.DollarNames.proDAFit {proDA} | R Documentation

## Fluent use of accessor methods

### Description

The 'proDAFit' object overwrites the dollar function to make it easy to call functions to access values inside the object. This has the advantage that it is very easy to discover the relevant methods but nonetheless have an isolated implementation. Unlike the ``@`` operator which directly accesses the underlying implementation, the ``$`` operator only exposes a limited set of functions

- abundances

- hyper_parameters

- feature_parameters

- coefficients

- convergence

- design

- reference_level

- result_names

- coefficient_variance_matrices

- colData

- rowData

### Usage

    ## S3 method for class 'proDAFit'
    .DollarNames(x, pattern = "")

    ## S4 method for signature 'proDAFit'
    x$name

    ## S4 replacement method for signature 'proDAFit'
    x$name <- value

### Arguments

`x` | an object of class 'proDAFit' produced by `proDA()`
`pattern` | the regex pattern that is provided by the IDE
`name` | one of the functions listed above
`value` | Warning: modifying the content of a 'proDAFit' object is not allowed

### Value

whatever the function called `name` returns.

### See Also

accessor_methods for more documentation on the accessor functions.

### Examples

      syn_data <- generate_synthetic_data(n_proteins = 10)
      fit <- proDA(syn_data$Y, design = syn_data$groups)

      # The two styles are identical
      design(fit)
      fit$design

      # More functions
      fit$abundances

[Package proDA version 1.2.0 Index]