Hi

You put NA to some variable in 150 rows. So you do not have "mysterious" NA 
rows in your file. If you want to select anything based on column with NA 
values you have to perform your selection using which (as Rui suggested).

It is documented in help page, although it is probably rather less 
comprehensible (maybe some example added to help page could be useful).
-----
NAs in indexing

When extracting, a numerical, logical or character NA index picks an unknown 
element and so returns NA in the corresponding element of a logical, integer, 
numeric, complex or character result, and NULL for a list. (It returns 00 for a 
raw result.)
-----
I believe that this behaviour has some reason, because you compare 2 to NA and 
NA is basically "I do not know". So it could be 2 and therefore also rows with 
NA are returned. If I am wrong, I hope R gurus will correct me.

You said you want to remove rows with NA values, therefore I suggested 
complete.cases function. After this you end with object stripped from rows with 
NA values so with less rows.

I would be rather cautious with word "errorneous". I remember old days when 
Excel considered empty cells as zeros and gave "errorneous" calculations but I 
believe that it was pretty sensible from accountant point of view as empty cell 
means 0.

In almost all cases, analysis in R give you correct results, you just need to 
tell R how to apply function to object with NA values.
> mean(t1$Petal.Width)
[1] NA
> mean(t1$Petal.Width, na.rm=T)
[1] 1.147101
>

Cheers
Petr


> -----Original Message-----
> From: Ernest Han <ernest....@gmail.com>
> Sent: Wednesday, January 16, 2019 3:27 AM
> To: PIKAL Petr <petr.pi...@precheza.cz>
> Cc: r-help@r-project.org
> Subject: Re: [R] NA rows appeared in data.frame
>
> Dear Rui and Petr,
>
> Thank you for taking time and effort to help.
>
> Rui's solution is an effective workaround so that I can continue to work with
> the data. However, the appearance of these NA rows (with NA
> rownames) is clearly errorneous (possibly a bug behaviour due to R base code).
> What I am interested is a solution that removes these NA rows.
>
> The reasons is because (1) prior to the NA assignment, one does not need to
> test for NA value. (2) Besides, sometimes these NA values are needed as part 
> of
> the data to indicate that the missing data.
>
> > t1[t1$Petal.Width==1.8, "Petal.Width"] <- NA
>
> Petr's solution is also not apt in my case, because it removes 12 rows that 
> have
> NA values in "Petal.Width". I would like a solution that keeps the 150 rows, 
> but
> not the mysterious 12 rows with all NA values in all columns.

Now I am puzzled what do you really want?

with your example and my suggestion you get

t1 <- iris
t1[t1$Petal.Width==1.8, "Petal.Width"] <- NA
t2 <- t1[!is.na(t1$Petal.Width),]
t2[t2$Petal.Width == 2.0, ]
    Sepal.Length Sepal.Width Petal.Length Petal.Width   Species
111          6.5         3.2          5.1           2 virginica
114          5.7         2.5          5.0           2 virginica
122          5.6         2.8          4.9           2 virginica
123          7.7         2.8          6.7           2 virginica
132          7.9         3.8          6.4           2 virginica
148          6.5         3.0          5.2           2 virginica
>

> dim(t2)
[1] 138   5
> dim(t1)
[1] 150   5
>

>
> Once again, I appreciate your suggestions and I am hoping that this 
> 'errorneous'
> behaviour has a fix.
>
> Cheers,
> Ernest
>
> On Mon, Jan 14, 2019 at 4:25 PM PIKAL Petr <petr.pi...@precheza.cz> wrote:
> >
> > Hi
> >
> > If you want to remove rows with NA values from your data you could use
> >
> > ?complete.cases
> >
> > or
> >
> > t2 <- t1[!is.na(t1$Petal.Width),]
> >
> > Cheers
> > Petr
> >
> > > -----Original Message-----
> > > From: R-help <r-help-boun...@r-project.org> On Behalf Of Rui
> > > Barradas
> > > Sent: Saturday, January 12, 2019 12:55 PM
> > > To: Ernest Han <ernest....@gmail.com>; r-help@r-project.org
> > > Subject: Re: [R] NA rows appeared in data.frame
> > >
> > > Hello,
> > >
> > > You have to test for NA. Some (12) of the values of t1$Petal.Width
> > > are NA therefore t1$Petal.Width == 2.0 alone returns 12 NA values.
> > >
> > > t1[t1$Petal.Width == 2.0 & !is.na(t1$Petal.Width == 2.0), ]
> > >
> > > Or use which(t1$Petal.Width == 2.0).
> > >
> > > t1[which(t1$Petal.Width == 2.0), ]
> > >
> > >
> > > Hope this helps,
> > >
> > > Rui Barradas
> > >
> > > Às 08:23 de 12/01/2019, Ernest Han escreveu:
> > > > Dear All,
> > > >
> > > > After replacing some values in a data.frame, NAs rows have
> > > > appeared and cannot be removed. I have googled these issues and
> > > > found that several people have encountered it. Solutions in
> > > > stackoverflow seem to provide work-arounds but does not remove it from
> the data.frame.
> > > > Therefore, I am turning to experts in this community for help.
> > > >
> > > > The code is as follows,
> > > >
> > > >> t1 <- iris
> > > >> t1[t1$Petal.Width==1.8, "Petal.Width"] <- NA t1[t1$Petal.Width ==
> > > >> 2.0, ]
> > > >        Sepal.Length Sepal.Width Petal.Length Petal.Width   Species
> > > > 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>
> > > > 111            6.5         3.2          5.1           2 virginica
> > > > 114            5.7         2.5          5.0           2 virginica
> > > > NA.4            NA          NA           NA          NA      <NA>
> > > > 122            5.6         2.8          4.9           2 virginica
> > > > 123            7.7         2.8          6.7           2 virginica
> > > > NA.5            NA          NA           NA          NA      <NA>
> > > > NA.6            NA          NA           NA          NA      <NA>
> > > > NA.7            NA          NA           NA          NA      <NA>
> > > > NA.8            NA          NA           NA          NA      <NA>
> > > > 132            7.9         3.8          6.4           2 virginica
> > > > NA.9            NA          NA           NA          NA      <NA>
> > > > NA.10           NA          NA           NA          NA      <NA>
> > > > 148            6.5         3.0          5.2           2 virginica
> > > > NA.11           NA          NA           NA          NA      <NA>
> > > >
> > > > ## Twelve values were replaced, twelve NA rows appeared.
> > > >
> > > > ### MISC INFO ###
> > > >> sessionInfo()
> > > > R version 3.4.0 (2017-04-21)
> > > > Platform: x86_64-apple-darwin16.5.0 (64-bit) Running under: macOS
> > > > 10.14.2
> > > >
> > > > Matrix products: default
> > > > BLAS:
> > > > /System/Library/Frameworks/Accelerate.framework/Versions/A/Framewo
> > > > rks/ vecLib.framework/Versions/A/libBLAS.dylib
> > > > LAPACK:
> > > > /System/Library/Frameworks/Accelerate.framework/Versions/A/Framewo
> > > > rks/ vecLib.framework/Versions/A/libLAPACK.dylib
> > > >
> > > > locale:
> > > > [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
> > > >
> > > > attached base packages:
> > > > [1] stats     graphics  grDevices utils     datasets  methods   base
> > > >
> > > > loaded via a namespace (and not attached):
> > > > [1] compiler_3.4.0 tools_3.4.0
> > > >> Sys.getlocale()
> > > > [1] "en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-
> 8"
> > > >
> > > >
> > > > Thank you,
> > > > Ernest
> > > >
> > > > ______________________________________________
> > > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > > PLEASE do read the posting guide
> > > > http://www.R-project.org/posting-guide.html
> > > > and provide commented, minimal, self-contained, reproducible code.
> > > >
> > >
> > > ______________________________________________
> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> > > PLEASE do read the posting guide
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