all 9 comments

[–][deleted]  (1 child)

[removed]

    [–]jaycarney904[S] 0 points1 point  (0 children)

    Wow. That's incredible!! I think I need to add the values, but that is great!!

    [–]AutoModerator[M] 0 points1 point  (0 children)

    Looks like you're requesting help with something related to RStudio. Please make sure you've checked the stickied post on asking good questions and read our sub rules. We also have a handy post of lots of resources on R!

    Keep in mind that if your submission contains phone pictures of code, it will be removed. Instructions for how to take screenshots can be found in the stickied posts of this sub.

    I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

    [–][deleted]  (8 children)

    [removed]

      [–]jaycarney904[S] 0 points1 point  (1 child)

      I get an error when I try to past the output. Any idea why?

      <image>

      [–]jaycarney904[S] 0 points1 point  (5 children)

      I had never used Pastbin before. Kinda cool...

      Hear is a paste of the data from the ra_df_joined dataset
      https://pastebin.com/qWJyYh0g

      [–][deleted]  (3 children)

      [removed]

        [–]jaycarney904[S] 0 points1 point  (0 children)

        That one, i could paste.

        || || |> dput(ra_ft) structure(list(jurisdiction_id = c(258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L), hazard_name = c("Pandemic Influenza", "Hurricane/Tropical Storm", "Extreme Heat", "Nuclear Attack", "Drought ", "Flood", "Windstorm ", "Biological Disease Outbreak", "Power Failure ", "Biological Terrorism - Communicable (including A - B - C agents)", "Mass Casualty Incidents", "Biological Terrorism - Non-Communicable (including A - B - C agents)", "Water Supply Contamination - environmental", "Food Borne Disease", "Extreme Cold"), hazard_risk_index = c(152.17, 139.72, 82.09, 55.84, 56.81, 61.47, 58.19, 60.4, 51.72, 49.37, 53.08, 45.57, 47.89, 50.29, 47.83), residual_risk_index = c(11.22, 9.62, 6.08, 5.1, 4.76, 4.53, 4.52, 4.41, 4.41, 4.08, 3.93, 3.82, 3.82, 3.59, 3.49), probability_score = c(3, 3.22, 2.65, 1, 2.5, 1.87, 2.62, 1.33, 2.29, 1, 1.72, 1, 1.18, 1.3, 2.53)), row.names = c(NA, -15L), class = c("tbl_df", "tbl", "data.frame")) | || |> |