I have a data set with missing data for which I wish to perform
imputations. I'm very new at imputing data, but I've been looking into
transcan() and it seems to have many agreeable attributes, so I tried
it. However, I get the following message:
Fewer than 3 unique knots. Frequency table of variable:
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
25 26
1189 13 4 14 9 7 7 6 2 3 4 7 4 3 3 2 2 1 1 1 1 3 2 3 3 2 3
27 28 29 30 31 34 35 36 37 41 42 43 46 48 49 50 51 52 53 57 58 61 62 63 64
1 2 4 1 2 1 2 1 1 2 1 1 2 3 1 1 1 1 1 1 1 2 1 1 1
65 66 70 72 73 74 75 78 83 88 94 97 99 114 119 180 182 267
1 1 1 3 1 1 1 1 1 1 1 1 2 1 1 1 1 1
All of the data are continuous numeric. I have 21 variables (columns)
and 1356 observations (rows). I believe the NAs to be randomly
distributed, but some variables have many more missing values than others.
How do I interpret what transcan() is telling me?
Kim Elmore
--
Kim Elmore, Ph.D. (PP SEL/MEL/Gllider, N5OP, 2nd Class Radiotelegraph, GROL)
"All weather is divided into three parts: Yes, No and Maybe. The greatest of these
is maybe." -- The original Latin appears to be garbled.
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