Question

R-Code; Assess the frequencies between two factor variables

Answer 1

To assess the frequencies between two factor variables in R, you can use the table() function. This function creates a contingency table which displays the count of observations for each combination of factor levels.

Step-by-step explanation:

To assess the frequencies between two factor variables in R, you can use the table() function. This function creates a contingency table which displays the count of observations for each combination of factor levels. Here is an example:

table(factor1, factor2)

This will give you a table showing the frequencies between the two factor variables. You can also use the prop.table() function to calculate the proportions instead of the counts.

Answer 2

To assess the frequencies between two factor variables by ID variables in R, you can use the table() function. Assuming "factor_var1" and "factor_var2" are the two factor variables, and "ID_var" is the ID variable, the code would be:

table(ID_var, factor_var1, factor_var2)

Step-by-step explanation:

To assess frequencies between two factor variables by ID variables in R, you can employ the table() function. This function allows you to create a contingency table, which displays the frequency counts of combinations of levels between the specified factor variables for each unique ID. In the code provided, "ID_var" represents the ID variable, while "factor_var1" and "factor_var2" represent the two factor variables of interest.

The table() function will generate a matrix where rows correspond to unique IDs, columns correspond to levels of "factor_var1," and the array within each cell represents the frequency count of the corresponding combination of levels for "factor_var1" and "factor_var2." This provides a comprehensive overview of the distribution of factor variable combinations across ID categories.

For example, if you have IDs 1, 2, and 3, and factor variables "A" and "B," the resulting table might look like:

factor_var1_level1 factor_var1_level2

ID_var factor_var2_level1 factor_var2_level2

1 5 2

2 3 8

3 1 4

This matrix indicates how many occurrences of each combination exist for the specified factor variables at each unique ID.

Complete Question is:

R-Code; Assess the frequencies between two factor variables by ID variables.