Nothing
lookup <- data.frame(
sample_id = c("S1", "S2", "S3", "S4"),
subject_id = c("P1", "P2", "P3", "P4"),
col_a = c("treatment", "treatment", "control", "control"),
col_b = c("low", "medium", "low", "high"),
col_c = c("good", "*", "good", "good")
)
measures_data <- data.frame(
subject_id = c("P1", "P2", "P3", "P4"),
age = c(30, 35, 40, 45),
sex = c("Male", "Male", "Male", "Female"),
var_a = c(1, 2, 3, NA),
var_b = c("a", "a", "b", "b")
)
m <- 250
preffix <- do.call(paste0, replicate(4, sample(LETTERS, m, TRUE), FALSE))
suffix <- do.call(paste0, replicate(3, sample(1:9, m, TRUE), FALSE))
gene_names <- paste0(preffix, suffix)
exp_matrix <- matrix(
round(stats::rnorm(m * 4)+stats::rpois(m*4, 3), 2),
nrow = m,
ncol = 4,
dimnames = list(gene_names, c("P1", "P2", "P3", "P4"))
)
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