This function provides a conversion between the log base 2 robust Mahalanobis
distance value and p-value for output from the rmd_runs function
rmd_conversion(log2rmd = NULL, pval = NULL, df)numeric log base 2 transformed robust Mahalanobis distance value
numeric p-value associated with rmd_runs algorithm
integer value specifying the degrees of freedom associated with the test, which should be equal to the number of metrics used in rmd_runs
The function returns the corresponding p-value or log base 2 robust Mahalanobis when the other parameter is specified.
Only one of log2rmd and pval should be provided. The
input not provided will be solved for based on the provided input.
library(pmartRdata)
mymetab <- edata_transform(
omicsData = metab_object,
data_scale = "log2"
)
mymetab <- group_designation(
omicsData = mymetab,
main_effects = "Phenotype"
)
rmd_results <- rmd_filter(
omicsData = mymetab,
metrics = c("MAD", "Skewness", "Correlation")
)
rmd_conversion(log2rmd = rmd_results$Log2.md, df = 3)
rmd_conversion(pval = .0001, df = 3)
rmd_conversion(log2rmd = 4.5, df = 3)