library(tidyverse)
## ── Attaching packages ──────────────────────────────────── tidyverse 1.2.1 ──
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## ✔ tibble 2.1.3 ✔ dplyr 0.8.3
## ✔ tidyr 1.0.0 ✔ stringr 1.4.0
## ✔ readr 1.3.1 ✔ forcats 0.4.0
## ── Conflicts ─────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
In class we imported the survey data using the read.table()
function. (Note: on Homework 1 you’ll be asked to use the read.csv()
function instead.)
This is the code we used:
survey <- read.table("http://www.andrew.cmu.edu/user/achoulde/94842/data/survey_data2020.csv", header=TRUE, sep=",")
sum(survey[["Program"]] == "MISM" | survey[["Program"]] == "Other")
## [1] 19
100 * sum(survey[["Program"]] == "PPM") / nrow(survey)
## [1] 66.66667
survey$OperatingSystem
## [1] Windows Mac OS X Windows Windows Windows Mac OS X
## [7] Mac OS X Mac OS X Windows Windows Windows Linux/Unix
## [13] Mac OS X Windows Windows Windows Windows Windows
## [19] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [25] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [31] Windows Windows Windows Mac OS X Mac OS X Windows
## [37] Mac OS X Windows Windows Windows Mac OS X Windows
## [43] Windows Windows Mac OS X Windows Mac OS X Windows
## [49] Linux/Unix Mac OS X Windows Windows Windows Windows
## [55] Windows Windows Mac OS X
## Levels: Linux/Unix Mac OS X Windows
survey[, "OperatingSystem"]
## [1] Windows Mac OS X Windows Windows Windows Mac OS X
## [7] Mac OS X Mac OS X Windows Windows Windows Linux/Unix
## [13] Mac OS X Windows Windows Windows Windows Windows
## [19] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [25] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [31] Windows Windows Windows Mac OS X Mac OS X Windows
## [37] Mac OS X Windows Windows Windows Mac OS X Windows
## [43] Windows Windows Mac OS X Windows Mac OS X Windows
## [49] Linux/Unix Mac OS X Windows Windows Windows Windows
## [55] Windows Windows Mac OS X
## Levels: Linux/Unix Mac OS X Windows
survey[, 4]
## [1] Windows Mac OS X Windows Windows Windows Mac OS X
## [7] Mac OS X Mac OS X Windows Windows Windows Linux/Unix
## [13] Mac OS X Windows Windows Windows Windows Windows
## [19] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [25] Mac OS X Windows Windows Mac OS X Mac OS X Windows
## [31] Windows Windows Windows Mac OS X Mac OS X Windows
## [37] Mac OS X Windows Windows Windows Mac OS X Windows
## [43] Windows Windows Mac OS X Windows Mac OS X Windows
## [49] Linux/Unix Mac OS X Windows Windows Windows Windows
## [55] Windows Windows Mac OS X
## Levels: Linux/Unix Mac OS X Windows
select()
function.select(survey, OperatingSystem)
## OperatingSystem
## 1 Windows
## 2 Mac OS X
## 3 Windows
## 4 Windows
## 5 Windows
## 6 Mac OS X
## 7 Mac OS X
## 8 Mac OS X
## 9 Windows
## 10 Windows
## 11 Windows
## 12 Linux/Unix
## 13 Mac OS X
## 14 Windows
## 15 Windows
## 16 Windows
## 17 Windows
## 18 Windows
## 19 Mac OS X
## 20 Windows
## 21 Windows
## 22 Mac OS X
## 23 Mac OS X
## 24 Windows
## 25 Mac OS X
## 26 Windows
## 27 Windows
## 28 Mac OS X
## 29 Mac OS X
## 30 Windows
## 31 Windows
## 32 Windows
## 33 Windows
## 34 Mac OS X
## 35 Mac OS X
## 36 Windows
## 37 Mac OS X
## 38 Windows
## 39 Windows
## 40 Windows
## 41 Mac OS X
## 42 Windows
## 43 Windows
## 44 Windows
## 45 Mac OS X
## 46 Windows
## 47 Mac OS X
## 48 Windows
## 49 Linux/Unix
## 50 Mac OS X
## 51 Windows
## 52 Windows
## 53 Windows
## 54 Windows
## 55 Windows
## 56 Windows
## 57 Mac OS X
filter()
and select()
together to get the Program
and Rexperience
of every student who watched at least 10 hours of TV last week.survey %>%
filter(TVhours >= 10) %>%
select(Program, Rexperience)
## Program Rexperience
## 1 PPM Never used
## 2 PPM Never used
## 3 PPM Installed on machine
## 4 PPM Never used
## 5 PPM Basic competence
## 6 PPM Basic competence
## 7 PPM Never used
## 8 MISM Experienced
## 9 Other Basic competence
## 10 PPM Basic competence
## 11 PPM Never used
## 12 Other Never used
## 13 PPM Basic competence
## 14 Other Basic competence
## 15 PPM Basic competence
## 16 PPM Installed on machine
## 17 PPM Basic competence
## 18 PPM Installed on machine
## 19 Other Never used
Try re-running as much of the lecture code as you have time for, taking time to understand what is happening in each line of code. You can enter the code directly into the Console. (Optional: you may enter your code in the code chunk below.)
Tip: Instead of copying and pasting code, practice typing it yourself. This will help you to learn the syntax.
# Edit me (optional)