Dear helpers,
I'm using R version 2.8.0.
Suppose that I have a small data set like below.
[,1] [,2] [,3] [,4]
a1100
b0110
c1110
d0111
First, I'd like to find sum of each row uniquely present in each row, but
only sequentially f
Thanks Jim for pointing out how to properly ask.
Here is is my question and a small subset of the data and output.
I have a data set with many blanks. The blanks should be replaced with zero
once imported.
I tried read.table, read.csv (R 2.8 version),or scan, but none was
successful.
Any suggestio
Dear members,
I have a data set with many blanks. The blanks should be replaced with zero
once imported.
I tried read.table, read.csv (R 2.8 version),or scan, but none was
successful.
Any suggestion, please..
thanks.
Keun-Hyung
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Dear all,
I'm using R2.8 version, and am trying to do NMDS and calculate other
diversity indices in vegan package.
The problem is that it works with a small set of data (43 X 23; row by
column), but the following error message comes up with a larger data set (43
X 104) (it seems not large to me a
Here is a clean version. I did this with nls and it works (see below), but
I need to do it with optim. Keun-Hyung
# optim
vol<-rep(c(0.03, 0.5, 2, 4, 8, 16, 32), 3)
time<-rep(c(2,4,8),each=7)
p.mated<-c(0.47, 0.48, 0.43, 0.43, 0.26, 0.23, NA, 0.68, 0.62, 0.64, 0.58,
0.53, 0.47,
0.24, 0.8, 0.79,
I saw a similar question but I still don't fully understand how to implement
optim.
Can someone help me out with this?
Thanks. Keun-Hyung
> vol<-rep(c(0.03, 0.5, 2, 4, 8, 16, 32), 3)
> time<-rep(c(2,4,8),each=7)
> p.mated<-c(0.47, 0.48, 0.43, 0.43, 0.26, 0.23, "null", 0.68, 0.62, 0.64,
0.58, 0.53,
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