compute_means_vars {SUMO} | R Documentation |
Compute Summary Statistics for a List of Datasets
Description
Computes overall, row-wise, and column-wise means and standard deviations for each dataset in a list. Also provides average statistics across datasets.
Usage
compute_means_vars(data_list)
Arguments
data_list |
A list of numeric matrices or data frames. Each entry should be a matrix or data frame with numeric values. |
Value
A named list containing:
Overall mean and SD for each dataset.
Average row-wise mean and SD.
Average column-wise mean and SD.
-
mean_smp
: Average row-wise mean across all datasets. -
sd_smp
: Average row-wise SD across all datasets.
Examples
# Example using simulated matrices
set.seed(123)
dataset1 <- matrix(rnorm(100, mean = 5, sd = 2), nrow = 10, ncol = 10)
dataset2 <- matrix(rnorm(100, mean = 10, sd = 3), nrow = 10, ncol = 10)
data_list <- list(dataset1, dataset2)
results <- compute_means_vars(data_list)
print(results)
## Not run:
# Example using real experimental data (requires MOFAdata)
if (requireNamespace("MOFAdata", quietly = TRUE)) {
utils::data("CLL_data", package = "MOFAdata")
CLL_data2 <- CLL_data[c(2, 3)]
results <- compute_means_vars(CLL_data2)
print(results)
}
## End(Not run)
[Package SUMO version 1.2.0 Index]