thr3ads.net - R help - [R] Setting all rows of a certain level to NA in a factor [Oct 2012]

If this information is useful, please help other people find it:
Share via:

Pancho Mulongeni

2012-Oct-17 14:51 UTC

[R] Setting all rows of a certain level to NA in a factor

Hello everyone.
My task is set certain levels (that is all rows of that level) as missing values
in factor B20_A.
Excuse the notation, it happens to be a question number in a survey.
So I thought it would work easily by defining the levels
and their labels using the 'factor' function.
> levels(B20_A)[1] "   " "5.6" "No " "Yes"
#as you can see 'No' is a level.
#I below define the levels, I expect 5.6 and blank to be set as NA
B20_A<-factor(B20_A,levels=c('No','Yes'),labels=c('No','Yes'))
summary(B20_A)

  No  Yes NA's 
   0  149  580 
to my surprise, 'No' is also set as NA, why is this happening?

I am a frequent SPSS user and I am surprised that this operation does not seem
to be so straight forward in R.
Thanks
my object is defined below.
structure(c(4L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 
3L, 3L, 1L, 1L, 4L, 1L, 4L, 4L, 3L, 1L, 3L, 4L, 3L, 4L, 3L, 3L, 
1L, 1L, 3L, 1L, 3L, 4L, 4L, 3L, 1L, 1L, 4L, 4L, 3L, 3L, 3L, 1L, 
3L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 4L, 4L, 3L, 
1L, 1L, 4L, 4L, 3L, 1L, 1L, 3L, 1L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 
3L, 4L, 4L, 4L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 
1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 
3L, 1L, 3L, 3L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 
4L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 
4L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 
1L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L, 
3L, 3L, 1L, 3L, 4L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 4L, 1L, 3L, 
4L, 1L, 4L, 1L, 4L, 1L, 3L, 1L, 3L, 1L, 4L, 4L, 1L, 1L, 4L, 4L, 
4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 3L, 1L, 4L, 4L, 
1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 3L, 
1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 1L, 
4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 
4L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 4L, 
1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 3L, 1L, 
3L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 4L, 2L, 1L, 1L, 1L, 1L, 3L, 4L, 
1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 3L, 1L, 3L, 1L, 4L, 4L, 
1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 
4L, 4L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 4L, 1L, 3L, 4L, 1L, 
1L, 4L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 
1L, 3L, 1L, 4L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 3L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 
1L, 3L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 
1L, 3L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 4L, 3L, 1L, 4L, 
3L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 4L, 3L, 3L, 1L, 1L, 
3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L, 
1L, 4L, 1L, 4L, 3L, 3L, 1L, 3L, 3L, 1L, 4L, 4L, 1L, 3L, 3L, 4L, 
3L, 4L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 3L, 
3L, 1L, 1L, 3L, 4L, 3L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 1L, 3L, 3L, 
1L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 4L, 1L, 3L, 3L, 1L, 
1L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 
3L, 4L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 4L, 1L, 3L, 
1L, 4L, 4L, 3L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 1L, 1L, 
1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 3L, 1L, 
1L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 4L, 
3L, 3L, 3L, 4L, 4L, 3L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 
4L, 1L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 
1L, 1L, 3L, 4L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 3L, 1L, 4L, 1L, 3L, 
1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 3L, 1L, 3L, 1L, 
1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 3L), .Label = c("   ", 
"5.6", "No ", "Yes"), class = "factor")

Pancho Mulongeni
Research Assistant
PharmAccess Foundation
1 Fouch? Street
Windhoek West
Windhoek
Namibia
?
Tel:?? +264 61 419 000
Fax:? +264 61 419 001/2
Mob: +264 81 276 6075

Berend Hasselman

2012-Oct-17 19:43 UTC

head link

[R] Setting all rows of a certain level to NA in a factor

On 17-10-2012, at 16:51, Pancho Mulongeni wrote:
> Hello everyone.
> My task is set certain levels (that is all rows of that level) as missing
values in factor B20_A.
> Excuse the notation, it happens to be a question number in a survey.
> So I thought it would work easily by defining the levels
> and their labels using the 'factor' function.
> 
>> levels(B20_A)
> [1] "   " "5.6" "No " "Yes"
> #as you can see 'No' is a level.

No it is not. 'No ' i.e. No followed by a space is a level.
Change "No " to "No" in your object.

Berend
> #I below define the levels, I expect 5.6 and blank to be set as NA
>
B20_A<-factor(B20_A,levels=c('No','Yes'),labels=c('No','Yes'))
> summary(B20_A)
> 
>  No  Yes NA's 
>   0  149  580 
> to my surprise, 'No' is also set as NA, why is this happening?
> 
> I am a frequent SPSS user and I am surprised that this operation does not
seem to be so straight forward in R.
> Thanks
> my object is defined below.
> structure(c(4L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 
> 3L, 3L, 1L, 1L, 4L, 1L, 4L, 4L, 3L, 1L, 3L, 4L, 3L, 4L, 3L, 3L, 
> 1L, 1L, 3L, 1L, 3L, 4L, 4L, 3L, 1L, 1L, 4L, 4L, 3L, 3L, 3L, 1L, 
> 3L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 4L, 4L, 3L, 
> 1L, 1L, 4L, 4L, 3L, 1L, 1L, 3L, 1L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 
> 3L, 4L, 4L, 4L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 
> 1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 
> 3L, 1L, 3L, 3L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 
> 4L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 
> 4L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 
> 1L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L, 
> 3L, 3L, 1L, 3L, 4L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 4L, 1L, 3L, 
> 4L, 1L, 4L, 1L, 4L, 1L, 3L, 1L, 3L, 1L, 4L, 4L, 1L, 1L, 4L, 4L, 
> 4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 3L, 1L, 4L, 4L, 
> 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 3L, 
> 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 1L, 
> 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 
> 4L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 4L, 
> 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 3L, 1L, 
> 3L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 4L, 2L, 1L, 1L, 1L, 1L, 3L, 4L, 
> 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 3L, 1L, 3L, 1L, 4L, 4L, 
> 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 
> 4L, 4L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 4L, 1L, 3L, 4L, 1L, 
> 1L, 4L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 
> 1L, 3L, 1L, 4L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 
> 1L, 1L, 1L, 3L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 1L, 4L, 
> 1L, 3L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 1L, 
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 
> 1L, 3L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 4L, 3L, 1L, 4L, 
> 3L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 4L, 3L, 3L, 1L, 1L, 
> 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L, 
> 1L, 4L, 1L, 4L, 3L, 3L, 1L, 3L, 3L, 1L, 4L, 4L, 1L, 3L, 3L, 4L, 
> 3L, 4L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 3L, 
> 3L, 1L, 1L, 3L, 4L, 3L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 1L, 3L, 3L, 
> 1L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 4L, 1L, 3L, 3L, 1L, 
> 1L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L, 
> 3L, 4L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 4L, 1L, 3L, 
> 1L, 4L, 4L, 3L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 1L, 1L, 
> 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 3L, 1L, 
> 1L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 4L, 
> 3L, 3L, 3L, 4L, 4L, 3L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 4L, 
> 4L, 1L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 
> 1L, 1L, 3L, 4L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 3L, 1L, 4L, 1L, 3L, 
> 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 3L, 1L, 3L, 1L, 
> 1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 3L), .Label = c("  
",
> "5.6", "No ", "Yes"), class =
"factor")
> 
> Pancho Mulongeni
> Research Assistant
> PharmAccess Foundation
> 1 Fouch? Street
> Windhoek West
> Windhoek
> Namibia
>  
> Tel:   +264 61 419 000
> Fax:  +264 61 419 001/2
> Mob: +264 81 276 6075
> 
> ______________________________________________
> R-help at r-project.org mailing list
> 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.

Rui Barradas

2012-Oct-17 19:48 UTC

head link

[R] Setting all rows of a certain level to NA in a factor

Hello,

Try the following.


b <- factor(ifelse(!B20_A %in% c("No ", "Yes"), NA,
B20_A), labels =
c("No ", "Yes"))
str(b)


Hope this helps,

Rui Barradas
Em 17-10-2012 15:51, Pancho Mulongeni escreveu:> Hello everyone.
> My task is set certain levels (that is all rows of that level) as missing
values in factor B20_A.
> Excuse the notation, it happens to be a question number in a survey.
> So I thought it would work easily by defining the levels
> and their labels using the 'factor' function.
>
>> levels(B20_A)
> [1] "   " "5.6" "No " "Yes"
> #as you can see 'No' is a level.
> #I below define the levels, I expect 5.6 and blank to be set as NA
>
B20_A<-factor(B20_A,levels=c('No','Yes'),labels=c('No','Yes'))
> summary(B20_A)
>
>    No  Yes NA's
>     0  149  580
> to my surprise, 'No' is also set as NA, why is this happening?
>
> I am a frequent SPSS user and I am surprised that this operation does not
seem to be so straight forward in R.
> Thanks
> my object is defined below.
> structure(c(4L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L,
> 3L, 3L, 1L, 1L, 4L, 1L, 4L, 4L, 3L, 1L, 3L, 4L, 3L, 4L, 3L, 3L,
> 1L, 1L, 3L, 1L, 3L, 4L, 4L, 3L, 1L, 1L, 4L, 4L, 3L, 3L, 3L, 1L,
> 3L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 4L, 4L, 3L,
> 1L, 1L, 4L, 4L, 3L, 1L, 1L, 3L, 1L, 4L, 3L, 3L, 3L, 1L, 4L, 3L,
> 3L, 4L, 4L, 4L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L,
> 1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L,
> 3L, 1L, 3L, 3L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L,
> 4L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L,
> 4L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 1L,
> 1L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L,
> 3L, 3L, 1L, 3L, 4L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 4L, 1L, 3L,
> 4L, 1L, 4L, 1L, 4L, 1L, 3L, 1L, 3L, 1L, 4L, 4L, 1L, 1L, 4L, 4L,
> 4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 3L, 1L, 4L, 4L,
> 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 3L,
> 1L, 1L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 1L, 1L, 4L, 3L, 1L, 1L,
> 4L, 1L, 4L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 3L, 1L, 1L,
> 4L, 4L, 1L, 1L, 4L, 4L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 4L,
> 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 3L, 1L,
> 3L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 4L, 2L, 1L, 1L, 1L, 1L, 3L, 4L,
> 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 3L, 1L, 3L, 1L, 4L, 4L,
> 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 3L, 1L, 1L,
> 4L, 4L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 4L, 1L, 3L, 4L, 1L,
> 1L, 4L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
> 1L, 3L, 1L, 4L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 3L, 1L, 4L, 4L, 4L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 1L, 4L,
> 1L, 3L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 1L, 1L,
> 1L, 3L, 4L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 4L, 3L, 1L, 4L,
> 3L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 1L, 3L, 4L, 4L, 3L, 3L, 1L, 1L,
> 3L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 4L, 1L,
> 1L, 4L, 1L, 4L, 3L, 3L, 1L, 3L, 3L, 1L, 4L, 4L, 1L, 3L, 3L, 4L,
> 3L, 4L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 3L, 3L, 3L, 1L, 4L, 3L, 3L,
> 3L, 1L, 1L, 3L, 4L, 3L, 3L, 1L, 1L, 4L, 3L, 1L, 4L, 1L, 3L, 3L,
> 1L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 1L, 1L, 3L, 4L, 1L, 3L, 3L, 1L,
> 1L, 3L, 3L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 3L, 3L, 1L,
> 3L, 4L, 1L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 4L, 1L, 3L,
> 1L, 4L, 4L, 3L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 1L, 1L,
> 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 3L, 1L,
> 1L, 3L, 3L, 1L, 4L, 1L, 4L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 4L,
> 3L, 3L, 3L, 4L, 4L, 3L, 4L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 4L,
> 4L, 1L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 3L, 1L, 1L,
> 1L, 1L, 3L, 4L, 1L, 1L, 3L, 3L, 4L, 4L, 1L, 3L, 1L, 4L, 1L, 3L,
> 1L, 1L, 1L, 1L, 3L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 3L, 1L, 3L, 1L,
> 1L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 3L), .Label = c("  
",
> "5.6", "No ", "Yes"), class =
"factor")
>
> Pancho Mulongeni
> Research Assistant
> PharmAccess Foundation
> 1 Fouch? Street
> Windhoek West
> Windhoek
> Namibia
>   
> Tel:   +264 61 419 000
> Fax:  +264 61 419 001/2
> Mob: +264 81 276 6075
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.

Seemingly Similar Threads

Search for more apparently analagous threads

R help - Oct 2012 - Setting all rows of a certain level to NA in a factor

[R] Setting all rows of a certain level to NA in a factor

[R] Setting all rows of a certain level to NA in a factor

[R] Setting all rows of a certain level to NA in a factor

Seemingly Similar Threads