A good way to solve problems like this is to write a function that
will work with one variable, and then use one of the apply family
of functions (in this case sapply) to do it for each of your
variables. In this case, such a function would be something like
this:
make1plot = function(var){
jpeg(paste(var,'jpg',sep='.'))
pairs(Sunset[,c(var,names(Sunset)[1:10])],main=paste(var,'vs. explanatory
variables'),
panel=panel.smooth)
dev.off()
}
(Notice that indexing precludes the need for cbind when you're creating a
sub-matrix.)
Now suppose the names of your dependent variables are stored in a vector
called "deps". Then
sapply(deps,make1plot)
should do what you want.
I couldn't test this, since you didn't provide a reproducible example. If you
use this list often, you'll find that providing a reproducible example goes a
long way towards getting a good answer.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Fri, 10 Feb 2012, jarvisma wrote:
I am very new to R and programming and thank you in advance for your patience
and help with a complete novice!
I am working with a large multivariate data set that has 10 explanatory
environmental variables (e.g. temp, depth) and over 60 response variables
(each is a separate species). My data frame is set up like the simplified
version below:
JulianDay Temperature Salinity Depth Copepod Barnacle Gastropod
Bivalve
222 12.1 33 0.3 500
756 0 178
222 12.3 33.2 1.1 145
111 0 0
223 11.1 33.1 7 752
234 12 0
Where JulianDay, Temperature, Salinity, Depth, Copepod, Barnacle, Gastropod,
and Bivalve are the column headers.
I am using the pairs function in R to explore my data. My data frame is
named Sunset.
Using this code:
Z=cbind(Sunset$Copepod,Sunset[,c(1:10)]) #the first 10 columns of my data
frame are explanatory variables such as temp
Pairs.Copepod=pairs(Z,main="Copepods vs. explanatory variables",
panel=panel.smooth)
I get a great pair plot of Copepods vs. all of the 10 explanatory
environmental variables. I would like to do this for each of my 60+
species. I can't just make one big pair plot of all of my explanatory
variables vs. all of my species because I have too many. So instead I would
like a separate pair plot for each species (each column of data after the
first 10 columns of explanatory variables)
I would like to be able to write a loop that creates all of these plots at
once, but haven't been able to do so. Ideally, each pair plot would have
the main title be the column header (e.g. Copepod) for that plot. I would
love to include a way to save each pair plot as separate jpeg to a folder
on my desktop with a file name that includes the species name (e.g.
Copepod).
Again, I am very new to R and to programing so I would GREATLY appreciate
anyone patient and kind enough to respond with lots of detail so I can
hopefully follow your answer and suggestions. I have searched but haven't
been able to find a way to write a loop that uses each column of data, so I
would love some help!
Thank you!
Marley
--
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Sent from the R help mailing list archive at Nabble.com.
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