R Test if Specific Groups of Values are in ID Group

Problem Statement

In this problem, we have a dataset with two columns: enrolid and proc1. We want to label the members who have all categories of values. Specifically, we want to label members who have values beginning with 99, values beginning with 77[1-9], and either 77014 or G6 or a value ending with T.

We created a vector of all the values we’re interested in based on the original data using rad %>% select(proc1) %>% filter(str_detect(proc1, '^77[1-9]|^77014|^G6|^99|T$')) and then did this:

vec <- rad %>% select(proc1) %>% filter(str_detect(proc1, '^77[1-9]|^77014|^G6|^99|T$'))
vec1 <- vec %>% distinct(proc1)
rad[, new := +(proc1 %in% vec1$proc1), by = enrolid]

However, we want to know if there’s a way to assign a label of 1 only if the member has all of the required values. In other words, we want to use an “and” condition instead of an “or” condition.

Solution

To achieve this, we can use the all function in R. The all function returns TRUE if all elements of a logical vector are TRUE. If any element is FALSE, it returns FALSE.

Here’s how we can modify our code to use the all function:

rad[, new := all(vec1$proc1 %in% proc1) & proc1 %in% vec1$proc1, by = enrolid]

In this code, we first create a logical vector vec1$proc1 %in% proc1, which is TRUE if the value in proc1 is present in the vec1. We then use the all function to check if all elements of this logical vector are TRUE. If any element is FALSE, it returns FALSE; otherwise, it returns TRUE.

By combining this with the existing condition proc1 %in% vec1$proc1, we ensure that both conditions must be met for a value to be labeled as 1.

Explanation

Let’s break down how this code works:

• vec1$proc1 %in% proc1: This creates a logical vector where each element is TRUE if the corresponding value in proc1 is present in vec1.
• all(vec1$proc1 %in% proc1): This uses the all function to check if all elements of this logical vector are TRUE. If any element is FALSE, it returns FALSE; otherwise, it returns TRUE.
• proc1 %in% vec1$proc1: This creates a logical vector where each element is TRUE if the corresponding value in proc1 is present in vec1.
• The & operator combines these two conditions. The expression will be TRUE only if both conditions are met.

Example Use Case

Here’s an example of how we can use this code:

Suppose we have a dataset with the following values for enrolid and proc1:

We can use the code to label these values as follows:

vec <- rad %>% select(proc1) %>% filter(str_detect(proc1, '^77[1-9]|^77014|^G6|^99|T$'))
vec1 <- vec %>% distinct(proc1)

rad[, new := all(vec1$proc1 %in% proc1) & proc1 %in% vec1$proc1, by = enrolid]

print(rad)

Output:

As we can see, only the values that meet all the conditions (77014 or G6) are labeled as 1.

Conclusion

In this article, we learned how to use R’s all function to test if a specific group of values is present in another vector. We also saw how to apply this to real-world data to label members who have all categories of values. By using the all function and combining it with other logical operations, we can create robust and efficient code for labeling data based on multiple conditions.

Additional Resources

• R Documentation: all
• R Documentation: str_detect
• R Documentation: distinct

Last modified on 2024-09-30