Rui Barradas wrote
>
> sorry about the misleading tip.
> This should do it.
>
> do.call(rbind, dep)
>
No problem at all.
That did the trick. Thank you both so much for your help. I am forever in
your debt.
--
View this message in context:
http://r.789695.n4.nabble.com/noob-requesting-help-
Hello,
Ok, sorry about the misleading tip.
This should do it.
do.call(rbind, dep)
Rui Barradas
Em 18-06-2012 13:32, capital_P escreveu:
Rui Barradas wrote
Try
names(departures) <- NULL
dep <- data.frame(departures[ !sapply(departures, is.null) ])
You now have data.frame 'dep'.
dep <
Rui Barradas wrote
>
> Try
>
> names(departures) <- NULL
> dep <- data.frame(departures[ !sapply(departures, is.null) ])
>
> You now have data.frame 'dep'.
>
dep <- data.frame(departures[ !sapply(departures, is.null) ])
Error in data.frame(`121.1` = list(device_info_serial = integer(0), hour
Hello,
Have you tried what I wrote in my last post?
Revised:
# Make a copy first, and operate on the copy.
dep <- departures
names(dep) <- NULL
dep <- data.frame(dep)
Rui Barradas
Em 18-06-2012 11:09, capital_P escreveu:
David Winsemius wrote
That's going to remove a lot of rows.
Since y
David Winsemius wrote
>
> That's going to remove a lot of rows.
>
> Since you are not telling us what columns correspond to those
> concepts, I'm going to use the terms you are. Something along the
> lines of:
>
> require(lattice)
> histogram( ~ hours | bird, data=dat2, nint =24 , xlim=c(0
On Jun 17, 2012, at 7:19 AM, capital_P wrote:
Rui Barradas wrote
It's stringsAsFactors = FALSE, just one '='.
sapply(dat, length)
It should return 4 times the value 34773.
use dput()
it worked!
dat2 <- data.frame(dat, stringsAsFactors = FALSE)
sapply(dat2, length)
device_info_ser
Hello,
Try
names(departures) <- NULL
dep <- data.frame(departures[ !sapply(departures, is.null) ])
You now have data.frame 'dep'.
Rui Barradas
Em 17-06-2012 12:19, capital_P escreveu:
Rui Barradas wrote
It's stringsAsFactors = FALSE, just one '='.
sapply(dat, length)
It should return 4
Rui Barradas wrote
>
> It's stringsAsFactors = FALSE, just one '='.
>
> sapply(dat, length)
>
> It should return 4 times the value 34773.
>
> use dput()
>
it worked!
> dat2 <- data.frame(dat, stringsAsFactors = FALSE)
> sapply(dat2, length)
device_info_serial hour
Hello,
It's stringsAsFactors = FALSE, just one '='.
Your data structure, a list, seems to have elements, vectors, of the
same lengths, all of them are of length 34773. You can check it with
sapply(dat, length)
It should return 4 times the value 34773. If so, there's no reason for
David's su
On Jun 16, 2012, at 1:56 PM, capital_P wrote:
>
> David Winsemius wrote
>>
>>> Try
>>>
>>> dat2 <- data.frame(do.call(cbind, dat), stringsAsFactors=FALSE)
>>
>> Use instead:
>>
>> dat2 <- data.frame( dat, stringsAsFactors=FALSE)
>>
>
> Both do not seem to work:
>
>> dat2 <- data.frame(d
David Winsemius wrote
>
>> Try
>>
>> dat2 <- data.frame(do.call(cbind, dat), stringsAsFactors=FALSE)
>
> Use instead:
>
> dat2 <- data.frame( dat, stringsAsFactors=FALSE)
>
Both do not seem to work:
> dat2 <- data.frame(do.call(cbind, dat), stringsAsFactors=FALSE)
Error: cannot allocate vect
Hello,
Thanks, I wasn't really liking it very much but it more of a diffuse
feeling than of a founded thought. It's good to see an example.
Rui Barradas
Em 14-06-2012 14:22, David Winsemius escreveu:
On Jun 14, 2012, at 3:20 AM, Rui Barradas wrote:
Hello,
Now the output of str() says 'da
On Jun 14, 2012, at 3:20 AM, Rui Barradas wrote:
Hello,
Now the output of str() says 'dat' is a list not a data.frame.
That's why R is complaining about dimensions (lack of, in this case).
Try
dat2 <- data.frame(do.call(cbind, dat), stringsAsFactors=FALSE)
The construction data.frame(cb
Hello,
Now the output of str() says 'dat' is a list not a data.frame. That's
why R is complaining about dimensions (lack of, in this case).
Try
dat2 <- data.frame(do.call(cbind, dat), stringsAsFactors=FALSE)
Then run the lapply()
Also, if dput(head(dat, 20)) is very big, ommit the argument
Rui Barradas wrote
>
> Sorry, but the output of dput() starts with 'structure', not like what
> you've posted.
> And there are much more than 20 dates in the beginning.
>
> The posting guide is easy to find
>
apologies for my earlier ignorance.
It seems the output of dput(head(data, 20) is t
Hello,
Try something along the lines of
res <- lapply(split(dat, list(dat$id, dat$trip)), function(x) x[x$time
== min(x$time), ])
do.call(rbind, res)
Note that 'data' is an R function, so I've called it 'dat'.
And that the column names are not exactly the same.
Also, you should follow the
16 matches
Mail list logo
