R Dataset / Package evir / sp.raw
On this Picostat.com statistics page, you will find information about the sp.raw data set which pertains to SP Data to June 1993. The sp.raw data set is found in the evir R package. Try to load the sp.raw data set in R by issuing the following command at the console data("sp.raw"). This may load the data into a variable called sp.raw. If R says the sp.raw data set is not found, you can try installing the package by issuing this command install.packages("evir") and then attempt to reload the data with library("evir") followed by data("sp.raw"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing sp.raw at the command-line which should display the entire dataset.
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 sp.raw R data set. The size of this file is about 54,111 bytes.
SP Data to June 1993
The daily closing values of the S&P index from
Monday 4th January 1960 until Friday 11th June 1993.
The data are contained in a numeric vector.
The dates of each observation are contained in a
A numeric vector containing 8415 observations, with a
Dataset imported from https://www.r-project.org.
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
|Recent Queries For This Dataset|
No queries made on this dataset yet.
|Title||Authored on||Content type|
|OpenIntro Statistics Dataset - unemploy_pres||August 9, 2020 - 2:38 PM||Dataset|
|OpenIntro Statistics Dataset - house||August 9, 2020 - 12:25 PM||Dataset|
|R Dataset / Package evir / nidd.annual||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package Stat2Data / WeightLossIncentive4||March 9, 2018 - 1:06 PM||Dataset|
|R Dataset / Package HSAUR / clouds||March 9, 2018 - 1:06 PM||Dataset|