Hi everone and thanks for this service,
I have a dataset which look like:
X. IE.2003 IE.2004 IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010
14560 118958 187 475 571 764 1047 1203 715 807
12737 105571 935 942 917 948 991 861 NA 541
15463 126514 NA 296 495 598 NA 1192 1174 800
4402 34370 NA 82 395 679 1654 1445 88 NA
6924 56280 668 863 851 812 1211 799 NA 588
17910 146534 887 971 1026 966 1037 855 562 675
18428 151088 99 263 584 832 1148 NA NA NA
17990 147181 93 169 670 565 1491 671 1219 518
15156 124148 NA 680 1991 426 282 784 921 733
8906 71851 49 1294 1377 1735 723 310 139 NA
My deal is to do imputation, I was trying with library mice, method="pmm", but
I get an error: too high correlation
Which imputation can I use? I have tried with other methods in mice but the
same error appears
Thanks in advance, Teresa
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