[R] R combining many vectors of predictable name into one date frame

2012-07-15 Thread Mathew Vickers
G'day R (power) users,

I have a many vectors, called:

ib1
ib2
ib3
...
ib100

and I would like them in one data frame (df) such that:

 df

ib1  ib2   ib3  ib4 .  ib100
x  x  xxx
x  x  xxx
x  x  xxx

I have attempted:

hold.list - list(objects(pattern=ib))
df - data.frame(hold.list)

but that didn't work

also:
do.call(rbind, (objects(pattern=ib)))

and that also didn't work. I tried a whole pile of other things, where I
also failed.


The number of vectors might differ each time I want to make the data frame,
so that in the example above, I have ib1 : ib100, but next time, I might
only have ib1 : ib2

Below is my (probably somewhat embarrassing) example script for generating
the vectors in the first place. Commented out toward the end are a few
attempts at doing the job I wanted to do.


temp - runif(100)
tripID - rep(1:10, 10)
uni - rep(1:4, 25)
temp - data.frame(temp, tripID, uni)

trips - unique(temp$tripID)
uni - unique(temp$uni[temp$tripID==trips[1]])

for (jj in 1:length(uni)){
  a - c()
  for (ii in 1:10){
a - c(a, IQR(temp$temp[temp$uni %in% sample(uni,jj)]))
assign(paste(ib,jj,sep=), a) # ib is short for ibuttons. The number
is how many were used to calc IQR
  }
#   hold.list - list(objects(patter=ib))
#   trip - data.frame(list=hold.list # I am trying to put everything into
a dataframe
#   do.call(rbind, list=hold.list)
#   do.call(rbind, list(objects(pattern=ib)))
}


thanks heaps if you can help. And sorry if this is mostly garble. This is
my first crack at soliciting help from the list.

cheers,

mat


-- 
Mathew Vickers
PhD Student
James Cook University
CSRIO
Australia, mate.

[[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.


Re: [R] R combining many vectors of predictable name into one date frame

2012-07-15 Thread Rui Barradas

Hello,

Try the following.


ib1 - 1:10
ib2 - rnorm(10)

hold.list - objects(pattern=ib)
df - sapply(hold.list, get)
df


Note that you don't need list(), and that sapply() returns a data.frame 
if possible.


Also, 'df' is the name of an R function, use something else like 'df1'.

Hope this helps

Rui Barradas

Em 14-07-2012 00:51, Mathew Vickers escreveu:

G'day R (power) users,

I have a many vectors, called:

ib1
ib2
ib3
...
ib100

and I would like them in one data frame (df) such that:


df


ib1  ib2   ib3  ib4 .  ib100
x  x  xxx
x  x  xxx
x  x  xxx

I have attempted:

hold.list - list(objects(pattern=ib))
df - data.frame(hold.list)

but that didn't work

also:
do.call(rbind, (objects(pattern=ib)))

and that also didn't work. I tried a whole pile of other things, where I
also failed.


The number of vectors might differ each time I want to make the data frame,
so that in the example above, I have ib1 : ib100, but next time, I might
only have ib1 : ib2

Below is my (probably somewhat embarrassing) example script for generating
the vectors in the first place. Commented out toward the end are a few
attempts at doing the job I wanted to do.


temp - runif(100)
tripID - rep(1:10, 10)
uni - rep(1:4, 25)
temp - data.frame(temp, tripID, uni)

trips - unique(temp$tripID)
uni - unique(temp$uni[temp$tripID==trips[1]])

for (jj in 1:length(uni)){
   a - c()
   for (ii in 1:10){
 a - c(a, IQR(temp$temp[temp$uni %in% sample(uni,jj)]))
 assign(paste(ib,jj,sep=), a) # ib is short for ibuttons. The number
is how many were used to calc IQR
   }
#   hold.list - list(objects(patter=ib))
#   trip - data.frame(list=hold.list # I am trying to put everything into
a dataframe
#   do.call(rbind, list=hold.list)
#   do.call(rbind, list(objects(pattern=ib)))
}


thanks heaps if you can help. And sorry if this is mostly garble. This is
my first crack at soliciting help from the list.

cheers,

mat




__
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.