Lab 1: Dr. Arbuthnot’s Baptism Records in R

What is the correct syntax to add lines while plotting data in R?

How can all possible arguments for a function in R be found?

What operation can be used as an argument in the plot function to represent the total number of baptisms each year?

Which arithmetic operation can be used to plot the total number of baptisms in 1629 in R?

In R, what is the purpose of using the 'type' argument when plotting data?

What functionality do the up and down arrow keys provide in RStudio?

What is the correct R command to extract the counts of boys baptized from the 'arbuthnot' dataset?

Which of the following commands would return the number of rows (observations) in the 'arbuthnot' dataset?

Assuming 'arbuthnot' is a data frame, which of the following expressions is NOT a valid way to access the column names?

What does the output '82 3' from the 'dim(arbuthnot)' command represent?

If the 'arbuthnot' dataset contains 82 observations, what is the index of the last entry in the 'arbuthnot$boys' vector?

Which of the following statements about R vectors is incorrect?

Plotting Data in R

Use the lines() function to add lines to a plot.
The plot() function allows for various operations such as summing yearly baptisms via tapply() and aggregate().
To represent total baptisms each year, use the sum operation (sum) as a function argument in plot().
For plotting total baptisms in 1629, use the subset operation (arbuthnot$boys[arbuthnot$year == 1629]).

Function Arguments in R

The args() function can be used to find all possible arguments for a given function in R.

Purpose of the 'type' Argument

The 'type' argument in the plot() function specifies the type of plot (e.g., point, line, or both) that will be displayed.

RStudio Functionalities

Up and down arrow keys in RStudio allow users to navigate through command history for easy access to previously executed commands.

Accessing Data in Datasets

Use arbuthnot$boys to extract the counts of boys baptized from the 'arbuthnot' dataset.
nrow(arbuthnot) command returns the number of rows (observations) in the 'arbuthnot' dataset.
Common expressions to access column names include colnames(arbuthnot) and names(arbuthnot); expressions like arbuthnot[1] are NOT valid.

Dimensions of the Dataset

The output '82 3' from dim(arbuthnot) indicates the dataset has 82 observations (rows) and 3 variables (columns).

Data Indexing in R

If 'arbuthnot' contains 82 observations, the last entry in the 'arbuthnot$boys' vector is indexed at 82.

R Vectors

Key concept: R vectors can store multiple values, but an incorrect statement regarding their properties would not conform to how vectors function (e.g., vectors being able to contain mixed data types).

Learn how to access Dr. Arbuthnot’s baptism records data in R by using the source() function. Explore the dataset that contains 83 observations and 3 variables, focusing on the ratio of girls and boys. Understand how to display all observations with column titles and check the dimensions of the table with dim().