Displaying 3 results from an estimated 3 matches for "jyj".
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2012 Apr 03
1
Imputing missing values using "LSmeans" (i.e., population marginal means) - advice in R?
...te that YEAR will be treated as a factor and not a linear variable (i.e., the relationship between COUNT and YEAR is not linear - rather there are highs and lows about every 10 or so years).
One thought I did have was to just set up a loop to calculate the least-squares estimates as:
Yij = (IYi + JYj - Y)/[(I-1)(J-1)]
where I = number of treatments and J = number of blocks (so I = sites and J = years). I found this formula in some stats lecture handouts by UC Davis on unbalanced data and LSMeans...but does it yield the same thing as using the LSmeans estimates? Does it make any sense? Thoughts...
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",
2009 Jul 23
1
[PATCH server] changes required for fedora rawhide inclusion.
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