Description Usage Arguments Value References Examples
Calls code published by Lee and Kong in Statistics in Biopharmaceutical Research 2012; please cite their work if you use this function.
1 2 | plot_synergy_interaction_index(ds, sample_type, treatment_1, treatment_2, hour,
..., log = "y", alpha = 0.05)
|
ds |
dataset |
sample_type |
sample type in ds |
treatment_1 |
treatment in ds |
treatment_2 |
treatment in ds |
hour |
hour in ds. Default 0. |
... |
additional parameters to pass to plot function |
log |
which scale should be logged; default is "y" |
alpha |
1-alpha is the size of the confidence intervals, default 0.05 |
list ii: estimated interaction indices corresponding to the observations (c.d1, c.d2, E); ii.low, ii.up: estimated lower and upper CI
Lee & Kong Statistics in Biopharmaceutical Research 2012
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | dose_SCH=c(0.1, 0.5, 1, 2, 4)
eff_SCH = c(0.6701, 0.6289, 0.5577, 0.4550, 0.3755)
dose_4HPR = c(0.1, 0.5, 1, 2)
eff_4HPR = c(0.7666, 0.5833, 0.5706, 0.4934)
eff_comb = c(0.6539, 0.4919, 0.3551, 0.2341)
syn = data.frame( treatment_1 = rep("SCH66336", 13),
conc_1 = c( dose_SCH, rep(0, 4), dose_SCH[1:4]),
treatment_2 = rep("4-HPR", 13),
conc_2 = c( rep(0, 5), dose_4HPR, dose_4HPR ),
values = c(eff_SCH, eff_4HPR, eff_comb ),
stringsAsFactors=FALSE )
ds_lk = create_synergy_dataset( sample_types = rep("sample_1", 13),
treatments_1 = syn$treatment_1,
treatments_2 = syn$treatment_2,
concentrations_1 = syn$conc_1,
concentrations_2 = syn$conc_2,
values = syn$values)
ii=plot_synergy_interaction_index(ds=ds_lk, sample_type = "sample_1",
treatment_1 = "SCH66336", treatment_2="4-HPR",
hour=0,
xlab="Effect", ylab="Interaction Index" ,
main="Interaction Index")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.