Build rowSums in dplyr based on columns containing pattern in their names [duplicate]

问题

This question already has answers here:

Sum across multiple columns with dplyr (6 answers)

R, create a new column in a data frame that applies a function of all the columns with similar names (3 answers)

Closed 2 years ago.

My data frame looks something like this

USER OBSERVATION COUNT.1 COUNT.2 COUNT.3
A    1           0       1       1
A    2           1       1       2
A    3           3       0       0

With dplyr I want to build a columns that sums the values of the count-variables for each row, selecting the count-variables based on their name.

USER OBSERVATION COUNT.1 COUNT.2 COUNT.3 SUM
A    1           0       1       1       2
A    2           1       1       2       4
A    3           3       0       0       3

How do I do that?

回答1:

As you asked for a dplyr solution, you can do:

library(dplyr)

df %>% 
  mutate(SUM = rowSums(select(., starts_with("COUNT"))))

  USER OBSERVATION COUNT.1 COUNT.2 COUNT.3 SUM
1    A           1       0       1       1   2
2    A           2       1       1       2   4
3    A           3       3       0       0   3

来源：https://stackoverflow.com/questions/54286505/build-rowsums-in-dplyr-based-on-columns-containing-pattern-in-their-names