On Sep 19, 2009, at 5:39 AM, Sam Player wrote:

#I have a dataset with two factor. I want to combine those factors into a single factor and count the number of data values for each new factor. The following gives a comparable dataframe:

a <- rep(c("a", "b"), c(6,6))
b <- rep(c("c", "d"), c(6,6))
df <- data.frame(f1=a, f2=b, d=rnorm(12))
df

# I use the 'interaction' function to combine factors f1 and f2:

df2 <- data.frame(f3=interaction(df[,"f1"], df[,"f2"]), d=df[,"d"])
df2

# A count of the first data.frame using factor f1 returns the kind of results I am looking for:

count <- as.data.frame(table(df$f1))
count

#  Var1 Freq
#1    a    6
#2    b    6

# As does a count using factor2:

count2 <- as.data.frame(table(df$f2))
count2

#  Var1 Freq
#1    a    6
#2    b    6

# The same procedure on the second dataframe does not treat the levels of factor f3 discreetly, instead giving all possible combinations of f1 and f2.

We appear to have a different understanding of the term "discrete". The interaction function produces all possible combinations of factors and then table() counts the occurrences of such.


count3 <- as.data.frame(table(df2$f3))
count3

#  Var1 Freq
#1  a.c    6
#2  b.c    0
#3  a.d    0
#4  b.d    6

I need the results to be:

#  Var1 Freq
#1    a    6
#2    b    6

Puzzled. You already have such. Why would you want the interaction function to behave differently? Did you just want to create a label from f1 and f2? That can be achieved:

> df2 <- df
> df2$f12 <- with( df2, paste(f1,f2,sep=".") )
> df2
   f1 f2           d f12
1   a  c -0.52902802 a.c
2   a  c -1.07351118 a.c
3   a  c  0.63463011 a.c
4   a  c  0.26857599 a.c
5   a  c  1.57677999 a.c
6   a  c  1.08645153 a.c
7   b  d -0.60400852 b.d
8   b  d -0.06611533 b.d
9   b  d  1.00787048 b.d
10  b  d  1.48289305 b.d
11  b  d  0.54658888 b.d
12  b  d -0.67630052 b.d

> count3 <- as.data.frame(table(df2$f12))
> count3
  Var1 Freq
1  a.c    6
2  b.d    6






# Any suggestions?

--
Sam Player, B.Sc.(Hons.) B.A.
Ph.D. Candidate, Faculty of Agriculture, Food & Natural Resources, University of Sydney

Email: spla...@usyd.edu.au

Agroecosystems Research Group
Room 214 J.R.A. McMillan Building A05
University of Sydney NSW 2006, Australia

Angkor Research Program
Room 305 Old Teachers College A22
University of Sydney NSW 2006, Australia

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David Winsemius, MD
Heritage Laboratories
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