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