Processing for tables
process_table(dat, group = NULL, method = "sum", label = NULL, digits = 2)Pre-filtered data from filter_data following a long format data.
A string identifying the indexing variable of the data. To remove any groups and summarize data across all factors, set group = "none". Setting group = NULL will keep any grouping variables identified in the data by the function.
Default: NULL
Options: Including, but not limited to: "year", "area", "fleet", "sex", "none", NULL
A string describing the method of summarizing data when group is set to "none".
Default: "sum"
Options: "sum" or "mean"
A string or vector of strings identifying the label values to filter the data.
Default: NULL
Numeric value indicating the number of rounding digits.
Default: 2
A dataframe of processed data ready for formatting into a table.
Input is an object created with filter_data.
{
filtered <- filter_data(
dat = stockplotr:::example_data,
label = "landings",
geom = "line",
era = "time"
)
process_table(dat = filtered, method = "sum")
}
#> [[1]]
#> [[1]]$label
#> # A tibble: 147 × 3
#> Year landings Uncertainty_landings
#> <dbl> <chr> <dbl>
#> 1 1876 NA NA
#> 2 1877 NA NA
#> 3 1878 NA NA
#> 4 1879 NA NA
#> 5 1880 NA NA
#> 6 1881 NA NA
#> 7 1882 NA NA
#> 8 1883 NA NA
#> 9 1884 NA NA
#> 10 1885 NA NA
#> # ℹ 137 more rows
#>
#>
#> [[2]]
#> named character(0)
#>
#> [[3]]
#> [[3]]$label
#> named list()
#>
#>