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)

Length weight relationship, condition factors and fecundity of Chrysichthys nigrodigitatus and Chrysichthys walkeri in Asejire Lake

Sex ratio and fecundity variations of Chrysichthys nigrodigitatus and Chrysichthys walkeri from Asejire Lake (Nigeria) were examined. The Logarithm transformation of weight (W) against standard length (SL) gave a straight-line graph represented by the following equations: 1) C. nigrodigitatus LogW =-0.66 + 2.13 Log SL; = 0.854; (P < 0.001) n = 209; 2) C. walkeri LogW = -1.23 + 2.63 Log SL; = 0.759; (P < 0.001) n = 237. Males were generally more than females in both species. The ratio of males:females was higher in C. nigrodigitatus (1:0.18) than in C. walkeri (1:0.8). C. walkeri attained sexual maturity at a smaller size of 20.0 g (12.0 cm Standard Length) compared with C. nigrodigitatus maturity size of 45.0 g (14.0 cm Standard Length). Relative fecundity was not dependent on body weight and standard length for C. walkeri but it was significant at P < 0.05 and P < 0.01 respectively for C. nigrodigitatus

Dix ans de mesures de biomasses de zooplancton a la station cotière d'Abidjan: 1969-1979

Graphs of variations of zooplankton biomasses expressed as ash-free dry weight (i.e. organic matter) are presented for the 1969-1979 period. The graph of the average year shows: an enrichment season from mid-July till mid-November in which the biomass is 2.3 times higher than the rest of the year and characterized by a slight decrease of the biomass in late August or early September. The warm season is divided into a period of moderate biomass from November till February, a period of moderate biomass from November till February and a period of steady decline of the biomass till the start of the upwelling at the end of June.

The Kent estuary 1992 surveys. Summary of results

This is the Kent estuary 1992 surveys: Summary of results produced by the National Rivers Authority in 1993. The report summarises routine and baseline water quality surveys carried out on the Kent estuary during 1992. Baseline surveys are designed to respond to regional, national, and European requirements. During 1992 baseline surveys were carried out in June and December. Unfortunately, in June, samples could only be taken from stations 3, 7 and 8. For ease of interpretation the results have been presented in graph form, including the maximum and minimum parameter concentration and the appropriate Environmental Quality Standards (EQS). The parameters measured in this survey were physical parameters (temperature, BOD, dissolved oxygen, Ph, salinity, conductivity); nutrients (ammonia, phosphate, and nitrate); metals (Mercury, Nickel, Arsenic, Cadmium, Chromium, Cooper, Boron, and Zinc) and organic compounds.

Morphometric study and length-weight relationship of Therapon jarbua, Forsskal

The different morphometric characters of Therapon jarbua showed a linear relationship and uniformity in the various biometric measurements whereas the length-weight relationship showed a curvilinear graph. The studies also indicate that there is no significant difference, in the morphometric characters and length-weight relationship between the males and females. Ponderal index values for males and females was found to fluctuate between 1.3 to 1.5 for most of their life times with the peaks and crests appearing at different lengths for males and females.

Studies on length-weight relationship of Gerres filamentosus Cuvier from the estuaries of the southern Karnataka coast

Random samples of Gerres filamentosus Cuvier from the Netravathi-Gurpur, Mulky, Kallayanapura, Mabukala and Kundapura estuaries of the southern Karnataka Coast were collected in the years 2000, 2001 and 2002, and length-weight relationships for each estuary were derived using multiple linear regression technique with one dummy variable. Hence, combined or sex-wise length-weight relationships were obtained after testing for homogeneity and isometric growth condition of fishes for each estuary by t-test. The extent of closeness of length-weight relationships between sexes and among estuaries for different years is explained by a trend line graph. The whole process of multiple linear regression analysis with one dummy variable is a better substitute for the analysis of covariance technique.

Investigation on the species diversity of Pleuronectiformes order in the Iranian coastline water of Persian Gulf

In Iranian Coastline water of Persian Gulf we researched about flat fishes and revision their Scientitic names, Investigated diversity species (Pleuronectiformes) around three provinces such as khouzestan, Bushehr and Hormozgen. The aim focuse on introducting major family and Species Identification for this Purpose 1311 Specimens collected. Then 36 investigation Parameters includes 18 Morphometric, 11 meristic, 7 distribution has been measured in Excel. The descriptive statistic in spss software would be able us to graph dendrograms by Clustering methods, then Design a standerd table and comparised all the datas with it six major family has been found in Iranian Coasline which named: Soleidae, Bothidae Paralichtidae, Cynoglossidae, Psettodidae, Citharidae. Some of the scientific species names such as Pseudorombus arsius, P. annulatus, P. elevatus, P.malayanus, P. triocellatus from Bothidae family Join it to Paralichtidae family and Eurylossa orientalis change It's name from Soleidae family to Brachirus onentalis. Cynoglossus, bilineatus, C.Puncticepts, C.durbaensis, Clachneri, one of the most Important Point that viewed in our samples, founding a new species (C.Sp) Which we couldn't identify it with all the known keys, then sent it to international Scientific references for this porpose. (Family Cynoglossidae); Pseudorombus annulatus, P. elevatus P.arsius, P.malayanus, paralichtodes algoensis, Poecilopstei Javanicus (Family paralichthidae) Arnoglossus aspilos,A.arabicits, Engyprosopon grandisquama, L.pectoralis, Pseudorombus navalensis, Psettina brevirictis (family Bothidae); Psettodes erumei (Family Psettodidae); Citharoides macrolepis (Family Citharidae) in khouzestan Brachirus orientalis, Parachirus marmoratus, solea elongata, Zebrias synapturides (Family Soleidae) Cynoglossus bilineatus, C.puncticeps, C.arel, C.kopsii, C. Capenis (Family cynoglossida); Pseudorombus arsius, P. elevatus, P. malayanus, Poecilopstei javanicus (Family Paralichthidae); Laeops guentheri, Arnoglossus aspilos, Engyprosopon grandisquama (Family Bothidae); Psettodes erumei (Family psettodidae) in Bushehr. Brachirus orientalis, Parachirus marmoratus (Family Soleidae); Cynoglossus arel, C.bilineatus, C.Puncticeps, C. lachheri (Family cynoglossidae); Pseudorombus arisus, P. elevatus, P. malayanus, Poecilopestie j avanicus (Family parlichthidae); Arnoylossus aspilos, A. arabicus, Laeopes guentheri (Family Bothidae); Psettodes erumei (Family Psettodidae); Citharoides macrolepis (Family Citharidae) In Hormozgan. Khozestan has the maximus diversity speices (26 species) and the minimum is Hormozgan (15 Speices). 13 species of five family has never reported inpersian Gulf but we identify them in our studies for the first time. We abserved 29 Species of six family in our studies, comparision between are resualts with other researches shows that this use is the most compelet study in Iranian coastline water of Persian Gulf.