tidies: A Grammar of Data Manipulation for Quantitative Proteomics
In lgatto/tidies: A Grammar of Data Manipulation for Omics Experiments

Description Usage Arguments Details Author(s) See Also

The 'tidyms' package implements tidy principles as defined in the tidyverse packages to omics-type data classes, with (currently at least), an emphasis on quantitative proteomics data.

## S3 method for class 'eSet'
arrange(.data, ...)

## S3 method for class 'eSet'
filter(.data, ...)

## S3 method for class 'eSet'
group_by(.data, ..., add = FALSE)

## S3 method for class 'eSet'
select(.data, ...)

## S3 method for class 'Grouped_eSet'
summarise(.data, ...)

## S3 method for class 'eSet'
as_tibble(x, ..., fcols = fvarLabels(x))

`.data`	An object of class MSnbase::MSnSet.
`...`	Expressions evaluated in the context of the object's feature and sample variable and passed to the `dplyr` functions. Ignored in `as_tibble,MSnSet`.
`add`	As in the original 'dplyr::group_by'function, when ‘add = FALSE’, the default, 'group_by()' will override existing groups. To add to the existing groups, use 'add = TRUE'.
`x`	An object of class `MSnSet`.
`fcols`	Feature variables to be added. Default is to add all (i.e. `fvarLabels(x)`). Use `NULL` to add none.