Displaying 2 results from an estimated 2 matches for "sddensity".
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2012 Apr 05
2
count() function
...but I can't find anything. I simply want to count the data for a 
given category.
I've been using the ddply() function in the plyr package to summarize 
means and st dev of my data, with this code:
ddply(NZ_Conifers,.(ElevCat, DataSource, SizeClass), summarise, 
avgDensity=mean(Density), sdDensity=sd(Density), n=sum(Density))
and that gives me results that look like this:
    ElevCat DataSource SizeClass avgDensity   sdDensity            n
1    Elev1        FIA    Class1   38.67768  46.6673478    734.87598
2    Elev1        FIA    Class2   27.34096  23.3232470    820.22879
3    Elev1...
2012 Mar 25
2
avoiding for loops
I have data that looks like this:
> df1
  group id
1   red  A
2   red  B
3   red  C
4  blue  D
5  blue  E
6  blue  F
I want a list of the groups containing vectors with the ids.    I am
avoiding subset(), as it is
only recommended for interactive use.  Here's what I have so far:
df1 <- data.frame(group=c("red", "red", "red", "blue",