[R] rowMean, specify subset of columns within Dataframe?

Charles C. Berry cberry at tajo.ucsd.edu
Sun Nov 25 22:01:33 CET 2007

On Sun, 25 Nov 2007, aaront wrote:

> I would like to calculate the mean of tree leader increment growth over 5
> years (I1 through I5) where each tree is a row and each row has 5 columns.
> So far I have achieved this using rowMeans when all columns are numeric type
> and used in the calculation:
> Data1 <- data.frame(cbind(I1 = 3, I2 = c(0,3:1, 2:5,NA), I3
> =c(1:4,NA,5:2),I4=2,I5=3))
> Data1


 	!sapply( Data1, is.factor )


 	Data_2 <- transform( Data1, I5.factor=factor(I5) )
 	!sapply( Data_2, is.factor )


 	rowMeans( Data_2[ , !sapply( Data_2, is.factor ) ], na.rm = TRUE )





> Data1$mean_5 <- rowMeans(Data1, na.rm =T)
> Data1
> My real dataset has many columns including several Factor type. Is it
> possible to specify a range of columns within a data frame  using rowMeans
> dims= (say where there is a one
> Factor  column called Species leading I1 to I5, and one Factor column called
> Moisture following, so 7 columns total) , or do I either need to extract
> those columns to a new data frame, calculate means, and reattach to the
> original data frame, or use a different function such as apply?
> Unfortunately I am fairly new to R and have a difficult time with some
> terminology and concepts in R Help.
> -- 
> View this message in context: http://www.nabble.com/rowMean%2C-specify-subset-of-columns-within-Dataframe--tf4871420.html#a13939204
> Sent from the R help mailing list archive at Nabble.com.
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Charles C. Berry                            (858) 534-2098
                                             Dept of Family/Preventive Medicine
E mailto:cberry at tajo.ucsd.edu	            UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901

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