Computation of yearwise breakpoints in R

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I have daily rainfall data which I have converted to yearwise cumulative value using following code

library(tidyverse); library(segmented); library(seas); library(strucchange)

## get mscdata from "seas" packages
data(mscdata)
dat <- (mksub(mscdata, id=1108447))

## generate cumulative sum of rain by year
d2 <- dat %>% group_by(year) %>% mutate(rain_cs = cumsum(rain)) %>% ungroup

Then I want to compute of yearwise breakpoints using strucchange. I could able to do it for single year like

y <- subset(d2,year=="1992")$rain_cs
breakpoints(y ~ 1, breaks = 3)$breakpoints

I have used breaks = 3 to have 3 breakpoints. Now how to dynamically apply it year-wise to estimate breakpoints?

tidyverse r breakpoints
1 Answers

You can group_by year and use summarise in dplyr 1.0.0 which can generate multiple rows in summarise :

library(dplyr) 
library(strucchange)

d2 %>%
  group_by(year) %>%
  summarise(breakpoints = breakpoints(rain_cs~1, breaks = 3)$breakpoints)

#   year breakpoints
#   <int>       <dbl>
# 1  1975          73
# 2  1975         237
# 3  1975         301
# 4  1976          83
# 5  1976         166
# 6  1976         297
# 7  1977          98
# 8  1977         239
# 9  1977         311
#10  1978         102
# … with 80 more rows

To get data as 3 columns instead, we can store the output in a list and use unnest_wider.

d2 %>%
  group_by(year) %>%
  summarise(breakpoints = list(breakpoints(rain_cs~1,breaks = 3)$breakpoints)) %>%
  tidyr::unnest_wider(breakpoints) %>%
  tibble::column_to_rownames('year')
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