One method to identify rows that have the same repeated values in all groups can be achieved using the dplyr
package in R. Here is an example:
dplyr
package:library(dplyr)
df <- data.frame(group = c(1, 1, 2, 2),
value = c(2, 2, 3, 3))
This data frame has two columns, "group" and "value", and four rows. The first two rows have group value 1 and value 2, while the last two rows have group value 2 and value 3.
group_by()
and summarise()
functions to group the data by the "value" column and count the number of unique groups that each value appears in:df_summary <- df %>%
group_by(value) %>%
summarise(n_groups = n_distinct(group))
This creates a new data frame, where each row corresponds to a unique value in the original data frame and the "n_groups" column shows how many unique groups that value appears in.
df_summary_filtered <- df_summary %>%
filter(n_groups == n_distinct(df$group))
This creates a new data frame with only the rows that have the same repeated values in all groups.
In this example, the result would be:
value n_groups
1 2 2
2 3 2
Both values 2 and 3 appear in both groups, so they satisfy the condition of having the same repeated values in all groups.
Asked: 2022-03-21 11:00:00 +0000
Seen: 9 times
Last updated: Feb 10 '23