computeFstat {TPP2D} | R Documentation

## Compute F statistic from H1 and H0 model characteristics

### Description

Compute F statistic from H1 and H0 model characteristics

### Usage

    computeFstat(h0_df, h1_df)

### Arguments

`h0_df` | data frame with H0 model characteristics for each protein
`h1_df` | data frame with H1 model characteristics for each protein

### Value

data frame with H0 and H1 model characteristics for each protein and respectively computed F statistics

### Examples

    data("simulated_cell_extract_df")
    temp_df <- simulated_cell_extract_df %>%
      filter(clustername %in% paste0("protein", 1:20)) %>%
      group_by(representative) %>%
      mutate(nObs = n()) %>%
      ungroup

    h0_df <- fitH0Model(temp_df)
    h1_df <- fitH1Model(temp_df)

    computeFstat(h0_df, h1_df)

[Package TPP2D version 1.4.1 Index]