The goal of fieldprintr is to complement the Fieldprint Platform of Field to Market.
Installation
You can install the development version of fieldprintr like so:
pak::pkg_install("Field-to-Market/fieldprintr")Example
From the the Fieldprint Platform, users can export a comprehensive data .xlsx file for further analysis. The following example demonstrates a standardized function for importing the CD file and cleaning up column names prior to analysis.
library(fieldprintr)
candyland <- read_ftm_cd_v4(
"data-raw/12-09-2022-1234_Comprehensive_Data_Candyland_Farms.xlsx")
#> New names:
#> • `` -> `...91`
head(candyland)
#> # A tibble: 6 × 422
#> grower_id field_name field_size_ac farm_serial_number tract_number
#> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 432 10 22.8 NA 14634
#> 2 441 5a & 5b 59.9 NA 12254
#> 3 427 Bubblegum 1 & 2 41.6 NA 5582
#> 4 427 Bubblegum 11 43.4 NA 16327
#> 5 427 Bubblegum 13 20.7 NA 16327
#> 6 427 Bubblegum 17N 14.5 NA 16327
#> # ℹ 417 more variables: field_number <chr>, location <chr>, state <chr>,
#> # field_geo_json <chr>, crop_year <chr>, crop <chr>, last_modified_on <dttm>,
#> # metric_version <chr>, adjusted_yield <dbl>, adjusted_yield_units <chr>,
#> # land_use_score_acre_yield_units <dbl>, total_soil_loss_year <dbl>,
#> # soil_conservation_score_ton_acre_year <dbl>,
#> # water_erosion_ton_acre_year <dbl>, wind_erosion_ton_acre_year <dbl>,
#> # total_sci_points <dbl>, soil_carbon <dbl>, …