Applied Statistics Using SPSS, STATISTICA, MATLAB and R - download pdf or read online

Applied Statistics Using SPSS, STATISTICA, MATLAB and R - download pdf or read online

By Joaquim P. Marques de Sá

This useful reference offers a entire advent and educational at the major statistical research subject matters, demonstrating their resolution with the most typical software program package deal. meant for somebody desiring to use statistical research to a wide number of technology and enigineering difficulties, the ebook explains and exhibits how you can use SPSS, MATLAB, STATISTICA and R for research corresponding to info description, statistical inference, type and regression, issue research, survival info and directional records. It concisely explains key thoughts and techniques, illustrated by way of functional examples utilizing genuine facts, and encompasses a CD-ROM with software program instruments and knowledge units. Readers examine which software program instruments to use and achieve insights into the comparative services of the first software program programs. significant advancements of the second one version are the inclusion of the R language, a brand new part on bootstrap estimation tools and a far better remedy of tree classifiers in addition to additional examples and exercises.

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Extra info for Applied Statistics Using SPSS, STATISTICA, MATLAB and R

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Both products require minimal time for familiarization and allow the user to easily perform statistical analyses using a spreadsheet-based philosophy for operating with the data. 9, namely the individual options to manage files, to edit the data spreadsheets, to manage graphs, to perform data operations and to apply statistical analysis procedures. Concerning flexibility, both SPSS and STATISTICA provide command language and macro construction facilities. As a matter of fact STATISTICA is close to an “open” product type, since it provides advanced programming facilities such as the use of external code (DLLs) and application programming interfaces (API), as well as the possibility of developing specific routines in a Basic-like programming language.

One must also be very careful when performing goodness of fit tests. A common example of this is the normality assessment of a data distribution. A vast quantity of papers can be found where the authors conclude the normality of data distributions based on very small samples. 6, even with 25-sized samples one would often be wrong when admitting that a data distribution is normal because a statistical test didn’t reject that possibility at a 95% confidence level. More: one would often be accepting the normality of data generated with asymmetrical and even bimodal distributions!

Mat in that directory. In a later session the user can retrieve the matrix variable meteo by simply using the load command: » load Meteodata. mat file as can be confirmed by displaying its contents with: » meteo. 4 R Data Entry The tabular form of data in R is called data frame. A data frame is an aggregate of column vectors, corresponding to the variables related across the same objects (cases). In addition it has a unique set of row names. One can create an R data frame from a text file (direct data entry from an EXCEL file is not available).

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