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Median income calculation from range
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library(tidyverse) | |
income_df <- tibble(income_range = c("0-74", "75-145", "150-325", "325+"), | |
count = c(125, 170, 215, 250)) %>% | |
separate(income_range, | |
into = c("income_min", "income_max"), | |
convert = TRUE) | |
calc_median_income <- function(df) { | |
df %>% | |
arrange(income_min) %>% | |
mutate(cumperc = cumsum(count) / sum(count)) %>% | |
# subset to two rows that are just below cumperc >= 0.5 and above <=0.5 | |
slice((which.min(cumperc < 0.5) - 1):which.max(cumperc > 0.5)) %>% | |
# do a linear interpolation to find the median minimum to maximum income | |
summarise(median_min_income = approx(cumperc, income_min, xout = 0.5)$y, | |
median_max_income = approx(cumperc, income_max, xout = 0.5)$y) | |
} | |
calc_median_income(income_df) | |
#> # A tibble: 1 x 2 | |
#> median_min_income median_max_income | |
#> <dbl> <dbl> | |
#> 1 105. 216. | |
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