A quick question that I've had only partial success in answering. I
have a multivariate dataset, and would like to extract some simple
univariate information from it grouped by treatments, etc. I am
encountering two problems however
Note: I am importing my data with
my_data <- read.csv("/path/data.csv")
1) Scoping of unstack
If I attempt
sorted_data <- unstack(response, response ~ treatment, data=my_data)
I get
Error in unstack(response, response ~ treatment, data=my_data): Object
response not found
However, if I first use attatch(my_data) and drop the data statement in
unstack, I'm fine. This is all well and good, but I often work with
multiple data sets with similar column headings, and would rather not
have to attach and detach over and over again.
2) getting the univariate data
Once, I attach, I find that I cannot then easily just use mean, sd, or
anysuch, as
mean(sorted_data)
yields
argument is not numeric or logical: returning NA in: mean.default(a)
Nor does something like mean(sorted_data[1]) work - I thought perhaps
breaking it down by treatment might help.
Thanks in advance for any help!
-Jarrett
----------------------------------------
Jarrett Byrnes
Population Biology Graduate Group, UC Davis
Bodega Marine Lab
707-875-1969
http://www-eve.ucdavis.edu/stachowicz/byrnes.shtml
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