using r lag function to analyze time series
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April 10, 2021using r lag function to analyze time series
Import the sp.csv file on Canvas Module. It contains information about the SP500 index for 1426 trading days.
Create a new variable return, defined as the percentage change of a day’s Adjusted Close compared to last trading day’s Adjusted Close. That is, return(t) = 100* (Adj Close(t) – Adj Close(t-1))/Adj Close(t-1).
Calculate the five number summary (Links to an external site.) of the return using the summary() function.
Hint: The easiest way to get the previous trading day’s Adj Close value is using the lag() function in the tidyverse (or dplyr, which is a part of the tidyverse) package. Import the package first before using the lag() function.
To extract a variable that contains space (such as Adj Close) from a data frame, use sp$`Adj Close`).
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