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| library(xlsx) | |
| library(forecast) | |
| library(tseries) | |
| library(strucchange) | |
| ## load the data from a CSV or Excel file. This example is done with an Excel sheet. | |
| prod_df <- read.xlsx(file = 'agricultural_productivity.xls', sheetIndex = 'Sheet1', rowIndex = 8:65, colIndex = 2, header = FALSE) | |
| colnames(prod_df) <- c('Rice') | |
| ## store rice data as time series objects | |
| rice <- ts(prod_df$Rice, start=c(1951, 1), end=c(2008, 1), frequency=1) | |
| # store the breakpoints | |
| bp.rice <- breakpoints(rice ~ 1) | |
| summary(bp.rice) | |
| ## the BIC chooses 5 breakpoints; plot the graph with breakdates and their confidence intervals | |
| plot(bp.rice) | |
| plot(rice) | |
| lines(bp.rice) | |
| ## confidence intervals | |
| ci.rice <- confint(bp.rice) | |
| ci.rice | |
| lines(ci.rice) | |
Thanks for sharing!
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Hi..Please can you share your rice data