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Hi all, I had a dataset A like: TIME DV 0 0 1 10 5 20 24 30 36 80 48 60 72 15 I would like to add 24 to those values higher than 24 in the TIME column. I did the following: If (A$TIME>=24) { A$TIME <- A$TIME+24} It did not work. How should I do it? Thanks, -- View this message in context: http://r.789695.n4.nabble.com/help-with-if-statement-tp4650315.html Sent from the

Hi, all, I have a column like the following: ID TIME sub_001 0 sub_001 24 sub_002 0 sub_002 24 sub_003 0 sub_003 24 sub_004 0 sub_005 24 .. .. is there a way for me to just

I have a dataframe such like the following: ID TIME DV 1 0 0.880146038 1 1 0.88669051 1 3 0.610784702 1 5 0.756046666 2 0 0.456263368 2 1 0.369991537 2 3 0.508798346 2 5 0.441037014 3 0 0.854905349 3 1 0.960457553 3 3 0.609434409 3 5 0.655006334 . . . . . . I would like to generate another column with the normalized values of DV. for each ID, normalize to the value at TIME 0. I was able to

Hi all, I have a dataset with one column like below: ID 1001 1001 1001 1122 1122 1122 1421 1421 1789 1789 .. These numbers are no in sequence and they have different repeats. How could replace them with sequenced numbers? Such as follows replacing the ID column with the SID column. ID SID 1001 1001 1001 1001 1001 1001 1122 1002 1122 1002 1122 1002 1421 1003 1421 1003 1789 1004 1789 1004

I have a table like the following: TABLE NO. 1 ID TIME 1325 0 1325 0 . . . . . . TABLE NO. 1 ID TIME 1325 0 1325 0 . . . . . . TABLE NO. 1 ID TIME 1325 0 1325 0 . . . . . . TABLE NO. 1 ID TIME 1325 0 1325 0 . . . . . . I used the following code: sim <- read.table("sim.tab", skip=1, as.is=T,header=T) it did not work, as there're rows with characters in between the data.