dataStockPrice

<p>Monthly adjusted stock price of Apple, IBM and Intel from 1980 into 2017 from finance.yahoo.com.</p>

datasets

Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate.  Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.

David W Gerbing

lessR

Less Code, More Results

dataStockPrice function

<p>A data table in tidy format with three variables: month, Company and Price. The variable month is a date expression expressed as a four digit year, followed by a month, then a day, separated by either dashes. A total of 1308 rows, 436 rows per company.</p>

dataStockPrice: Data: Stock price of Apple, IBM and Intel from 1980 into 2017

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