2.3 Lab Activity
Researchers at the Vancouver and Okanagan campuses of The University of British Columbia have conducted a survey of child sleep. The results of this survey are found in the file child-sleep-data.csv. The table below provides names and descriptions for each variable in the data set.
| Name | Description |
|---|---|
| id | A randomly generated participant ID, unique to each participant. |
| age | The age of the child in the study. |
| campus | The campus from which the participant was recruited (“Point Grey” or “Okanagan”). |
| sleep_location | Where does the child sleep? 1 = co-sleeps with parent(s); 2 = sleeps in own room; 3 = shares a room but does not cosleep. |
| sleep | The parent’s estimate of the average hours of sleep the child receives in a 24-hour period. |
Download child-sleep-data.csv and then complete the following steps:
2.3.1 Import and Inspect the Data
- Import child-sleep-data.csv into R; assign it a meaningful name.
- Inspect the
data.frameusingstr(),head(), andView().
2.3.2 Convert Categorical Variables to Factors
- Use
as.factor()andfactor()to convert any categorical variables to factors with the appropriate levels and labels.
2.3.3 Subsetting and Logical Expressions
Use [] to subset the data frame and find the answers to following questions/complete the tasks described below. You will also need to use is.na(), max(), min(), mean(), and logical expressions.
- What campus was the 48th participant recruited at?
- Return the data for participants who are missing responses on the sleep variable.
- What proportion of participants are missing data for the sleep variable?
- On average, how many hours do the children in this sample sleep per day?
- What is the average daily sleep of children in each of the three conditions?
- What is the participant ID of the participant(s) who reported the most sleep? The least sleep?