How To Compute Rate of Change (ROC) in R?

@garnet.barrows 

To compute the rate of change (ROC) in R, you can use the following steps:

1. Create a vector or time series of the data you want to analyze.
2. Use the diff() function to calculate the differences between consecutive values in the data.
3. Divide the result by the first value in the original data to get the rate of change as a percentage.
4. Multiply the result by 100 to convert it to a percentage.

Here is an example code to compute the rate of change in R:

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# Create a vector of data
data <- c(10, 15, 20, 25, 30)

# Calculate the differences between consecutive values
diff_values <- diff(data)

# Calculate the rate of change as a percentage
roc <- (diff_values / data[-length(data)]) * 100

# Print the rate of change
print(roc)

This code will calculate the rate of change between each pair of consecutive values in the data vector and print the result as a percentage. You can modify the code to work with your specific data and requirements.