[R] Selecting groups with R

[Don McKenzie]

dataset[dataset$Color != "BLUE",]

On 21-Aug-09, at 3:08 PM, jlwoodard wrote:

>
> I have a data set similar to the following:
>
> Color  Score
> RED      10
> RED      13
> RED      12
> WHITE   22
> WHITE   27
> WHITE   25
> BLUE     18
> BLUE     17
> BLUE     16
>
> and I am trying to to select just the values of Color that are  
> equal to RED
> or WHITE, excluding the BLUE.
>
> I've tried the following:
> myComp1<-subset(dataset, Color =="RED" | Color == "WHITE")
> myComp1<-subset(dataset, Color != "BLUE")
> myComp1<-dataset[which(dataset$Color != "BLUE"),]
>
> Each of the above lines successfully excludes the BLUE subjects,  
> but the
> "BLUE" category is still present in my data set; that is, if I try
> table(Color)  I get
>
> RED  WHITE  BLUE
> 82     151      0
>
> If I try to do a t-test (since I've presumably gone from three  
> groups to two
> groups), I get:
> Error in if (stderr < 10 * .Machine$double.eps * max(abs(mx), abs 
> (my)))
> stop("data are essentially constant") :
>   missing value where TRUE/FALSE needed
> In addition: Warning message:
> In mean.default(y) : argument is not numeric or logical: returning NA
>
> and describe.by(score,Color) gives me descriptives for RED and  
> WHITE, and
> BLUE also shows up as NULL.
>
> How can I eliminate the BLUE category completely so I can do a t- 
> test using
> Color (with just the RED and WHITE subjects)?
>
> Many thanks in advance!!
>
> John
>
>
>
> -- 
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> groups-with-R-tp25088073p25088073.html
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>
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Don McKenzie, Research Ecologist
Pacific WIldland Fire Sciences Lab
US Forest Service

Affiliate Professor
School of Forest Resources, College of the Environment
CSES Climate Impacts Group
University of Washington

desk: 206-732-7824
cell: 206-321-5966
dmck at u.washington.edu
donaldmckenzie at fs.fed.us