jj: Johnson and Johnson Quarterly Earnings Per Share
In astsa: Applied Statistical Time Series Analysis
jj R Documentation
Johnson and Johnson Quarterly Earnings Per Share
Description
Johnson and Johnson quarterly earnings per share, 84 quarters (21 years) measured from the first quarter of 1960 to the last quarter of 1980.
Format
The format is:
Time-Series [1:84] from 1960 to 1981: 0.71 0.63 0.85 0.44 0.61 0.69 0.92 0.55 0.72 0.77 ...
Details
The data were provided (personal communication) by Professor Paul Griffin, https://gsm.ucdavis.edu/profile/paul-griffin, of the Graduate School of Management, University of California, Davis. This data set is also included with the R distribution as JohnsonJohnson.
References
You can find demonstrations of astsa capabilities at
FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at
https://nickpoison.github.io/.
astsa documentation built on May 29, 2024, 10:29 a.m.
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| jj | R Documentation |
Johnson and Johnson Quarterly Earnings Per Share
Description
Johnson and Johnson quarterly earnings per share, 84 quarters (21 years) measured from the first quarter of 1960 to the last quarter of 1980.
Format
The format is: Time-Series [1:84] from 1960 to 1981: 0.71 0.63 0.85 0.44 0.61 0.69 0.92 0.55 0.72 0.77 ...
Details
The data were provided (personal communication) by Professor Paul Griffin, https://gsm.ucdavis.edu/profile/paul-griffin, of the Graduate School of Management, University of California, Davis. This data set is also included with the R distribution as JohnsonJohnson.
References
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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