By Johnson T.D.

Show description

Read Online or Download [Article] A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications PDF

Best organization and data processing books

Download e-book for iPad: Sequence Data Analysis Guidebook pt 3 by Simon R. Swindell

This quantity info protocols for utilizing a few renowned, commercially on hand, series applications. The publication enhances the software program developer's manuals, and gives "real-life" examples of the program's utilization. the entire protocols were contributed by means of employees with loads of adventure in utilizing the software program within the learn.

Get What Should be Computed to Understand and Model Brain PDF

A advisor to 2 sorts of transcendence of educational borders essential to the certainty and modeling of mind functionality: Technical transcendence had to make clever machines, and transcendence of cross-disciplinary barriers to include much less technical and extra summary, cognitive facets of mind functionality into modeling.

Extra info for [Article] A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications

Sample text

13). The pioneers of exploratory data analysis came up with several recipes to describe such smooth relationships without making many parametric assumptions or being unduly influenced by outliers. One of these recipes, robust locally weighted regression, is incorporated in R as lowess: book February 27, 2006 51 700 EXPLORATORY DATA ANALYSIS AND GRAPHICS 400 300 100 200 Depth 500 600 lowess spline (default) spline (df=4) regression quad. 13 Lines through data: earthquake depth vs. longitude in eastern cluster book February 27, 2006 52 CHAPTER 2 it essentially does linear or quadratic regression on local subsets of the data to produce a smooth curve.

If you later save data sets or functions in R’s own format (using save() to save and load() to load them), you will be able to exchange them freely across platforms. Many people have their data in Excel spreadsheets. csv (comma-separated values) file. If your data are in some more exotic form (within a GIS or database system), you’ll have to figure out how to extract them from that particular system into a text file. There are ways of making more direct connections between R and databases/GIS systems, but they’re beyond the scope of this book.

Avail) I’ll actually use a variant of barplot(), barplot2() (from the gplots package) to plot these values with standard errors (I find it mildly embarrassing that R does not supply error-bar plotting as a built-in function, but you can use the barplot2() (gplots package) and plotCI() (gplots or plotrix package) functions. u) limits. Another alternative would be a box plot or box-and-whisker plot, which would actually usually be preferable to a barplot since it displays more information (median, interquartile ranges, and outliers) and because the information it shows (median rather than mean, IQR rather than standard deviation) is more robust to peculiarities in distributions.

Download PDF sample

[Article] A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications by Johnson T.D.


by Charles
4.4

Rated 4.56 of 5 – based on 45 votes