search for: ww_sample_si

...#39;s are no longer meaningful, and 2) when I subset my dataset my 'factor' variables contain all the levels from the complete dataset, how can I reset these factor variables to condense my 'dump' file as much as possible? Many Holiday Cheers from a NEW R user! Keith Sample data: WW_Sample_SI <- structure(list(Individual_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 5L ), .Label = c("WW_08I_01", "WW_08I_02", "WW_08I_03", "WW_08I_04", "WW_08I_05"), class = "factor"), Site_Nam...

...ing two individual measures (e.g. P1 and P2, P2 and P3, etc.) and only if I restructure my table. Any suggestions: In SAS with 'proc corr' I would like results that look like: Individual ID, r, p WW_08I_01,-0.03,0.94 WW_08I_03,0.53,0.14 Trying to get started in R! Keith Sample dataset: WW_Sample_SI <- structure(list(Individual_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("WW_08I_01", "WW_08I_03"), class = "factor"), FeatherPosition = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 1L, 2L, 3L, 4L, 5L, 6L,...