Re: [R] Combining data from different saved files with same object names into one data frame
Try this storing them to a list with the j,k,l,m as an index:
result - list()
for(j in 1:2){
for(k in 1:6){
for(l in 1:2){
for(m in 1:2){
fsumstatZINB=paste(/Users/chris/Dropbox/phd/analysis/Simulation/zinbmodels/summaries/zinbsumstat-,j,k,l,m,.rdata,
sep=)
load(fsumstatZINB)
print(zinbMeans[,1])
result[[paste(j,k,l,m)]] - zinbMeans
}
}
}
}
On Mon, Feb 4, 2013 at 12:02 PM, Christopher Desjardins
cddesjard...@gmail.com wrote:
Hi,
I am simulating data from a zero-inflated negative binomial model. I have 4
different conditions and I've saved various information about the models in
zinbsumbstat-jklm.rdata (as shown below). What I want to do is print
information from each of these *.rdata and store them in one large object
(a matrix or a data frame). However, within each data the objects all have
the same name. So I don't know how to combine these into one object. Below
is the code that I could use to paste all the information into the console.
for(j in 1:2){
for(k in 1:6){
for(l in 1:2){
for(m in 1:2){
fsumstatZINB=paste(/Users/chris/Dropbox/phd/analysis/Simulation/zinbmodels/summaries/zinbsumstat-,j,k,l,m,.rdata,
sep=)
load(fsumstatZINB)
print(zinbMeans[,1])
}
}
}
}
How could I combine all the information from these loops into a matrix() or
a data.frame()?
Two of the datasets [1,2] are pasted in a public Dropbox.
Thanks!
Chris
[1] https://dl.dropbox.com/u/1501309/zinbsumstat-.rdata
[2] https://dl.dropbox.com/u/1501309/zinbsumstat-1112.rdata
[[alternative HTML version deleted]]
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and provide commented, minimal, self-contained, reproducible code.
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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Re: [R] Combining data from different saved files with same object names into one data frame
Thanks Jim. That'll work for me!
Chris
On Mon, Feb 4, 2013 at 11:17 AM, jim holtman jholt...@gmail.com wrote:
Try this storing them to a list with the j,k,l,m as an index:
result - list()
for(j in 1:2){
for(k in 1:6){
for(l in 1:2){
for(m in 1:2){
fsumstatZINB=paste(/Users/chris/Dropbox/phd/analysis/Simulation/zinbmodels/summaries/zinbsumstat-,j,k,l,m,.rdata,
sep=)
load(fsumstatZINB)
print(zinbMeans[,1])
result[[paste(j,k,l,m)]] - zinbMeans
}
}
}
}
On Mon, Feb 4, 2013 at 12:02 PM, Christopher Desjardins
cddesjard...@gmail.com wrote:
Hi,
I am simulating data from a zero-inflated negative binomial model. I
have 4
different conditions and I've saved various information about the models
in
zinbsumbstat-jklm.rdata (as shown below). What I want to do is print
information from each of these *.rdata and store them in one large object
(a matrix or a data frame). However, within each data the objects all
have
the same name. So I don't know how to combine these into one object.
Below
is the code that I could use to paste all the information into the
console.
for(j in 1:2){
for(k in 1:6){
for(l in 1:2){
for(m in 1:2){
fsumstatZINB=paste(/Users/chris/Dropbox/phd/analysis/Simulation/zinbmodels/summaries/zinbsumstat-,j,k,l,m,.rdata,
sep=)
load(fsumstatZINB)
print(zinbMeans[,1])
}
}
}
}
How could I combine all the information from these loops into a matrix()
or
a data.frame()?
Two of the datasets [1,2] are pasted in a public Dropbox.
Thanks!
Chris
[1] https://dl.dropbox.com/u/1501309/zinbsumstat-.rdata
[2] https://dl.dropbox.com/u/1501309/zinbsumstat-1112.rdata
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
