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@garnet.barrows

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

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