This seems to work:
tmp <- aggregate(DF$y, list(DF$x, DF$f), mean)
tmp2 <- aggregate(DF$conc, list(DF$x, DF$f), paste,collapse=", ")
names(tmp2)[3] <- "var1"
final <- merge(tmp,tmp2)
--- Lauri Nikkinen <lauri.nikkinen at iki.fi> wrote:
> #Hi R-users,
> #I have an example DF like this:
>
> y1 <- rnorm(10) + 6.8
> y2 <- rnorm(10) + (1:10*1.7 + 1)
> y3 <- rnorm(10) + (1:10*6.7 + 3.7)
> y <- c(y1,y2,y3)
> x <- rep(1:3,10)
> f <- gl(2,15, labels=paste("lev", 1:2, sep=""))
> g <- seq(as.Date("2000/1/1"), by="day", length=30)
> DF <- data.frame(x=x,y=y, f=f, g=g)
> DF$wdays <- weekdays(DF$g)
> DF$conc <- paste(DF$g, DF$wdays)
> DF
>
> #Now I calculate group means
>
> tmp <- aggregate(DF$y, list(DF$x, DF$f), mean)
> tmp
>
> #After doing this, I want to merge string from DF$conc to tmp using DF$x
> and
> DF$y as an identifier
> #The following DF should look like this:
>
> Group.1 Group.2 x var1
> 1 1 lev1 6.607869 2000-01-01 Saturday, 2000-01-04 Tuesday,
> 2000-01-07 Friday, 2000-01-10 Monday etc.
> 2 2 lev1 6.598861 etc.
> 3 3 lev1 7.469262
> 4 1 lev2 27.488734
> 5 2 lev2 33.164037
> 6 3 lev2 34.466359
>
> #How do I do this?
>
> #Cheers,
> #Lauri
>
> [[alternative HTML version deleted]]
>
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