Thank you very much for your kind invitation. Really,I used to use the well known statistical program (software) named STATISTICA V13, it is very powerful tool and include huge statistical facilities e.g. polar and linear assessments in addition it is very simple to use by any researcher, so I'd like to use this opportunity to offer my help in using this tool and ready to present and recommendations in case of facing any negative results. By the way there are tens of such software like Curve expert, Techplot, Grapher, Excel statistical facility, and others.
2. SPSS stood for Statistical Package for the Social Sciences.
3. SmartPLS is a software with graphical user interface for variance-based structural equation modeling.
4. SAS is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
Also there is a strong program R PROGRAM, by the way I was working as a mechanical engineering consultant for water and waste water treatment projects.
Thank you for your interesting advice, in the case of using R, which package/command we use to extract water data from publication? more details, please? Thank you for your consideration.
Obtain water quality information in scientific publications; or
Analyze data obtained from an own research and do it with quality using the appropriate software.
In the first case (1) he has to carry out a documentary research oriented with an intelligent question, so that the information that he obtains is relevant, of quality and of answer to his question. The type of publication to review its content, will be the one that provides information on how to purify water or how to study the quality of water for human use (I suppose). The most appropriate publications for this purpose, are those type Narrative Reviews Based on Scientific Evidence; Systematic Reviews and Meta-analysis. There is ad-hoc software to analyze this type of information and publications; Rev-Man.
In the second case (2), for statistical analysis of data obtained from its publications related to water quality, there are several tools, among others; Epistat, Stata, SPSS, Excel Plus, Matlab.
If I did not understand your question or other needs, please communicate it to continue in this network of discussion and argumentation.
regards
Estimada Fátima Kies
Entiendo su pregunta en dos sentidos:
Obtener información de calidad del agua en publicaciones científicas; o
Analizar datos obtenidos de una investigación propia y hacerlo con calidad utilizando el software adecuado.
En el primer caso (1) tiene que realizar una investigación documental orientada con una pregunta inteligente, a fin de que la información que obtenga sea relevante, de calidad y de respuesta a su interrogante. El tipo de publicación a revisar su contenido, será aquella que le proporcione la información de como se purifica el agua o como se estudia la calidad del agua para uso humano (supongo). Las publicaciones más adecuadas para este fin, son aquellas tipo Revisiones Narrativas con Base en la Evidencia Científica; Revisiones Sistemáticas y Meta-análisis. Existe un software ad-hoc para analizar este tipo de información y publicaciones; Rev-Man.
En el segundo caso (2), para análisis estadístico de datos obtenidos de sus publicaciones relacionadas con la calidad del agua, hay varias herramientas, entre otras; Epistat, Stata, SPSS, Excel Plus, Matlab.
Si no entendí adecuadamente su pregunta o de ser otras sus necesidades, favor de comunicarlo para seguir en esta red de discusión y argumentación.
I appreciate the effort to answer this question. The case of my question, that I mean the 1st one, using extraction of data of Water Quality of the River, Estuary, and Coastal waters,.., ecosystemic viewpoint. Thank you for your consideration.
- Jeffery S.Horsburgh, Stephanie L.Reeder, Amber SpackmanJones and JacobMeline (2015) Open source software for visualization and quality control of continuous hydrologic and water quality sensor data, Environmental Modelling & Software, Volume 70, August 2015, Pages 32-44