Weeks 1-5 RStudio Commands

Question 1

To calculate the mean…

Answer 1

mean(sample_data)

Question 2

To calculate the median…

Answer 2

median(sample_data)

Question 3

To calculate the mode…

Answer 3

mode(sample_data)

Question 4

To calculate standard deviation…

Answer 4

sd(sample_data)

Question 5

Undo button

Answer 5

Ctrl + z

Question 6

library(tidyverse)

Answer 6

Gives us useful tools for our analysis

Question 7

cows <-read_csv(“~/penelope22.csv”)

Answer 7

Read spreadsheet called ‘penelope22’ into an object in R called ‘cows’ (basically renames spreadsheet for easy ref. later)

Question 8

View(data)

Answer 8

Presents the data in a window in RStudio

Question 9

What is a data frame?

Answer 9

2-dimmensional array of scores

Multiple columns in data set

Question 10

When using a data frame, how do we specify which column we want to process?

State the code

Answer 10

(data$column)

Question 11

How do we find the mean of a particular column in the data set?

data set name = cows
column name = estimate

Answer 11

mean(cows$estimate)

Question 12

Tells Rstudio that missing data can be ignored…

Answer 12

na.rm = TRUE

Question 13

Sometimes the data set can have missing values from the table.

How do we tell Rstudio to find the mean for a particular column that has missing values?

(data set name = cows)
(column = estimate)

Answer 13

mean(cows$estimate, na.rm = TRUE)

Question 14

To create a histogram…

(data set name =sample_data)

Answer 14

hist(sample_data)

Question 15

To create a histogram distribution for a particular column in the data set…

data set name = cows
column name = estimate

Answer 15

hist(cows$estimate)

Question 16

To create a box plot…

data set name = sample_data

Answer 16

boxplot(sample_data)

Question 17

To create a boxplot for specific columns in data set…

data set name = screentime
column 1 name = usage
column 2 = phone_type

Answer 17

boxplot(screentime$usage ~ screentime$phone_type)