Hi Raphael,

see below.

I have the following data frame (df):
...
> df2

    X.PAD2 Y.PAD2
73 574618.3 179650
74 574719.0 179688
75 574719.0 179688
76 574723.5 179678
77 574724.9 179673
78 574747.1 179598
79 574641.8 179570
80 574639.6 179573
81 574618.3 179650
82       NA     NA
83       NA     NA
...
44       NA     NA
45       NA     NA
46       NA     NA

followed by removing the NA's using

> df2 <- df2[!is.na(df2),]

...

is.na( df2) produces a logical matrix (!), and you are then indexing the rows of your data frame with a matrix which is "converted" into a vector of its elements producing far too many logical indices for your task (so to say).

I assume you should be using

na.omit( df2)

instead.

 Hth  --  Gerrit

---------------------------------------------------------------------
Dr. Gerrit Eichner                   Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de   Justus-Liebig-University Giessen
Tel: +49-(0)641-99-32104          Arndtstr. 2, 35392 Giessen, Germany
Fax: +49-(0)641-99-32109        http://www.uni-giessen.de/cms/eichner

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