the computations.
require(pplyr)
output<-dddply(xm, .(variable), as.data.frame.function(h))
output
I can easily do this using ddply when I only want to use 1 variable in
the model, but can't figure out how to do it with two variables.
Many thanks for any hints!
Ali
---
d by another variable (for example site), but I can't
figure out how to get ggplot to plot all of the columns as Y data,
without specifying each separate timeseries with a distinct
+geom_line(aes(y="columnname").
Any suggestions on either problem would be greatly appreciated!
~Al
Hi,
I have a 5-paneled figure that i made using the facet function in
qplot (ggplot). I've managed to arrange the panels into two rows/
three columns, but for the sake of easy visual comparisons between
panels in my particular dataset, I want to have the two plots on the
bottom align on t
I have a data.frame with ~250 observations (rows) in each of ~50
categories (columns). I would like to perform t.tests on subsets of
observations within each column, with the subsets according to index
vectors contained in other columns of the data.frame.
My data.frame looks something like
Hi,
I've tried to figure this out using Intro to R and help(), to no avail
- I am new at this.
I'm trying to write a script that will read multiple files from a
directory and then merge them into a single new data frame.
The original data are in a tree-ring specific format, and so I've first
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