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Description
Hello,
Despite the claim here that only obiwarp and density are supported for optimizing RT correction and grouping, issue #36 and others suggest that is no longer the case. I am attempting an optimization using 'loess'. I'm optimizing based on a subset of my data and each sample is from a different treatment so I added the following specification: retcorGroupParameters$sampleGroups <- as.integer(c(1, 2, 3)) and resultRetcorGroup <- optimizeRetGroup(xset = optimizedXcmsSetObject, params = retcorGroupParameters, nSlaves = 5, subdir = NULL, plot = TRUE). But I got:
"Error in [[<-.data.frame(*tmp*, new_index, value = 1:3) : replacement has 3 rows, data has 26".
Looking at optimizedXcmsSetObject, it seems fine. Any ideas what could be going on?