Has two scientific goals: 1) to learn how to summarize data and 2) to help you gain a better sense of the terrestrial weather variables that impact the behavior and physiology of animals. As we pursue these goals, we will add to our knowledge of RStudio, specifically improving how to make figures that look more professional (sources -Chapter 3 of R for Data Science and ggplot book, https://ggplot2-book.org/index.html) and how to manipulate data frames so we can make the visualizations that are needed (material in chapter 5 of R for Data Science). This homework requires one figure with a legend (caption) in Part 1 and 2 figures with legends for Part 2. Manhattan Community College Data Manipulation Worksheet Essay Uploading your R code with the document containing the figures is often helpful. Below are more details about the assignment.
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Part 1. This first part is to give you experience with the dplyr options to filter rows, arrange rows, select columns, create a new column with mutate and summarize subsets of the data frame. The book chapter 5 and the code I have uploaded with the homework give examples to try. The requirement here is to use the group_by() statement to group data by day, week or month, calculate the mean of one variable and one at least one other statistical variable such as mode, median, max, min, standard deviation and standard error then plot the data. If you want to use standard deviation or standard error look at examples using geom_error to make the figures. In addition to including a legend, compare you compare the figure you have make to a standard boxplot and comment about which you prefer and why.
Manhattan Community College Data Manipulation Worksheet Essay