Nothing
## ----knitrsetup, include = FALSE----------------------------------------------
library(reticulate)
# this vignette requires python 3.7 or newer to run
eval <- tryCatch({
numeric_version(py_config()$version) >= "3.7" && py_numpy_available() &&
py_module_available("scipy") && py_module_available("sklearn")
}, error = function(e) FALSE)
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
eval = eval
)
## ---- eval=TRUE---------------------------------------------------------------
library(CytOpT)
data("HIPC_Stanford")
## -----------------------------------------------------------------------------
knitr::kable(head(HIPC_Stanford_1228_1A))
## -----------------------------------------------------------------------------
gold_standard_manual_prop <- c(table(HIPC_Stanford_1369_1A_labels)/length(HIPC_Stanford_1369_1A_labels))
## -----------------------------------------------------------------------------
set.seed(123)
res <- CytOpT(X_s = HIPC_Stanford_1228_1A, X_t = HIPC_Stanford_1369_1A,
Lab_source = HIPC_Stanford_1228_1A_labels,
theta_true = gold_standard_manual_prop,
method='both', monitoring = TRUE)
## -----------------------------------------------------------------------------
summary(res)
## ---- fig.width = 7, fig.asp = .8, fig.retina=2-------------------------------
plot(res)
## ----BA, fig.width = 7, fig.asp = .6, fig.retina = 2--------------------------
Bland_Altman(res$proportions)
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