sum_up

sum_up prints detailed summary statistics (corresponds to Stata summarize)

N <- 100
df <- data_frame(
  id = 1:N,
  v1 = sample(5, N, TRUE),
  v2 = sample(1e6, N, TRUE)
)
sum_up(df)
df %>% sum_up(starts_with("v"), d = TRUE)
df %>% group_by(v1) %>%  sum_up()

tab

tab prints distinct rows with their count. Compared to the dplyr function count, this command just adds Frequency and Cumulative frequency.

N <- 1e2 ; K = 10
df <- data_frame(
  id = sample(5, N, TRUE),
  v1 = sample(5, N, TRUE)
)
tab(df, id, v1)
tab(df, id, v1, na.rm = TRUE)
df %>% group_by(id) %>% tab(v1)

join

join is a wrapper for dplyr merge functionalities, with two added functions