Sorry if this post should be long but I tried to give you a piece of my data
to reproduce my error message using hetcor:
Fehler in result$rho : $ operator is invalid for atomic vectors
Zus?tzlich: Warning messages:
1: In polychor(x, y, ML = ML, std.err = std.err) :
1 row with zero marginal removed
2: In polychor(x, y, ML = ML, std.err = std.err) :
the table has fewer than 2 rows
Error in result$rho : $ operator is invalid for atomic vectors
Additional: Warning message:
1: In polychor(x, y, ML = ML, std.err = std.err) :
1 row with zero marginal removed
2: In polychor(x, y, ML = ML, std.err = std.err) :
the table has fewer than 2 rows
Use tab delimited data at the end of the post.
Copy in Texteditor and save as TestPart.txt
Then use the following code
library(methods)
setClass("of")
setAs("character", "of", function(from) as.ordered(from))
Classe81<-cclasses <- c(rep("factor", 64),
rep("numeric",6), rep ("of",
12))
TestPart<-read.table("TestPart.txt", header=TRUE,row.names=1,
na.strings="NA" ,colClasses = Classe81)
str(TestPart)
library(polycor)
TestPart.hetcor<-hetcor(TestPart, use="complete.obs")
this will produce the above mentioned error message that I can not
interprete.
Would be great if somebody could help me to solve the problem.
Thanks
B.
1 2 3 4 7 8 9 10 12 13 14 15 16 17 18 19 21 22 23 25 27 28 29 30 31 33 34
35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 58 59 60
61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
AX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 25 5 9 1 8.5 2.5 3 5 2 2 3 3 1 1 1 2 1 2
BX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA
0 0 0 1 0 NA NA NA NA NA NA NA 0 0 0 0 1 1 0 0 0 1 1 NA NA 6 1 3.25 2.25 5 5
2 2 3 3 1 1 1 1 1 1
CX 1 1 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0
1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 15 3.5 6 1 5.5 5.5 5 5 2 2 1 2 1 1 1 1 2 2
DX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 50 17.5 7.5 2.5 8.5 5 5 5 2 2 2 3 1 1 1 1
3 3
EX 1 0 1 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0
0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 NA NA 14.5 30 13 2.5 3 3 1 1 4 4 1 1 1
1 1 1
FX 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 0 0 1 1 1
0 0 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 165 25 11.5 15 12 6.5 5 5 1 1 3 3 1 1 1 1
4 5
GX 1 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 1 0
0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 40 20 14.5 9.5 11 10 3 3 1 1 1 3 1 1 3 4 1
3
HX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 NA NA NA NA NA NA NA NA NA
NA NA NA NA 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 0 70 18.5 1 12.5 7.2 7.2 5 5 2
2 3 3 3 3 1 1 2 4
JX 1 0 1 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 65 9 11 18 4.5 3.75 1 3 2 3 2 2 1 1 1 1 2
2
KX 1 0 1 0 1 0 0 1 NA NA NA 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 1
0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 NA NA 4.25 4.5 2.1 1.6 3 3 2 2 2 3 1 1
1 2 1 1
LX 1 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0
1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 80 32.5 13 4 8.5 5.25 2 3 3 3 3 3 1 1 1 1
3 4
MX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 45 7.5 14 1 11 5.5 3 4 2 2 3 3 1 1 1 1 2 3
NX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 42.5 12.5 17.5 1 11 NA 5 5 2 2 3 3 1 1 1 1
1 2
OX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1
0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 NA NA 25 1 25 NA 3 4 1 2 3 3 1 1 3 3 1
1
PX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 42.5 11.5 21.5 2 25 NA 4 5 2 2 3 3 1 1 1 2
1 2
QX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1
0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 27.5 1.5 19 NA 3 3 2 2 3 3 1 1 1
2 1 1
RX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1
0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 1 24 NA 3 4 2 2 3 3 1 1 3 3 1
1
SX 1 1 0 0 1 0 0 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 47.5 20 22.5 2 15 NA 5 5 2 2 3 3 1 1 1 1 2
2
TX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 40 11 15 1.5 11.5 NA 5 5 2 3 3 3 1 1 1 1 2
2
UX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0
1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 65 35 39 2.5 20 NA 3 4 2 2 3 3 1 1 2 2 1 2
VX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 85 10.5 19.5 1.5 13.5 NA 5 5 2 3 3 3 1 1 2
2 2 2
WX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 155 18 30 2 17.5 NA 5 5 2 3 3 3 1 1 1 2 2
3
XX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 90 10.5 25 1 19 NA 5 5 2 2 3 3 1 1 1 1 2 3
YX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 0 1
0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 2.5 20.25 NA 3 3 2 2 3 3 1 1
2 2 1 1
ZX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0
0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 105 25 37.5 1 37.5 2.25 5 5 2 3 3 3 1 1 1
1 2 2
AY 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0
1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 85 6.5 11.5 3 11.5 3.25 5 5 2 2 3 4 1 1 1
2 2 4
BY 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0
1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 38 10 6.5 8 3 2.5 4 5 2 2 2 3 1 1 1 2 2 3
CY 0 1 0 0 0 1 1 0 1 0 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 1
1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 15 3.5 5 1.5 3.25 3.5 5 5 2 3 2 2 1 1 1 1
2 2
DY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA NA
NA NA NA NA 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 70 20 NA NA 5.5 3.5 5 5 3 3
3 3 3 3 1 1 9 9
EY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0
0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 20 7 8 25 5.5 3.25 3 3 3 3 3 3 1 1 1 1 2 2
FY 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 1 1 1 1
0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 150 25 13 24 11.5 4.5 5 5 3 3 4 4 1 1 1 1
5 6
GY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0
0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 50 15 12.5 17.5 8.5 5.75 3 3 3 3 2 3 1 1 1
1 2 3
HY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 110 15 9.5 7.5 11 3.35 5 5 3 3 4 4 3 3 1 1
4 5
JY 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0
1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 60 11.5 10 30 3.25 3.75 3 3 2 2 1 1 1 1 1
1 2 3
KY 0 0 0 1 1 0 0 1 NA NA NA 1 0 1 0 0 1 0 1 0 1 1 0 1 1 0 1 0 0 0 0 0 0 0 1
0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 NA NA 6.5 23 2.25 1 1 2 2 2 3 3 1 1 2
2 2 2
LY 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0
1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 52.5 20 11 5 6.25 4.25 2 2 2 2 3 3 1 1 1 1
2 4
MY 0 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0
0 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 60 15 3 15 1.5 1.25 5 5 2 2 2 2 1 1 1 1 6
6
NY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 1 1 0 1 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 0
0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 50 14 3.75 25 2.85 2.4 5 5 2 2 1 2 1 1 1 1
5 6
OY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0
0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 45 14 4 15 2.75 1.75 5 5 2 2 2 3 1 1 2 3 5
5
PY 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 0
0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 60 18.5 3.75 15 2.75 2.1 5 5 2 2 2 3 1 1 1
2 4 6
QY 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 1 1 0 0
0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 290 90 8.5 22.5 2.75 2.25 5 5 2 2 2 3 1 1
1 2 7 7
RY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 0
0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 55 15.5 7.5 14 7 2.25 5 5 2 2 3 3 1 1 2 3
2 4
SY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0
0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 55 20 5.5 30 4.5 2.5 5 5 2 2 3 3 1 1 1 1 4
5
TY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0
0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 40 15 4.5 25 2.75 1.75 5 5 2 2 3 3 1 1 1 1
4 6
UY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0 1 0 0
1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 200 27.5 6.5 25 2.45 2.25 5 5 2 2 2 3 1 1
1 2 7 7
VY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 0 1 0 0 1 0 0 1 1 1 0 0
0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 135 17.5 5.5 17.5 2.75 2.25 5 5 2 2 2 3 1
1 1 2 5 7
WY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 1 1 0 1 0 1 1 0
0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 240 35 5.5 14 3.25 2.75 5 5 2 2 2 3 1 1 1
2 7 7
XY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0
0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 175 27.5 4 10.5 2.5 1.875 5 5 2 2 2 2 1 1
1 1 6 7
YY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0
0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 230 42.5 5.6 25 2.5 2.5 5 5 2 2 2 2 1 1 1
2 5 7
ZY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 115 35 10.5 20 7.5 6.5 5 5 1 1 3 3 1 1 1
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Hi Birgitle, You need to get this right if someone is going to spend their time helping you. Your code doesn't work: You have specified more columns in colClasses than you have in the provided data set.> TestPart<-read.table("TestPart.txt", header=TRUE,row.names=1, > na.strings="NA" ,colClasses = Classe81)Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 82 elements> TestPart<-read.table("TestPart.txt", header=TRUE,row.names=1, > na.strings="NA")Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : number of items read is not a multiple of the number of columns> length(names(TestPart))[1] 72> length(Classe81)[1] 82 That will never work. HTH, Mark. Birgitle wrote:> > Sorry if this post should be long but I tried to give you a piece of my > data to reproduce my error message using hetcor: > > Fehler in result$rho : $ operator is invalid for atomic vectors > Zus?tzlich: Warning messages: > 1: In polychor(x, y, ML = ML, std.err = std.err) : > 1 row with zero marginal removed > 2: In polychor(x, y, ML = ML, std.err = std.err) : > the table has fewer than 2 rows > > > Error in result$rho : $ operator is invalid for atomic vectors > Additional: Warning message: > 1: In polychor(x, y, ML = ML, std.err = std.err) : > 1 row with zero marginal removed > 2: In polychor(x, y, ML = ML, std.err = std.err) : > the table has fewer than 2 rows > > Use tab delimited data at the end of the post. > Copy in Texteditor and save as TestPart.txt > > Then use the following code > > library(methods) > setClass("of") > setAs("character", "of", function(from) as.ordered(from)) > > Classe81<-cclasses <- c(rep("factor", 64), rep("numeric",6), rep ("of", > 12)) > > TestPart<-read.table("TestPart.txt", header=TRUE,row.names=1, > na.strings="NA" ,colClasses = Classe81) > > str(TestPart) > > library(polycor) > > TestPart.hetcor<-hetcor(TestPart, use="complete.obs") > > this will produce the above mentioned error message that I can not > interprete. > > Would be great if somebody could help me to solve the problem. > > Thanks > > B. > > > > > 1 2 3 4 7 8 9 10 12 13 14 15 16 17 18 19 21 22 23 25 27 28 29 30 31 33 34 > 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 58 59 60 > 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 > AX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 > 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 25 5 9 1 8.5 2.5 3 5 2 2 3 3 1 1 1 2 1 > 2 > BX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA > NA 0 0 0 1 0 NA NA NA NA NA NA NA 0 0 0 0 1 1 0 0 0 1 1 NA NA 6 1 3.25 > 2.25 5 5 2 2 3 3 1 1 1 1 1 1 > CX 1 1 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 > 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 15 3.5 6 1 5.5 5.5 5 5 2 2 1 2 1 1 1 1 > 2 2 > DX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 > 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 50 17.5 7.5 2.5 8.5 5 5 5 2 2 2 3 1 1 > 1 1 3 3 > EX 1 0 1 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 > 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 NA NA 14.5 30 13 2.5 3 3 1 1 4 4 1 > 1 1 1 1 1 > FX 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 0 0 1 1 > 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 165 25 11.5 15 12 6.5 5 5 1 1 3 3 1 1 > 1 1 4 5 > GX 1 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 1 > 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 40 20 14.5 9.5 11 10 3 3 1 1 1 3 1 1 3 > 4 1 3 > HX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 NA NA NA NA NA NA NA NA > NA NA NA NA NA 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 0 70 18.5 1 12.5 7.2 7.2 > 5 5 2 2 3 3 3 3 1 1 2 4 > JX 1 0 1 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 65 9 11 18 4.5 3.75 1 3 2 3 2 2 1 1 1 > 1 2 2 > KX 1 0 1 0 1 0 0 1 NA NA NA 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 > 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 NA NA 4.25 4.5 2.1 1.6 3 3 2 2 2 3 > 1 1 1 2 1 1 > LX 1 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 > 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 80 32.5 13 4 8.5 5.25 2 3 3 3 3 3 1 1 > 1 1 3 4 > MX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 45 7.5 14 1 11 5.5 3 4 2 2 3 3 1 1 1 1 > 2 3 > NX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 42.5 12.5 17.5 1 11 NA 5 5 2 2 3 3 1 1 > 1 1 1 2 > OX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 > 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 NA NA 25 1 25 NA 3 4 1 2 3 3 1 1 3 > 3 1 1 > PX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 42.5 11.5 21.5 2 25 NA 4 5 2 2 3 3 1 1 > 1 2 1 2 > QX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 > 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 27.5 1.5 19 NA 3 3 2 2 3 3 1 > 1 1 2 1 1 > RX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 > 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 1 24 NA 3 4 2 2 3 3 1 1 3 > 3 1 1 > SX 1 1 0 0 1 0 0 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 47.5 20 22.5 2 15 NA 5 5 2 2 3 3 1 1 1 > 1 2 2 > TX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 40 11 15 1.5 11.5 NA 5 5 2 3 3 3 1 1 1 > 1 2 2 > UX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 > 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 65 35 39 2.5 20 NA 3 4 2 2 3 3 1 1 2 2 > 1 2 > VX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 85 10.5 19.5 1.5 13.5 NA 5 5 2 3 3 3 1 > 1 2 2 2 2 > WX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 155 18 30 2 17.5 NA 5 5 2 3 3 3 1 1 1 > 2 2 3 > XX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 90 10.5 25 1 19 NA 5 5 2 2 3 3 1 1 1 1 > 2 3 > YX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 0 > 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 2.5 20.25 NA 3 3 2 2 3 3 > 1 1 2 2 1 1 > ZX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 105 25 37.5 1 37.5 2.25 5 5 2 3 3 3 1 > 1 1 1 2 2 > AY 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 > 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 85 6.5 11.5 3 11.5 3.25 5 5 2 2 3 4 1 > 1 1 2 2 4 > BY 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 0 > 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 38 10 6.5 8 3 2.5 4 5 2 2 2 3 1 1 1 2 > 2 3 > CY 0 1 0 0 0 1 1 0 1 0 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 > 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 15 3.5 5 1.5 3.25 3.5 5 5 2 3 2 2 1 1 > 1 1 2 2 > DY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA > NA NA NA NA NA 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 70 20 NA NA 5.5 3.5 5 5 > 3 3 3 3 3 3 1 1 9 9 > EY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 20 7 8 25 5.5 3.25 3 3 3 3 3 3 1 1 1 1 > 2 2 > FY 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 1 1 1 > 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 150 25 13 24 11.5 4.5 5 5 3 3 4 4 1 1 > 1 1 5 6 > GY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 50 15 12.5 17.5 8.5 5.75 3 3 3 3 2 3 1 > 1 1 1 2 3 > HY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 > 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 110 15 9.5 7.5 11 3.35 5 5 3 3 4 4 3 3 > 1 1 4 5 > JY 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 > 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 60 11.5 10 30 3.25 3.75 3 3 2 2 1 1 1 > 1 1 1 2 3 > KY 0 0 0 1 1 0 0 1 NA NA NA 1 0 1 0 0 1 0 1 0 1 1 0 1 1 0 1 0 0 0 0 0 0 0 > 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 NA NA 6.5 23 2.25 1 1 2 2 2 3 3 1 > 1 2 2 2 2 > LY 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 > 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 52.5 20 11 5 6.25 4.25 2 2 2 2 3 3 1 1 > 1 1 2 4 > MY 0 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 > 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 60 15 3 15 1.5 1.25 5 5 2 2 2 2 1 1 1 > 1 6 6 > NY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 1 1 0 1 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 50 14 3.75 25 2.85 2.4 5 5 2 2 1 2 1 1 > 1 1 5 6 > OY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 45 14 4 15 2.75 1.75 5 5 2 2 2 3 1 1 2 > 3 5 5 > PY 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 60 18.5 3.75 15 2.75 2.1 5 5 2 2 2 3 1 > 1 1 2 4 6 > QY 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 1 1 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 290 90 8.5 22.5 2.75 2.25 5 5 2 2 2 3 > 1 1 1 2 7 7 > RY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 55 15.5 7.5 14 7 2.25 5 5 2 2 3 3 1 1 > 2 3 2 4 > SY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 55 20 5.5 30 4.5 2.5 5 5 2 2 3 3 1 1 1 > 1 4 5 > TY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 40 15 4.5 25 2.75 1.75 5 5 2 2 3 3 1 1 > 1 1 4 6 > UY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0 1 0 > 0 1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 200 27.5 6.5 25 2.45 2.25 5 5 2 2 2 3 > 1 1 1 2 7 7 > VY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 135 17.5 5.5 17.5 2.75 2.25 5 5 2 2 2 > 3 1 1 1 2 5 7 > WY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 1 1 0 1 0 1 1 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 240 35 5.5 14 3.25 2.75 5 5 2 2 2 3 1 > 1 1 2 7 7 > XY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 > 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 175 27.5 4 10.5 2.5 1.875 5 5 2 2 2 2 > 1 1 1 1 6 7 > YY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 230 42.5 5.6 25 2.5 2.5 5 5 2 2 2 2 1 > 1 1 2 5 7 > ZY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 > 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 115 35 10.5 20 7.5 6.5 5 5 1 1 3 3 1 1 > 1 > > > > > > > > > > > >-- View this message in context: http://www.nabble.com/Problems-using-hetcor-%28polycor%29-tp18867343p18868284.html Sent from the R help mailing list archive at 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Hi Birgitle, It seems to be failing on those columns that have just a single "entry" (i.e = 1, with the rest as 0; having just 1, an <NA>, and then 0s gets you through). And there are other reasons for failure (in the call to get a positive definite matrix). The main problem lies in the calculation of standard errors for some combinations. You can get a result for all columns by turning this off. You can get standard errors for all the columns up to 60 by omitting columns 12, 23, and 44. You need to work out the rest yourself by "columning" forwards till you get a failure, then drop that column from the index. There probably isn't enough information to calculate SEs for the columns that cause an error. ## This works with default settings but without columns 12, 23 and 44 hetcor(TestPart[,c(1:11,13:22,24:43,45)], pd=T, std.err=T, use="complete.obs") ## The first fails; the second works hetcor(TestPart[,c(1:11,13:22,24:43,45:60)], pd=T, std.err=F) hetcor(TestPart[,c(1:72)], pd=F, std.err=F) HTH, Mark. Birgitle wrote:> > Sorry if this post should be long but I tried to give you a piece of my > data to reproduce my error message using hetcor: > > Fehler in result$rho : $ operator is invalid for atomic vectors > Zus?tzlich: Warning messages: > 1: In polychor(x, y, ML = ML, std.err = std.err) : > 1 row with zero marginal removed > 2: In polychor(x, y, ML = ML, std.err = std.err) : > the table has fewer than 2 rows > > > Error in result$rho : $ operator is invalid for atomic vectors > Additional: Warning message: > 1: In polychor(x, y, ML = ML, std.err = std.err) : > 1 row with zero marginal removed > 2: In polychor(x, y, ML = ML, std.err = std.err) : > the table has fewer than 2 rows > > Use tab delimited data at the end of the post. > Copy in Texteditor and save as TestPart.txt > > Then use the following code > > library(methods) > setClass("of") > setAs("character", "of", function(from) as.ordered(from)) > > Classe81<-cclasses <- c(rep("factor", 64), rep("numeric",6), rep ("of", > 12)) > > TestPart<-read.table("TestPart.txt", header=TRUE,row.names=1, > na.strings="NA" ,colClasses = Classe81) > > str(TestPart) > > library(polycor) > > TestPart.hetcor<-hetcor(TestPart, use="complete.obs") > > this will produce the above mentioned error message that I can not > interprete. > > Would be great if somebody could help me to solve the problem. > > Thanks > > B. > > > > > 1 2 3 4 7 8 9 10 12 13 14 15 16 17 18 19 21 22 23 25 27 28 29 30 31 33 34 > 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 58 59 60 > 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 > AX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 > 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 25 5 9 1 8.5 2.5 3 5 2 2 3 3 1 1 1 2 1 > 2 > BX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA > NA 0 0 0 1 0 NA NA NA NA NA NA NA 0 0 0 0 1 1 0 0 0 1 1 NA NA 6 1 3.25 > 2.25 5 5 2 2 3 3 1 1 1 1 1 1 > CX 1 1 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 > 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 15 3.5 6 1 5.5 5.5 5 5 2 2 1 2 1 1 1 1 > 2 2 > DX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 > 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 50 17.5 7.5 2.5 8.5 5 5 5 2 2 2 3 1 1 > 1 1 3 3 > EX 1 0 1 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 > 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 NA NA 14.5 30 13 2.5 3 3 1 1 4 4 1 > 1 1 1 1 1 > FX 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 0 0 1 1 > 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 165 25 11.5 15 12 6.5 5 5 1 1 3 3 1 1 > 1 1 4 5 > GX 1 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 1 > 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 40 20 14.5 9.5 11 10 3 3 1 1 1 3 1 1 3 > 4 1 3 > HX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 NA NA NA NA NA NA NA NA > NA NA NA NA NA 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 0 70 18.5 1 12.5 7.2 7.2 > 5 5 2 2 3 3 3 3 1 1 2 4 > JX 1 0 1 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 65 9 11 18 4.5 3.75 1 3 2 3 2 2 1 1 1 > 1 2 2 > KX 1 0 1 0 1 0 0 1 NA NA NA 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 > 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 NA NA 4.25 4.5 2.1 1.6 3 3 2 2 2 3 > 1 1 1 2 1 1 > LX 1 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 > 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 80 32.5 13 4 8.5 5.25 2 3 3 3 3 3 1 1 > 1 1 3 4 > MX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 45 7.5 14 1 11 5.5 3 4 2 2 3 3 1 1 1 1 > 2 3 > NX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 42.5 12.5 17.5 1 11 NA 5 5 2 2 3 3 1 1 > 1 1 1 2 > OX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 > 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 NA NA 25 1 25 NA 3 4 1 2 3 3 1 1 3 > 3 1 1 > PX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 42.5 11.5 21.5 2 25 NA 4 5 2 2 3 3 1 1 > 1 2 1 2 > QX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 > 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 27.5 1.5 19 NA 3 3 2 2 3 3 1 > 1 1 2 1 1 > RX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 > 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 1 24 NA 3 4 2 2 3 3 1 1 3 > 3 1 1 > SX 1 1 0 0 1 0 0 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 47.5 20 22.5 2 15 NA 5 5 2 2 3 3 1 1 1 > 1 2 2 > TX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 40 11 15 1.5 11.5 NA 5 5 2 3 3 3 1 1 1 > 1 2 2 > UX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 > 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 65 35 39 2.5 20 NA 3 4 2 2 3 3 1 1 2 2 > 1 2 > VX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 85 10.5 19.5 1.5 13.5 NA 5 5 2 3 3 3 1 > 1 2 2 2 2 > WX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 155 18 30 2 17.5 NA 5 5 2 3 3 3 1 1 1 > 2 2 3 > XX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 90 10.5 25 1 19 NA 5 5 2 2 3 3 1 1 1 1 > 2 3 > YX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 0 > 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 2.5 20.25 NA 3 3 2 2 3 3 > 1 1 2 2 1 1 > ZX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 105 25 37.5 1 37.5 2.25 5 5 2 3 3 3 1 > 1 1 1 2 2 > AY 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 > 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 85 6.5 11.5 3 11.5 3.25 5 5 2 2 3 4 1 > 1 1 2 2 4 > BY 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 0 > 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 38 10 6.5 8 3 2.5 4 5 2 2 2 3 1 1 1 2 > 2 3 > CY 0 1 0 0 0 1 1 0 1 0 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 > 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 15 3.5 5 1.5 3.25 3.5 5 5 2 3 2 2 1 1 > 1 1 2 2 > DY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA > NA NA NA NA NA 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 70 20 NA NA 5.5 3.5 5 5 > 3 3 3 3 3 3 1 1 9 9 > EY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 20 7 8 25 5.5 3.25 3 3 3 3 3 3 1 1 1 1 > 2 2 > FY 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 1 1 1 > 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 150 25 13 24 11.5 4.5 5 5 3 3 4 4 1 1 > 1 1 5 6 > GY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 50 15 12.5 17.5 8.5 5.75 3 3 3 3 2 3 1 > 1 1 1 2 3 > HY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 > 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 110 15 9.5 7.5 11 3.35 5 5 3 3 4 4 3 3 > 1 1 4 5 > JY 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 > 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 60 11.5 10 30 3.25 3.75 3 3 2 2 1 1 1 > 1 1 1 2 3 > KY 0 0 0 1 1 0 0 1 NA NA NA 1 0 1 0 0 1 0 1 0 1 1 0 1 1 0 1 0 0 0 0 0 0 0 > 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 NA NA 6.5 23 2.25 1 1 2 2 2 3 3 1 > 1 2 2 2 2 > LY 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 > 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 52.5 20 11 5 6.25 4.25 2 2 2 2 3 3 1 1 > 1 1 2 4 > MY 0 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 > 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 60 15 3 15 1.5 1.25 5 5 2 2 2 2 1 1 1 > 1 6 6 > NY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 1 1 0 1 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 50 14 3.75 25 2.85 2.4 5 5 2 2 1 2 1 1 > 1 1 5 6 > OY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 45 14 4 15 2.75 1.75 5 5 2 2 2 3 1 1 2 > 3 5 5 > PY 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 60 18.5 3.75 15 2.75 2.1 5 5 2 2 2 3 1 > 1 1 2 4 6 > QY 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 1 1 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 290 90 8.5 22.5 2.75 2.25 5 5 2 2 2 3 > 1 1 1 2 7 7 > RY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 55 15.5 7.5 14 7 2.25 5 5 2 2 3 3 1 1 > 2 3 2 4 > SY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 55 20 5.5 30 4.5 2.5 5 5 2 2 3 3 1 1 1 > 1 4 5 > TY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 > 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 40 15 4.5 25 2.75 1.75 5 5 2 2 3 3 1 1 > 1 1 4 6 > UY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0 1 0 > 0 1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 200 27.5 6.5 25 2.45 2.25 5 5 2 2 2 3 > 1 1 1 2 7 7 > VY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 0 1 0 0 1 0 0 1 1 1 0 > 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 135 17.5 5.5 17.5 2.75 2.25 5 5 2 2 2 > 3 1 1 1 2 5 7 > WY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 1 1 0 1 0 1 1 > 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 240 35 5.5 14 3.25 2.75 5 5 2 2 2 3 1 > 1 1 2 7 7 > XY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 > 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 175 27.5 4 10.5 2.5 1.875 5 5 2 2 2 2 > 1 1 1 1 6 7 > YY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 > 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 230 42.5 5.6 25 2.5 2.5 5 5 2 2 2 2 1 > 1 1 2 5 7 > ZY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 > 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 115 35 10.5 20 7.5 6.5 5 5 1 1 3 3 1 1 > 1 > > > > > > > > > > > >-- View this message in context: http://www.nabble.com/Problems-using-hetcor-%28polycor%29-tp18867343p18869967.html Sent from the R help mailing list archive at Nabble.com.