2 resultados para random forest data analysis

em DigitalCommons@University of Nebraska - Lincoln


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Most authors struggle to pick a title that adequately conveys all of the material covered in a book. When I first saw Applied Spatial Data Analysis with R, I expected a review of spatial statistical models and their applications in packages (libraries) from the CRAN site of R. The authors’ title is not misleading, but I was very pleasantly surprised by how deep the word “applied” is here. The first half of the book essentially covers how R handles spatial data. To some statisticians this may be boring. Do you want, or need, to know the difference between S3 and S4 classes, how spatial objects in R are organized, and how various methods work on the spatial objects? A few years ago I would have said “no,” especially to the “want” part. Just let me slap my EXCEL spreadsheet into R and run some spatial functions on it. Unfortunately, the world is not so simple, and ultimately we want to minimize effort to get all of our spatial analyses accomplished. The first half of this book certainly convinced me that some extra effort in organizing my data into certain spatial class structures makes the analysis easier and less subject to mistakes. I also admit that I found it very interesting and I learned a lot.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

This paper investigates postgraduate students' perceptions of the Internet as an enabler of scholarship.The specific objectives of the study are: to ascertain the perception held by the postgraduate students on the Internet usage as an enabler of scholarship, and to determine what interventions are necessary to facilitate postgraduate students' adoption of the Internet as a tool for learning and research. The subjects of study are the postgraduate students of the University of Ibadan, Nigeria. A random sample of 100 students was selected with representation from each faculty of the university. A questionnaire instrument with a 12-item scale was designed and administered. Data analysis was done using the chi-square statistical method. The results show that majority of the postgraduate students have positive perceptions of the Internet as an enabler of information sourcing for learning and research. However some of these students have low self-efficacy in Internet use for information sourcing.