Error: level sets of factors are different?
The length of a vector of yes/no answers has little to do with the number of possible responses (2). Factors keep both pieces of information.
If you only have yes responses in your data set, when converted to factor you would have to tell R that other responses were possible.
I prefer to avoid working with factors until I need them. Use the str function to investigate where factors are being introduced and either use options to keep the data as character or convert it back to character if you can't figure that out.
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Sri krishna Devarayalu Balanagu <balanagudevarayulu at gvkbio.com> wrote:
Why the error is coming? even though the length of outcome.new$compkey
and outcome.new$armkey were exactly same.
Can anyone help?
setwd("D:/AZ")
library("RODBC")
cdb_cnct <-
odbcConnectExcel("AZIF_DC_GVK_NSCLC_MSALL_287papers_02072012_141450_v1_4.xls")
outcomes <- sqlFetch(cdb_cnct, "Outcomes_info")
odbcClose(cdb_cnct)
rm(cdb_cnct)
sink("Dependency checks.log")
outcomes[(outcomes$Comparator != 9999), ] -> outcome
compkey <- paste(outcome$Comparator, outcome$Comparator_Subarm,
sep='_')
armkey <- paste(outcome$Arm_ID, outcome$SubArm_ID, sep='_')
outcome.new <- cbind(outcome, compkey, armkey)
invalid.ids <- outcome.new[outcome.new$compkey == outcome.new$armkey,
c("Assessment_record_ID")]
Error in Ops.factor(outcome.new$compkey, outcome.new$armkey) :
level sets of factors are different
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