Dear R-community,
I am using R (V 2.14.1) on Windows 7. I have a dataset which consists of 19
variables for 91 individuals or rows. Two of my variables are Age
(adult/chick, with no NA values) and Sex (0 for females/1 for females, with
quite a few NA values). The sex of many adult birds is unknown (entered as
NA in dataframe). At some point of my analyses, I happen to need to need to
work with only male adults, so I tried subsetting the dataframe as follows
(see code below) but I get a new dataframe containing all the males but also
a lot of unneeded information such as data in rows 1-7 (NAs), 13, 14, 19 and
21-30. I suspect this is caused by NAs in the variable Sex because
everything goes fine (I get a dataframe containing adults) if I run the same
code but without the "& Data$Sex == 1" part.
How can I fix this problem? I there a straightforward way of subsetting
efficiently when NAs are present in the original dataset?
Thank you so much!
Luciano
adult.males <- Data[Data$Category == "Adult" & Data$Sex == 1,]
adult.males
ID Category Sex Beak Head
NA <NA> <NA> NA NA NA
NA.1 <NA> <NA> NA NA NA
NA.2 <NA> <NA> NA NA NA
NA.3 <NA> <NA> NA NA NA
NA.4 <NA> <NA> NA NA NA
NA.5 <NA> <NA> NA NA NA
NA.6 <NA> <NA> NA NA NA
9 LAA10 Adult 1 57.40 121.95
10 LAA11 Adult 1 56.40 113.00
11 LAA12 Adult 1 52.00 111.85
13 LAA14 Adult 1 56.55 124.85
15 LAA16 Adult 1 57.15 120.10
NA.7 <NA> <NA> NA NA NA
NA.8 <NA> <NA> NA NA NA
21 LAA22 Adult 1 56.85 117.35
22 LAA23 Adult 1 54.80 117.45
27 LAA28 Adult 1 59.00 116.75
28 LAA29 Adult 1 55.95 124.25
NA.9 <NA> <NA> NA NA NA
30 LAA31 Adult 1 57.70 112.80
NA.10 <NA> <NA> NA NA NA
NA.11 <NA> <NA> NA NA NA
NA.12 <NA> <NA> NA NA NA
NA.13 <NA> <NA> NA NA NA
NA.14 <NA> <NA> NA NA NA
NA.15 <NA> <NA> NA NA NA
NA.16 <NA> <NA> NA NA NA
NA.17 <NA> <NA> NA NA NA
NA.18 <NA> <NA> NA NA NA
NA.19 <NA> <NA> NA NA NA
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