You are working with the penguins dataset. You want to use the summarize() and mean() functions to find the mean value for the variable body_mass_g. You write the following code: penguins > drop_na () 8> group_by (species) %>8 Add the code chunk that lets you find the mean value for the variable body_mass_g. 1 1 Run Reset What is the mean body mass in g for the Adelie species? 5092.437 3706.164 4207.433 3733.088

Respuesta :

group by(island, year) penguins

body mass g, na.rm = TRUE, mean(mean body mass g = mean(body mass g, TRUE))

library(palmerpenguins)

data.frame df (penguins)

Complete.cases(df), df - # Remove NA rows

mean(df[df$species=="Adelie",6])\smean(df[df$species=="Chinstrap",6])\smean(df[df$species=="Gentoo",6])\smean(df[,6])

Penguin dataset: What is it?

It is a dataset made up of measurements taken from three different species of penguins: Adelie, Gentoo, and Chinstrap. similar to Iris data, which included measurements for three distinct Iris flower species. For what they are constructed of, both are excellent.

What classification method will be applied to the penguin dataset?

Using the well-known Palmer Penguins dataset, this research examines the supervised learning classification techniques LDA (Linear Discriminant Analysis), QDA (Quadratic Discriminant Analysis), NB (Naive Bayes), and KNN (K-Nearest Neighbors).

To know more about  penguins visit:-

https://brainly.com/question/9056279

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