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Book details / order |
25 RECIPES FOR GETTING STARTED WITH R |
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. this short, concise book provides beginners with a selection of how-to recipes to solve simple problems with r. each solution gives you just what you need to know to use r for basic statistics, graphics, and regression.
you'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. these solutions were selected from o'reilly's r cookbook , which contains more than 200 recipes for r that you'll find useful once you move beyond the basics.
chapter 1. the recipes
downloading and installing r
getting help on a function
viewing the supplied documentation
searching the web for help
reading tabular datafiles
reading from csv files
creating a vector
computing basic statistics
initializing a data frame from column data
selecting data frame columns by position
selecting data frame columns by name
forming a confidence interval for a mean
forming a confidence interval for a proportion
comparing the means of two samples
testing a correlation for significance
creating a scatter plot
creating a bar chart
creating a box plot
creating a histogram
performing simple linear regression
performing multiple linear regression
getting regression statistics
diagnosing a linear regression
predicting new values
accessing the functions in a package.
about the author
paul teetor is a quantitative developer with masters degrees in statistics and computer science. he specializes in analytics and software engineering for investment management, securities trading, and risk management. he works with hedge funds, market makers, and portfolio managers in the greater chicago area.
Author : Paul teetor
Publication : Oreilly
Isbn : 9789352133468
Store book number : 105
NRS 240.00
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