you forgot to include "output1" in your cbind call.
what I normally do is initialise the variable where I want to store
the dataframe prior to starting the loop:
output1<-NULL
then run the loop, and within it there should be a:
output1<-cbind(output1, newdata)
where 'newdata' will be the new column the loop just calculated and I
want to add to the dataframe.
That way the dataframe grows as the data is produced.
As long as you don't have many columns/rows to add it will work fine.
When I was handling large dataframes I found it was a very inefficient
method and it takes too long after it has a few thousand data points.
In that case it's much better to calculate beforehand how big the
dataframe will be, and initialise it in full size, then just fill in
as needed.
I hope this helps.
Jose
Quoting Etn <2nuzz...@gmail.com>:
Hi All,
Apologies for the simplicity of my question, but I would be grateful for any
advice. Thanks
I'm trying to put the output from a for loop into a data frame, however I
have not been successful.
The steps I have taken are:
*R-code:*
for (k in 1:(nt-1-n0) ){
n<- n0-1+k
lam=n/nt
Q=x[n]
output1<-data.frame(cbind(k,n,lam,Q))
output1
}
output1
*R-Output *
k n lam Q
1 14 18 0.9 18
I would like the output in this format, but for all the values of k (i.e.
1-14 as opposed to just the last value)
I have also tried
*R-code:*
nt=20
n0=5
x=c(1:20)
for (k in 1:(nt-1-n0) ){
n<- n0-1+k
lam=n/nt
Q=x[n]
output1<-data.frame(cbind(k,n,lam,Q))
print(output1)
}
*R-Output *
k n lam Q
1 1 5 0.25 5
k n lam Q
1 2 6 0.3 6
k n lam Q
1 3 7 0.35 7
k n lam Q
1 4 8 0.4 8
k n lam Q
1 5 9 0.45 9
k n lam Q
1 6 10 0.5 10
k n lam Q
1 7 11 0.55 11
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--
Dr. Jose I. de las Heras Email: j.delashe...@ed.ac.uk
The Wellcome Trust Centre for Cell Biology Phone: +44 (0)131 6507095
Institute for Cell & Molecular Biology Fax: +44 (0)131 6507360
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and provide commented, minimal, self-contained, reproducible code.
