In the questions below, use R code to answer questions. For any non-coding questions, give your answer as a comment.
Run this code chunk first, to make the survey data available as the variable classData:
library(tidyverse)
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.3 ✔ tidyr 1.3.1
✔ purrr 1.0.2
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
classData<-read_csv("teamAntarcticaData.csv")
Rows: 75 Columns: 12
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (7): Timestamp, school, swim, animals, parkaColor, teamFlag, distance
dbl (5): fishing, cold, remote, bedsideManner, cooking
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Create a subset of classData of students who responded less than 3 on the fishing question, called poorFishing. How many reported less than 3?
Describe logical operators, and how they can be used in the filter function:
How many Lewis & Clark students voted to have the bear as the team flag? Show code below how you would derive your answer:
What is the “pipe” in R? What is it used for?
Determine the mean and standard deviation of self-reported bedside manner, comparing Lewis & Clark to University of Arizona students:
Create a data set showing the percentage of votes for team flag animal, just for Lewis & Clark students: