computeFstat: Compute F statistic from H1 and H0 model characteristics

In nkurzaw/TPP2D: Detection of ligand-protein interactions from 2D thermal profiles (DLPTP)

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)

nkurzaw/TPP2D documentation built on May 9, 2023, 10:04 a.m.