Print slices per group of a dataframe — view

Wrapper around

Returns subsetted data invisibly.

Usage

view_slice(
  data,
  group,
  select = NULL,
  n_print = 1000,
  n_slice = 1,
  seed = NULL,
  sample_within_group = FALSE,
  sample = FALSE,
  prop_sample = NULL,
  return = FALSE
)

Arguments

data: dataframe. Contains data to print.
group: character. Name of column to group by before subsetting.
select: character vector. Name(s) of columns to select before printing.
n_print: numeric. Number of slices to print per group.
n_slice: numeric. Number of slices to select per group.
seed: numeric. If not NULL, then seed is set to this value. Default is NULL.
sample_within_group: logical. If TRUE and sampling is selected, then sampling is performed within each group. Otherwise sampling is performed across the whole table. Default is FALSE.
sample: logical. If TRUE, then rows are sampled. Unless prop_sample is specified, then n_slice rows are sampled.
prop_sample: numeric. If not NULL, then proportion of rows to sample. Overrides n_slice. Default is NULL.
return: logical. If TRUE, then the subsetted table is returned. Otherwise, invisible(TRUE) is returned. Default is FALSE.

Examples

data("cars")
cars[, "grp"] <- rep(letters[1:5], each = 10)
view_slice(cars, group = "grp", n_slice = 2)
#> # A tibble: 10 × 3
#> # Groups:   grp [5]
#>    speed  dist grp  
#>    <dbl> <dbl> <chr>
#>  1     4     2 a    
#>  2     4    10 a    
#>  3    11    28 b    
#>  4    12    14 b    
#>  5    14    36 c    
#>  6    14    60 c    
#>  7    17    50 d    
#>  8    18    42 d    
#>  9    20    52 e    
#> 10    20    56 e