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.
|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:
- Import child-sleep-data.csv into R; assign it a meaningful name.
- Inspect the
factor()to convert any categorical variables to factors with the appropriate levels and labels.
 to subset the data frame and find the answers to following questions/complete the tasks described below. You will also need to use
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?