df = data.frame(x_1 = rnorm(200),
              x_2 = rnorm(200),
              group = c(rep('A',100),rep('B',100)),
              clus = c(rep('a_1',50),rep('a_2',50),rep('b_1',50),rep('b_2',50)))

clusWilcox.test(x_1,paired = TRUE,cluster = "clus",data = df)

temp_test <-
    df %>%
    group_by(group) %>%

    summarise_each(funs(clusWilcox.test(.,paired = TRUE,cluster = "clus")$p.value), vars = c('x_1','x_2'))

Error in clusWilcox.test.default(x_1, paired = FALSE, cluster = "clus") :
  'group' is required for the clustered rank sum test

temp_test <-
        df %>%
        group_by(group) %>%

        summarise_each(funs(clusWilcox.test(.,paired = TRUE,cluster = "clus",data = df)$p.value), vars = c('x_1','x_2'))

> temp_test
# A tibble: 2 x 3
  group vars1 vars2
  <fct> <dbl> <dbl>
1 A     0.168 0.136
2 B     0.168 0.136

temp_test <-
    df %>%
    group_by(group) %>%

    summarise_each(funs(t.test(.)$p.value), vars = c('x_1','x_2'))