The goal of tidylife is to allow analysis of demographic data using tidy tools.
You can install the development version of tidylife from GitHub with:
# install.packages("devtools")
devtools::install_github("robjhyndman/tidylife")This is a basic example which shows you how to solve a common problem:
library(tidylife)demography::fr.mort %>% as_tsibble()
#> # A tsibble: 63,603 x 7 [1Y]
#> # Key: AgeGroup, Age, Group [333]
#> Year AgeGroup Age Group Mortality Exposure Deaths
#> <dbl> <chr> <dbl> <chr> <dbl> <dbl> <dbl>
#> 1 1816 0 0 female 0.187 408224. 76332.
#> 2 1817 0 0 female 0.182 416591. 75706.
#> 3 1818 0 0 female 0.186 406352. 75465.
#> 4 1819 0 0 female 0.197 414025. 81477.
#> 5 1820 0 0 female 0.181 442196. 80000.
#> 6 1821 0 0 female 0.182 438347. 79709.
#> 7 1822 0 0 female 0.207 418536. 86756.
#> 8 1823 0 0 female 0.192 418807. 80469.
#> 9 1824 0 0 female 0.199 423222. 84023.
#> 10 1825 0 0 female 0.194 448137. 87104.
#> # … with 63,593 more rows