Is time of day a categorical or quantitative variable?

Is time of day a categorical or quantitative variable?

The values of a categorical variable are mutually exclusive categories or groups. Categorical data may or may not have some logical order. Quantitative variables….Examples of categorical variables.

Is season a categorical variable?

3 Answers. Depending on what you want to model, hours (and many other attributes like seasons) are actually ordinal cyclic variables. In case of seasons you can consider them to be more or less categorical, and in case of hours you can model them as continuous as well.

What’s the difference between continuous and longitudinal data?

Static vs. longitudinal is a different way of looking at it, but it doesn’t change the underlying type of most of your data. Time is a special case, and continuous can always be converted into categorical (e.g., you might classify age into age groups or weight into low/medium/high, etc.).

When to use continuous time vs categorical time?

Time is a special case that can be either type, depending on the way you want to look at the data. To focus on individual months, treat time as discrete and use bars. To look at trends and the rate of change (and thus, the space in between the data points), use continuous time.

Which is an example of a longitudinal study?

A comparison of strategies for analyzing longitudinal data An Example : Kids’ alcohol use measured at 3 time points, age 14, 15, 16 Everyone has the same number of waves of data (3 waves of data) All waves of data were measured at the same time (all measured on their birthday) Measures across time are probably not independent.

Can a continuous data type be converted to categorical?

Time is a special case, and continuous can always be converted into categorical (e.g., you might classify age into age groups or weight into low/medium/high, etc.). But the underlying data still has a type that is either quantitive or categorical.