rub_table_metrics | R Documentation |
Get formatted flextable of metrics
rub_table_metrics(df)
df |
Data frame |
Formatted flextable
# Path to skeleton files path_skeleton <- fs::path_package( package = "RUBer", "rmarkdown", "templates", "datenreport-2022", "skeleton" ) # Read csv file df_metrics <- read.csv( fs::path( path_skeleton, "metrics_overview.csv" ), encoding = "UTF-8" ) # Extract vectors from data frame, construct full file paths metrics_text <- df_metrics[["metrics_text"]] metrics_images <- as.character( fs::path( path_skeleton, df_metrics[["metrics_images"]] ) ) # For presentation purposes, the data is split into six columns df_metrics_table <- tibble::tribble( ~col1, ~col2, ~col3, ~col4, ~col5, ~col6, metrics_images[1], metrics_text[1], metrics_text[1], metrics_text[1], NA_character_, NA_character_, metrics_text[2], metrics_text[2], metrics_text[2], metrics_text[2], metrics_text[2], metrics_images[2], metrics_images[3], metrics_text[3], metrics_text[3], metrics_text[3], NA_character_, NA_character_, NA_character_, NA_character_, metrics_text[4], metrics_text[4], metrics_text[4], metrics_images[4], metrics_images[5], metrics_text[5], metrics_text[5], metrics_text[5], metrics_text[5], NA_character_, NA_character_, metrics_text[6], metrics_text[6], metrics_text[6], metrics_text[6], metrics_images[6] ) # Function call rub_table_metrics( df_metrics_table )
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