realtalk

realtalk makes it easy to use common US price indexes in R.

Loading the data

realtalk is mostly a data package and includes several datasets of common US price indexes, like the CPI-U-RS:

library(realtalk)
cpi_u_rs_annual
#> # A tibble: 46 × 2
#>     year cpi_u_rs
#>    <dbl>    <dbl>
#>  1  1978     104.
#>  2  1979     114.
#>  3  1980     127.
#>  4  1981     139.
#>  5  1982     148.
#>  6  1983     154.
#>  7  1984     160.
#>  8  1985     166.
#>  9  1986     168.
#> 10  1987     174.
#> # ℹ 36 more rows

You can see what datasets are available by loading available_price_indexes:

available_price_indexes
#> # A tibble: 20 × 6
#>    index_name        frequency seasonal min_date max_date package_data_name             
#>    <chr>             <chr>     <chr>    <chr>    <chr>    <chr>                         
#>  1 C-CPI-U           annual    <NA>     2000     2023     c_cpi_u_annual                
#>  2 C-CPI-U           monthly   NSA      Dec 1999 Nov 2024 c_cpi_u_monthly_nsa           
#>  3 C-CPI-U           quarterly NSA      2000q1   2024q3   c_cpi_u_quarterly_nsa         
#>  4 C-CPI-U, extended annual    <NA>     1937     2023     c_cpi_u_extended_annual       
#>  5 C-CPI-U, extended monthly   NSA      Jan 1937 Nov 2024 c_cpi_u_extended_monthly_nsa  
#>  6 C-CPI-U, extended monthly   SA       Jan 1947 Nov 2024 c_cpi_u_extended_monthly_sa   
#>  7 C-CPI-U, extended quarterly NSA      1937q1   2024q3   c_cpi_u_extended_quarterly_nsa
#>  8 C-CPI-U, extended quarterly SA       1947q1   2024q3   c_cpi_u_extended_quarterly_sa 
#>  9 CPI-U             annual    <NA>     1937     2023     cpi_u_annual                  
#> 10 CPI-U             monthly   NSA      Jan 1937 Nov 2024 cpi_u_monthly_nsa             
#> 11 CPI-U             monthly   SA       Jan 1947 Nov 2024 cpi_u_monthly_sa              
#> 12 CPI-U             quarterly NSA      1937q1   2024q3   cpi_u_quarterly_nsa           
#> 13 CPI-U             quarterly SA       1947q1   2024q3   cpi_u_quarterly_sa            
#> 14 CPI-U-RS          annual    <NA>     1978     2023     cpi_u_rs_annual               
#> 15 CPI-U-RS          monthly   NSA      Dec 1977 Dec 2023 cpi_u_rs_monthly_nsa          
#> 16 CPI-U-X1          annual    <NA>     1967     1982     cpi_u_x1_annual               
#> 17 CPI-U-X1          monthly   NSA      Jan 1967 Dec 1982 cpi_u_x1_monthly_nsa          
#> 18 PCE               annual    <NA>     1929     2023     pce_annual                    
#> 19 PCE               monthly   SA       Jan 1959 Oct 2024 pce_monthly_sa                
#> 20 PCE               quarterly SA       1947q1   2024q3   pce_quarterly_sa

The package_data_name column contains the internal name of each dataset:

pce_monthly_sa
#> # A tibble: 790 × 3
#>     year month   pce
#>    <dbl> <dbl> <dbl>
#>  1  1959     1  15.2
#>  2  1959     2  15.2
#>  3  1959     3  15.2
#>  4  1959     4  15.2
#>  5  1959     5  15.2
#>  6  1959     6  15.3
#>  7  1959     7  15.3
#>  8  1959     8  15.3
#>  9  1959     9  15.4
#> 10  1959    10  15.4
#> # ℹ 780 more rows

You can also use get_price_index():

get_price_index("PCE", "monthly", "SA")
#> # A tibble: 790 × 3
#>     year month   pce
#>    <dbl> <dbl> <dbl>
#>  1  1959     1  15.2
#>  2  1959     2  15.2
#>  3  1959     3  15.2
#>  4  1959     4  15.2
#>  5  1959     5  15.2
#>  6  1959     6  15.3
#>  7  1959     7  15.3
#>  8  1959     8  15.3
#>  9  1959     9  15.4
#> 10  1959    10  15.4
#> # ℹ 780 more rows

Installation

install.packages('realtalk', repos = c('https://economic.r-universe.dev'))