filterC {baizer}

apply tbflt on dplyr filter

Description

apply tbflt on dplyr filter

Usage

filterC(.data, tbflt = NULL, .by = NULL, usecol = TRUE)

Arguments

.data

tibble

tbflt

tbflt object

.by

group by, same as .by argument in dplyr::filter

usecol

if TRUE (default), use the default behavior of dplyr::filter(), which allows the usage of same variable in colnames, and filter by the data column. If FALSE, will check whether the variables on the right side of ⁠==,>,<,>=,<=⁠ have same names as columns and raise error, for the sake of more predictable results. You can always ignore this argument if you know how to use .env or ⁠!!⁠

Value

tibble

Examples

c1 <- tbflt(cut == "Fair")

c2 <- tbflt(x > 8)

mini_diamond %>%
  filterC(c1) %>%
  head(5)

mini_diamond %>% filterC(c1 & c2)



x <- 8
cond <- tbflt(y > x)

# variable `x` not used because of column `x` in `mini_diamond`
filterC(mini_diamond, cond)

# will raise error because `x`  is on the right side of `>`
# filterC(mini_diamond, cond, usecol=FALSE)

# if you know how to use `.env` or `!!`, forget argument `usecol`!
cond <- tbflt(y > !!x)
filterC(mini_diamond, cond)

cond <- tbflt(y > .env$x)
filterC(mini_diamond, cond)