several languages by women and men who fish and farm, about their lives, their livelihoods and significant changes they have experienced. We also record stories as narrated to us by colleague-informants. The written and spoken word, photographs, drawings and films – all are used to document the stories of people’s lives, sometimes prompted by questions as simple as “What do people talk about in the village?” Through the power of language, stories can be an entry point into livelihoods programming, monitoring and evaluation, conflict transformation and ultimately a way of giving life to a rights-based approach to development. (PDF contains 10 pages).

Guia prático de piscicultura

This disclosure brochure prepared by the IIP Aquaculture Department is an adaptation of the manual "Freshwater fish farming: how to begin" published by FAO in 1979. Written in simple language and provided with numerous diagrams, the text has been set according to conditions and characteristics of Mozambique.

A guide to the fisheries of Ceylon

This bulletin has been written primarily to serve as a handbook to the Indo-Pacific Fisheries Council at its sessions in Colombo during December 1958. It presents an outline of the fishing industry as found in Ceylon today, in non-technical language so that it may also be understood by laymen. The large gaps in our knowledge are brought out in the section on "resources"; the section on "administration" gives an indication of progress made towards solving the problems of the industry, while sections on "fishing methods" and "utilization of catch" will help us to appreciate the handicaps and difficulties of those concerned with the industry. The Government Administration of the fisheries of Ceylon is being assisted to a considerable extent by the generous gifts of machinery and equipment as well as the loan of skilled technical personnel made by other countries through the FAO and the Colombo Plan. The progress made so far has helped to place the industry in a favorable position for further improvements.