sp500_1950_2018: Daily observations for the S&P 500
In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
sp500_1950_2018 R Documentation
Daily observations for the S&P 500
Description
Data runs from 1950 to near the end of 2018.
Usage
sp500_1950_2018
Format
A data frame with 17346 observations on the following 7 variables.
- Date
Date of the form "YYYY-MM-DD".
- Open
Opening price.
- High
Highest price of the day.
- Low
Lowest price of the day.
- Close
Closing price of the day.
- Adj.Close
Adjusted price at close after accounting for dividends paid out.
- Volume
Trading volume.
Source
Yahoo! Finance
Examples
data(sp500_1950_2018)
sp500.ten.years <- subset(
sp500_1950_2018,
"2009-01-01" <= as.Date(Date) & as.Date(Date) <= "2018-12-31"
)
d <- diff(sp500.ten.years$Adj.Close)
mean(d > 0)
openintro documentation built on June 22, 2024, 7:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| sp500_1950_2018 | R Documentation |
Daily observations for the S&P 500
Description
Data runs from 1950 to near the end of 2018.
Usage
sp500_1950_2018
Format
A data frame with 17346 observations on the following 7 variables.
- Date
Date of the form
"YYYY-MM-DD".- Open
Opening price.
- High
Highest price of the day.
- Low
Lowest price of the day.
- Close
Closing price of the day.
- Adj.Close
Adjusted price at close after accounting for dividends paid out.
- Volume
Trading volume.
Source
Yahoo! Finance
Examples
data(sp500_1950_2018)
sp500.ten.years <- subset(
sp500_1950_2018,
"2009-01-01" <= as.Date(Date) & as.Date(Date) <= "2018-12-31"
)
d <- diff(sp500.ten.years$Adj.Close)
mean(d > 0)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.