You have no missing data. Note that the string "" is not missing! You need to 
code missings as NA. Have look at ?is.na

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and 
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
[email protected]
www.inbo.be

To call in the statistician after the experiment is done may be no more than 
asking him to perform a post-mortem examination: he may be able to say what the 
experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure 
that a reasonable answer can be extracted from a given body of data.
~ John Tukey


-----Oorspronkelijk bericht-----
Van: [email protected] [mailto:[email protected]] Namens 
Bill
Verzonden: vrijdag 25 april 2014 13:06
Aan: [email protected]
Onderwerp: [R] why does it say all the cases are complete?

Hi, Can someone explain why it says the cases are complete. It seems they are 
not.

head(x)
  rnum    Exam.Title Patient.ID  Age Sex Impression2
1    1 Temporal bone    3529243 009Y   M
2    2 Temporal bone    3529243 010Y   M
3    3          Head    3508570 002M   M
4    4        Sacrum    3494713 004D   F
5    5          Head    3471128 015M   F
6    6          Head    3494480 022M   M
  Impression3 AgeByYear Exposure      Reason   Result
1                     9        H
2                    10        H
3                     0        H   premature Negative
4                     0        P
5                     1        H     seizure negative
6                     1        H head trauma Negative
  Repeat Result.1
1      h        P
2     r1        P
3               N
4               P
5               N
6      h        N
> complete.cases(x[1:5,])
[1] TRUE TRUE TRUE TRUE TRUE
> class(x)
[1] "data.frame"
> str(x)
'data.frame': 978 obs. of  13 variables:
 $ rnum       : int  1 2 3 4 5 6 7 8 9 10 ...
 $ Exam.Title : Factor w/ 75 levels "Abdomen","Abdomen (Post CE)",..: 74 74
21 68 21 21 21 21 2 3 ...
 $ Patient.ID : int  3529243 3529243 3508570 3494713 3471128 3494480
3494480 3553704 3295006 3295006 ...
 $ Age        : Factor w/ 53 levels "000Y","001D",..: 30 33 4 11 43 51 51
40 33 33 ...
 $ Sex        : Factor w/ 2 levels "F","M": 2 2 2 1 1 2 2 2 1 1 ...
 $ Impression2: Factor w/ 114 levels "","????","?????",..: 1 1 1 1 1 1 1 1
1 57 ...
 $ Impression3: Factor w/ 22 levels "","??","??????",..: 1 1 1 1 1 1 1 1 1
13 ...
 $ AgeByYear  : int  9 10 0 0 1 1 1 13 10 10 ...
 $ Exposure   : Factor w/ 27 levels "A","A 2","A P",..: 11 11 11 27 11 11
11 11 1 2 ...
 $ Reason     : Factor w/ 112 levels "","abnormal behavior, check",..: 1 1
80 1 87 36 36 36 1 1 ...
 $ Result     : Factor w/ 7 levels "","Inconclusive",..: 1 1 4 1 3 4 4 4 1
1 ...
 $ Repeat     : Factor w/ 13 levels "","h","r1","r10",..: 2 3 1 1 1 2 3 1 2
6 ...
 $ Result.1   : Factor w/ 2 levels "N","P": 2 2 1 2 1 1 1 1 2 2 ...
> mode(x)
[1] "list"

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