plot_sampled_2d_ple: Plot 2D profile likelihood estimations.
In pdp10/sbpiper: Data Analysis Functions for 'SBpipe' Package

Plot 2D profile likelihood estimations.

1 2	plot_sampled_2d_ple(df, parameter1, parameter2, fileout, title = "", logspace = TRUE, scientific_notation = TRUE)

`df`	the data set containing the parameter estimates to plot.
`parameter1`	the name of the first parameter
`parameter2`	the name of the second parameter
`fileout`	the output file
`title`	the plot title (default: "")
`logspace`	true if the parameters should be plotted in logspace (default: TRUE)
`scientific_notation`	true if the axis labels should be plotted in scientific notation (default: TRUE)

dir.create(file.path("pe_plots"))
data(insulin_receptor_all_fits)
colnames(insulin_receptor_all_fits)[1] <- "ObjVal"
insulin_receptor_all_fits[,2:4] <- log10(insulin_receptor_all_fits[,2:4])
fileout <- file.path("pe_plots", "2d_ple_k1_k2.pdf")
plot_sampled_2d_ple(df=insulin_receptor_all_fits, 
                    parameter1="k1", 
                    parameter2="k2", 
                    fileout=fileout)