compute_sampled_ple_stats: Compute the table for the sampled PLE statistics.
In sbpiper: Data Analysis Functions for 'SBpipe' Package

Description Usage Arguments Value Examples

Compute the table for the sampled PLE statistics.

1 2	compute_sampled_ple_stats(df, min_objval, cl66_objval, cl95_objval, cl99_objval, logspace = TRUE)

`df`	the complete data frame
`min_objval`	the minimum objective value
`cl66_objval`	the 66% confidence level objective value
`cl95_objval`	the 95% confidence level objective value
`cl99_objval`	the 99% confidence level objective value
`logspace`	true if parameters are plotted in logspace (default: TRUE)

the list of parameter values with their confidence intervals

data(insulin_receptor_all_fits)
colnames(insulin_receptor_all_fits)[1] <- "ObjVal"
min_objval <- min(insulin_receptor_all_fits[,1])
# compute the stats for parameter k2. 
insulin_receptor_all_fits <- subset(insulin_receptor_all_fits, select=c(1,3))
compute_sampled_ple_stats(df=insulin_receptor_all_fits, 
                          min_objval=min_objval, 
                          cl66_objval=min_objval+0.01, 
                          cl95_objval=min_objval+0.02, 
                          cl99_objval=min_objval+0.03, 
                          logspace=FALSE)