almonds_bowl

5000 chocolate-covered almonds selected from a large batch, weighed in grams.

datasets

Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.

Albert Y Kim

moderndive

Tidyverse-Friendly Introductory Linear Regression

Albert Y. Kim

Chester Ismay

Andrew Bray

Delaney Moran

Evgeni Chasnovski

Will Hopper

Benjamin S. Baumer

Marium Tapal

Wayne Ndlovu

Catherine Peppers

Annah Mutaya

Anushree Goswami

Ziyue Yang

Clara Li

Caroline McKenna

Catherine Park

Abbie Benfield

Georgia Gans

Kacey Jean-Jacques

Swaha Bhattacharya

Vivian Almaraz

Elle Jo Whalen

Jacqueline Chen

Michelle Flesaker

Irene Foster

Aushanae Haller

Benjamin Bruncati

Quinn White

Tianshu Zhang

Katelyn Diaz

Rose Porta

Renee Wu

Arris Moise

Kate Phan

Grace Hartley

Silas Weden

Emma Vejcik

Nikki Schuldt

Tess Goldmann

Hongtong Lin

Alejandra Munoz

Elina Gordon-Halpern

Haley Schmidt

almonds_bowl function

A data frame with 5000 observations on the following 2 variables<dl>
<dt>ID</dt>
<dd>Identification value for a given chocolate-covered almond</dd><dt>weight</dt>
<dd>Weight of the chocolate-covered almond in grams (to the nearest tenth)</dd>
</dl>

Format

Chocolate-covered almonds data — almonds_bowl

A data frame with 5000 observations on the following 2 variables<dl>
<dt>ID</dt>
<dd>Identification value for a given chocolate-covered almond</dd>

<dt>weight</dt>
<dd>Weight of the chocolate-covered almond in grams (to the nearest tenth)</dd>


</dl>

Chocolate-covered almonds data

almonds_bowl: Chocolate-covered almonds data

Description

Usage

Arguments

Format