Run linear models for all data folds. This is a wrapper to RunIntLim.
RunIntLimAllFolds(
inputData,
stype = "",
outcome = 1,
covar = c(),
continuous = FALSE,
save.covar.pvals = FALSE,
independent.var.type = 1,
remove.duplicates = FALSE,
suppressWarnings = FALSE
)List of IntLimModel objects with model results
IntLimData object (output of ReadData()) with analyte levels and associated meta-data
column name that represents sample type (by default, it will be used in the interaction term). Only 2 categories are currently supported.
'1' or '2' must be set as outcome/independent variable (default is '1')
Additional variables from the phenotypic data that be integrated into linear model
boolean to indicate whether the data is continuous or discrete
boolean to indicate whether or not to save the p-values of all covariates, which can be analyzed later but will also lengthen computation time. The default is FALSE.
'1' or '2' must be set as independent variable (default is '1')
boolean to indicate whether or not to remove the pair with the highest p-value across two duplicate models (e.g. m1~m2 and m2~m1)
whether to suppress warnings