Processing for figures
process_data(dat, group = NULL, facet = NULL, lbs = FALSE)Data frame. Pre-filtered data from filter_data following a long format data.
String. 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
Character vector. Faceting variable(s) of the data.
Default: NULL
Logical. TRUE/FALSE; indicate whether to convert the y-axis values from kilograms to pounds. The default units match the default in the unit_label argument - 'metric tons'.
Default: `FALSE`
List of 3 objects:
A data frame of the processed data ready for plotting.
Grouping variable of the data. If NULL, no grouping variable is identified. If not NULL, the function will verify that the data is indexed by this variables, otherwise it will overwrite it to a different, valid indexed variable or NULL.
Faceting variable(s) identifying the variable(s) of the data. If NULL, no faceting variable is identified. Any identified indexed variables found in this function will be added to facet.
Automatically detects potential grouping and faceting data from a dataframe output from filter_data.
{
filtered <- stockplotr::filter_data(
dat = stockplotr:::example_data,
label_name = "fishing_mortality$",
geom = "line",
module = "TIME_SERIES"
)
process_data(dat = filtered)
}
#> [[1]]
#> # A tibble: 322 × 8
#> label estimate estimate_upper estimate_lower model group_var fleet year
#> <chr> <dbl> <dbl> <dbl> <chr> <chr> <chr> <dbl>
#> 1 fishing_m… 0 NA NA 1 North North 1874
#> 2 fishing_m… 0 NA NA 1 South South 1874
#> 3 fishing_m… 0 NA NA 1 North North 1875
#> 4 fishing_m… 0 NA NA 1 South South 1875
#> 5 fishing_m… 0 NA NA 1 North North 1876
#> 6 fishing_m… 3.20e-5 NA NA 1 South South 1876
#> 7 fishing_m… 0 NA NA 1 North North 1877
#> 8 fishing_m… 3.20e-5 NA NA 1 South South 1877
#> 9 fishing_m… 0 NA NA 1 North North 1878
#> 10 fishing_m… 3.20e-5 NA NA 1 South South 1878
#> # ℹ 312 more rows
#>
#> [[2]]
#> [1] "fleet"
#>
#> [[3]]
#> NULL
#>