# library(tidyverse)
#
# dat1 <- tibble(myvalue = c(1, 3, 6, 10, 15, 100, 1, 0, 0, 0), mybin = 1:length(myvalue))
#
#
# longtrend <- 2
#
# filter_fun <- function(dat){
# filter(between(dat, start.trend.bin, end.trend.bin))
# }
# dat2 <- dat1 %>%
# mutate(
# end.trend.bin = lag(mybin, n = 1 + longtrend),
# start.trend.bin = lag(mybin)) %>%
# mutate(all.data = list(tibble(myvalue = myvalue, mybin = mybin)),
# filtered.data = purrr::map(all.data, filter_fun))
# group_by(end.trend.bin, start.trend.bin) %>%
# nest() %>%
# mutate(comb.val = list(c(trend.val, lag.trend.val)),
# comb.bin = list(c(trend.bin, lag.trend.bin))) %>%
# drop_na() %>%
# ungroup() %>%
# unnest(cols = c(comb.val, comb.bin)) %>%
# nest_by(mybin) %>%
# mutate(model = list(lm(comb.val ~ comb.bin, data = data))) %>%
# ungroup() %>%
# mutate(
# long_term = map(model, "coefficients"),
# long_term = map_dbl(long_term, pluck, 2)) %>%
# select(mybin, long_term) %>%
# full_join(dat1) %>%
# select(myvalue, mybin, long_term) %>%
# arrange(mybin)
#
#
# long_term <- function(trend.length = 1){
# dat1 %>%
# mutate(trend.val = lag(myvalue, n = trend.length + 1),
# lag.trend.val = lead(trend.val),
# trend.bin = lag(mybin, n = trend.length + 1),
# lag.trend.bin = lead(trend.bin)) %>%
# group_by(mybin) %>%
# mutate(comb.val = list(c(trend.val, lag.trend.val)),
# comb.bin = list(c(trend.bin, lag.trend.bin))) %>%
# drop_na() %>%
# ungroup() %>%
# unnest(cols = c(comb.val, comb.bin)) %>%
# nest_by(mybin) %>%
# mutate(model = list(lm(comb.val ~ comb.bin, data = data))) %>%
# ungroup() %>%
# mutate(
# long_term = map(model, "coefficients"),
# long_term = map_dbl(long_term, pluck, 2)) %>%
# select(mybin, long_term) %>%
# full_join(dat1) %>%
# select(myvalue, mybin, long_term) %>%
# arrange(mybin)
# }
#
# long_term(3)
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