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Statistics and Machine Learning Toolbox™ includes a variety of data sets with different file formats and sizes. These data sets are used in documentation examples to demonstrate software capabilities.
Example Data Sets. MATLAB ® has hundreds of data sets spanning a variety of file formats and sizes. These data sets are used in documentation examples and to demo software capabilities. This topic summarizes useful data sets in a variety of formats, but it is not a comprehensive list.
This MATLAB function draws nboot bootstrap data samples from d, computes statistics on each sample using the function bootfun, and returns the results in bootstat.
I have a data set of about 3,000 field observations. The data collected is divided into 20 variables (real numbers), 30 boolean variables, and 10 or so look up variables and one "answer" variable. We have about 20,000 objects in the field, and i'm trying to produce an "answer" for the 20,000 objects based on the 3,000 observations.
This chapter introduces the concepts of relational and boolean operations and shows how they are applied to arrays. Chapter 6 discusses use of relational and boolean expressions with the if statement to make decisions (branching) in a program.
Data les of various formats (text les, spreadsheets and other le formats) are easily read in MATLAB. Commonly, data les for statistical analysis are in spreadsheets (e.g., of R data frame type with rows corresponding to cases and columns to variables measured).
The tutorial purpose is to teach you how to use the Matlab built-in functions to calculate the statistics for different data sets in different applications; the tutorial is intended for users running a professional version of MATLAB 6.5, Release 13. Topics discussed in this tutorial include: Descriptive statistics. Linear Models.
