On Nov 27, 2011, at 10:15 PM, Katrina Bennett wrote:
Hi all,
I'm working to apply a function that will generate a matrix of
results only
when a specific criteria is met.
I want my final results to be a matrix with both the values that
meet the
criteria (the results of the function), and those that to do in the
same
positions in the matrix (the original numbers).
Here's a sample of what I would like to do:
t.mean.1.c <- c(-15, -20, -30, -20, -25, -35, -40, -8, 9, 10)
cdem <- c(300, 400, 700, 900, 1000, 250, 200, 300, 500, 650, 650,
1200,
1400, 3200, 2000)
cdem.mat <- matrix(NA, 10, 15)
cdem.mat <- cdem.mat(sapply(cdem[which(cdem >= 900)], function(x)
......................^
cdem.mat is not a function, cannot use "(".
get("t.mean.1.c") - (x * -0.0065)))
I want cdem.mat to be the same size as the the first call of it,
with NA
values where the cdem is < 899.
You are only offering 10 values as replacements and an unequal number
of condition regardless of whether you count the qualifying cdem
conditions (6) or the total conditions(15). So you will need to be
more clear about how you want the conditions to apply to values. They
stepping the audience through the first few decisions and say where
you want the values placed. Maybe you should also say whether you
expect values to be recycled (the default with matrix assignment).
I suppose it is possible that you want the results of this:
cdem.mat[cdem>899] <- t.mean.1.c - (cdem * -0.0065)
.... but I'm guessing not.
I thought this would fill it in but it
seems to just over write it and I only end up with the rows where
cdem is
greater than 900.
Thank you,
Katrina
--
Katrina E. Bennett
PhD Student
University of Alaska Fairbanks
International Arctic Research Center
930 Koyukuk Drive, PO Box 757340
Fairbanks, Alaska 99775-7340
907-474-1939 office
907-385-7657 cell
kebenn...@alaska.edu
Personal Address:
UAF, PO Box 752525
Fairbanks, Alaska 99775-2525
bennett.katr...@gmail.com
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