Re: [R] Filtering Cases with != NA

2015-12-17 Thread Sarah Goslee
You need the is.na() function:

> dataset <- data.frame(No = 1:4, Name = c("Smith", "Mayor", "Miller", 
> "Baltic"), Turnover = c(1500, 200, NA, 750))
> dataset
  No   Name Turnover
1  1  Smith 1500
2  2  Mayor  200
3  3 Miller   NA
4  4 Baltic  750

[1]  TRUE  TRUE FALSE  TRUE
> dataset[complete.cases(dataset), ]
  No   Name Turnover
1  1  Smith 1500
2  2  Mayor  200
4  4 Baltic  750

> dataset[!is.na(dataset$Turnover), ]
  No   Name Turnover
1  1  Smith 1500
2  2  Mayor  200
4  4 Baltic  750

> subset(dataset, !is.na(Turnover))
  No   Name Turnover
1  1  Smith 1500
2  2  Mayor  200
4  4 Baltic  750



On Thu, Dec 17, 2015 at 7:50 AM,   wrote:
> Dear All,
>
> I am new to "R" and search for a solution to exclude cases if a certain
> variable contains NA for a case.
>
> Example
>
> No Name Turnover
> 1 Smith 1500
> 2 Mayor 200
> 3 Miller
> 4 Batic 750
>
> I would like to create a subset excluding case 3 Miller NA.
>
> I tried to following:
>
> new_dataset <- subset(dataset, subset = Turnover != NA)
>
> This does not work. The new_dataset contains all variables but not cases
> are left. R responds "Variables with all observations missing".
>
> How could I do it right?
>
> Kind regards
>
> Georg
>

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[R] Filtering Cases with != NA

2015-12-17 Thread G . Maubach
Dear All,

I am new to "R" and search for a solution to exclude cases if a certain 
variable contains NA for a case.

Example

No Name Turnover
1 Smith 1500
2 Mayor 200
3 Miller 
4 Batic 750

I would like to create a subset excluding case 3 Miller NA.

I tried to following:

new_dataset <- subset(dataset, subset = Turnover != NA)

This does not work. The new_dataset contains all variables but not cases 
are left. R responds "Variables with all observations missing".

How could I do it right?

Kind regards

Georg


[[alternative HTML version deleted]]

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Re: [R] Filtering Cases with != NA

2015-12-17 Thread jim holtman
use the 'is.na' function:

new_dataset <- subset(dataset, subset = !is.na(Turnover))


Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

On Thu, Dec 17, 2015 at 7:50 AM,  wrote:

> Dear All,
>
> I am new to "R" and search for a solution to exclude cases if a certain
> variable contains NA for a case.
>
> Example
>
> No Name Turnover
> 1 Smith 1500
> 2 Mayor 200
> 3 Miller
> 4 Batic 750
>
> I would like to create a subset excluding case 3 Miller NA.
>
> I tried to following:
>
> new_dataset <- subset(dataset, subset = Turnover != NA)
>
> This does not work. The new_dataset contains all variables but not cases
> are left. R responds "Variables with all observations missing".
>
> How could I do it right?
>
> Kind regards
>
> Georg
>
>
> [[alternative HTML version deleted]]
>
> __
> 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.
>

[[alternative HTML version deleted]]

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Re: [R] Filtering Cases with != NA

2015-12-17 Thread David Wolfskill
On Thu, Dec 17, 2015 at 01:50:29PM +0100, g.maub...@weinwolf.de wrote:
> Dear All,
> 
> I am new to "R" and search for a solution to exclude cases if a certain 
> variable contains NA for a case.
> ... 
> I would like to create a subset excluding case 3 Miller NA.
> 
> I tried to following:
> 
> new_dataset <- subset(dataset, subset = Turnover != NA)
> 
> This does not work. The new_dataset contains all variables but not cases 
> are left. R responds "Variables with all observations missing".
> 
> How could I do it right?
> 

Please review the documentation for na.omit() (and related functions.

Peace,
david
-- 
David H. Wolfskill  r...@catwhisker.org
Those who would murder in the name of God or prophet are blasphemous cowards.

See http://www.catwhisker.org/~david/publickey.gpg for my public key.


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