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Dplyr verb methods for tidy_dagitty objects

Source: R/dplyr_methods.R
dplyr.Rd

Dplyr verb methods for tidy_dagitty objects.

Usage

# S3 method for tidy_dagitty
select(.data, ...)

# S3 method for tidy_dagitty
filter(.data, ...)

# S3 method for tidy_dagitty
mutate(.data, ...)

# S3 method for tidy_dagitty
summarise(.data, ...)

# S3 method for tidy_dagitty
distinct(.data, ..., .keep_all = FALSE)

# S3 method for tidy_dagitty
arrange(.data, ...)

# S3 method for tidy_dagitty
group_by(.data, ...)

# S3 method for tidy_dagitty
ungroup(x, ...)

# S3 method for tidy_dagitty
transmute(.data, ...)

# S3 method for tidy_dagitty
distinct(.data, ..., .keep_all = FALSE)

# S3 method for tidy_dagitty
full_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...)

# S3 method for tidy_dagitty
inner_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...)

# S3 method for tidy_dagitty
left_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...)

# S3 method for tidy_dagitty
right_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...)

# S3 method for tidy_dagitty
anti_join(x, y, by = NULL, copy = FALSE, ...)

# S3 method for tidy_dagitty
semi_join(x, y, by = NULL, copy = FALSE, ...)

# S3 method for tidy_dagitty
slice(.data, ..., .dots = list())

# S3 method for tidy_dagitty
select_(.data, ..., .dots = list())

# S3 method for tidy_dagitty
filter_(.data, ..., .dots = list())

# S3 method for tidy_dagitty
mutate_(.data, ..., .dots = list())

# S3 method for tidy_dagitty
summarise_(.data, ..., .dots = list())

# S3 method for tidy_dagitty
arrange_(.data, ..., .dots = list())

# S3 method for tidy_dagitty
slice_(.data, ..., .dots = list())

Arguments

.data

data object of class tidy_dagitty

...

other arguments passed to the dplyr function

.dots, x, y, by, copy, suffix, .keep_all

see corresponding function in package dplyr

Examples

library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
tidy_dagitty(m_bias()) %>%
  group_by(name) %>%
  summarize(n = n())
#> # A tibble: 5 × 2
#>   name      n
#>   <chr> <int>
#> 1 a         2
#> 2 b         2
#> 3 m         1
#> 4 x         1
#> 5 y         1