Write a for loop that calculates the mean bill length for each species in the penguins data set (don’t use group_by()) and saves them as species_means.
library(tidyverse)
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✖ dplyr::filter() masks stats::filter()
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ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(palmerpenguins)penguin_species <-unique(penguins$species)species_means <-NAfor (i in penguin_species) { species_means[i] <- penguins |>filter(species == i) |>summarise(mean_bill_length =mean(bill_length_mm, na.rm =TRUE)) |>pull()}species_means <- species_means[!is.na(species_means)]
Turn #1 into a function called species_mean that lets the user determine which variable to calculate the mean over.