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Subset columns in ir objects using column names and types

Source: R/tidyverse.R
select.ir.Rd

Subset columns in ir objects using column names and types

Usage

select.ir(.data, ...)

Source

dplyr::select()

Arguments

.data

An object of class ir.

...

<tidy-select> One or more unquoted expressions separated by commas. Variable names can be used as if they were positions in the data frame, so expressions like x:y can be used to select a range of variables.

Value

.data with the selected columns. If the spectra column is dropped, the ir class is dropped, else the object is of class ir.

See also

Other tidyverse: arrange.ir(), distinct.ir(), extract.ir(), filter-joins, filter.ir(), group_by, mutate, mutate-joins, nest, pivot_longer.ir(), pivot_wider.ir(), rename, rowwise.ir(), separate.ir(), separate_rows.ir(), slice, summarize, unite.ir()

Examples

## select
dplyr::select(ir_sample_data, spectra)
#> # A tibble: 58 × 1
#>    spectra             
#>  * <named list>        
#>  1 <tibble [3,351 × 2]>
#>  2 <tibble [3,351 × 2]>
#>  3 <tibble [3,351 × 2]>
#>  4 <tibble [3,351 × 2]>
#>  5 <tibble [3,351 × 2]>
#>  6 <tibble [3,351 × 2]>
#>  7 <tibble [3,351 × 2]>
#>  8 <tibble [3,351 × 2]>
#>  9 <tibble [3,351 × 2]>
#> 10 <tibble [3,351 × 2]>
#> # ℹ 48 more rows
dplyr::select(ir_sample_data, holocellulose) # drops ir class
#> # A tibble: 58 × 1
#>    holocellulose
#>  *           [1]
#>  1         0.308
#>  2         0.250
#>  3         0.336
#>  4         0.184
#>  5         0.309
#>  6         0.335
#>  7         0.241
#>  8         0.125
#>  9         0.252
#> 10         0.349
#> # ℹ 48 more rows