Nothing
## ----setup_data, message=FALSE------------------------------------------------
library(adaptest)
data(simpleArray)
set.seed(1234)
Y <- simulated_array
A <- simulated_treatment
## ----adaptest_eval, message=FALSE---------------------------------------------
adaptest_out <- adaptest(Y = Y,
A = A,
W = NULL,
n_top = 35,
n_fold = 5,
learning_library = c("SL.glm", "SL.mean"),
parameter_wrapper = adaptest::rank_DE,
absolute = FALSE,
negative = FALSE)
## ----adaptest_summary, message=FALSE------------------------------------------
summary(adaptest_out)
## ----get_comp_small-----------------------------------------------------------
get_composition(object = adaptest_out, type = "small")
## ----get_comp_big, eval=FALSE-------------------------------------------------
# # NOT RUN
# get_composition(object = adaptest_out, type = "big")
## ----plot---------------------------------------------------------------------
plot(adaptest_out)
## ----sum_exp, message=FALSE---------------------------------------------------
library(SummarizedExperiment)
library(airway)
data(airway)
## ----augment_se---------------------------------------------------------------
genes_sub <- order(sample(seq_len(1000)))
air_reduced <- airway[genes_sub, ]
## ----augment_airway-----------------------------------------------------------
simple_air <- cbind(air_reduced, air_reduced)
## ----make_tx_var--------------------------------------------------------------
# use a binary treatment variable (must be 0/1 only)
dex_var = as.numeric(as.matrix(colData(simple_air))[, 3] - 1)
## ----bioadaptest--------------------------------------------------------------
airway_out <- bioadaptest(data_in = simple_air,
var_int = dex_var,
cntrl_set = NULL,
n_top = 5,
n_fold = 2,
parameter_wrapper = rank_DE)
## ----session_info, echo=FALSE-------------------------------------------------
sessionInfo()
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