> Stuck on this problem - How does one remove all rows in a dataframe that have > a numeric in the first (or any) column? > > Seems straight forward - but I'm having trouble. > I've attempted to used: VPN_Sheet1 <- VPN_Sheet1[!is.numeric(VPN_Sheet1$HVA),] and VPN_Sheet1 <- VPN_Sheet1[!is.integer(VPN_Sheet1$HVA),] Neither work - Neither throw an error. class(VPN_Sheet1$HVA) returns: [1] "list" So, the HVA column returns a list. > > Data looks like the attached screen grab - > > The ONLY rows I need to delete are the rows where there is a numeric in the > HVA column. > > There are some 5000+ rows in the actual data. > > Would be grateful for a solution to this problem. How to get R to detect whether the value in column 1 is a number so the rows with the number values can be deleted? > > Thanks in advance to any and all willing to help on this problem. > > Gregg Powell > > Sierra Vista, AZ
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