fitH0Model {TPP2D} | R Documentation |
Fit H0 model and evaluate fit statistics
fitH0Model(df, maxit = 500, optim_fun = .min_RSS_h0, gr_fun = NULL)
df |
tidy data_frame retrieved after import of a 2D-TPP dataset, potential filtering and addition of a column "nObs" containing the number of observations per protein |
maxit |
maximal number of iterations the optimization should be given, default is set to 500 |
optim_fun |
optimization function that should be used for fitting the H0 model |
gr_fun |
optional gradient function for optim_fun, default is NULL |
data frame with H0 model characteristics for each protein
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 fitH0Model(temp_df)