computeFdr {TPP2D} | R Documentation

## Compute FDR for given F statistics based on true and null dataset

### Description

Compute FDR for given F statistics based on true and null dataset

### Usage

    computeFdr(df_out, df_null)

### Arguments

`df_out` | data frame containing results from analysis by fitAndEvalDataset
`df_null` | data frame containing results from analysis by bootstrapNull

### Value

data frame annotating each protein with a FDR based on it's F statistic and number of observations

### Examples

    data("simulated_cell_extract_df")
    temp_df <- simulated_cell_extract_df %>%
      filter(clustername %in% paste0("protein", 1:5)) %>%
      group_by(representative) %>%
      mutate(nObs = n()) %>%
      ungroup
    example_out <- fitAndEvalDataset(temp_df)
    example_null <- bootstrapNull(temp_df, B = 2/10)
    computeFdr(example_out, example_null)

[Package TPP2D version 1.2.3 Index]