R Dataset / Package datasets / JohnsonJohnson
Attachment  Size 

dataset35863.csv  1 KB 
Documentation 

On this Picostat.com statistics page, you will find information about the JohnsonJohnson data set which pertains to Quarterly Earnings per Johnson & Johnson Share. The JohnsonJohnson data set is found in the datasets R package. You can load the JohnsonJohnson data set in R by issuing the following command at the console data("JohnsonJohnson"). This will load the data into a variable called JohnsonJohnson. If R says the JohnsonJohnson data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the JohnsonJohnson R data set. The size of this file is about 1,027 bytes. Quarterly Earnings per Johnson & Johnson ShareDescriptionQuarterly earnings (dollars) per Johnson & Johnson share 1960–80. UsageJohnsonJohnson FormatA quarterly time series SourceShumway, R. H. and Stoffer, D. S. (2000) Time Series Analysis and its Applications. Second Edition. Springer. Example 1.1. Examplesrequire(stats); require(graphics) JJ < log10(JohnsonJohnson) plot(JJ) ## This example gives a possiblenonconvergence warning on some ## platforms, but does seem to converge on x86 Linux and Windows. (fit < StructTS(JJ, type = "BSM")) tsdiag(fit) sm < tsSmooth(fit) plot(cbind(JJ, sm[, 1], sm[, 3]0.5), plot.type = "single", col = c("black", "green", "blue")) abline(h = 0.5, col = "grey60")monthplot(fit)  Dataset imported from https://www.rproject.org. 
Picostat Manual 

How To Register With a Username
How To Register With Google Single Sign On (SSO)
How To Login With a Username and Password
How To Login With Google Single Sign On (SSO)
How To Import a Dataset
How To Perform Statistical Analysis with Picostat
How To Use Educational Applications with Picostat

R Output  Date 

Picostat Output  Boxplot  Jun 27, 2020 
Picostat Output  Boxplot  Jun 27, 2020 
Picostat Output  Boxplot  Jun 27, 2020 
Picostat Output  Numerical Summaries  Apr 29, 2020 
Title  Authored on  Content type 

OpenIntro Statistics Dataset  gpa_study_hours  August 9, 2020  12:25 PM  Dataset 
R Dataset / Package MASS / petrol  March 9, 2018  1:06 PM  Dataset 
R Dataset / Package HistData / Snow.streets  March 9, 2018  1:06 PM  Dataset 
R Dataset / Package datasets / WWWusage  March 9, 2018  1:06 PM  Dataset 
R Dataset / Package DAAG / dewpoint  March 9, 2018  1:06 PM  Dataset 