> On Apr 17, 2018, at 10:10 AM, Allaisone 1 <allaiso...@hotmail.com> wrote:
> 
> 
> Hi all
> 
> I have a list of multiple datframes with the same column headers. The last 
> column in each datframe contains a vector of "Interval" class after I have 
> produced this column using "lubridate" package. I needed to convert my list 
> of dataframes to be in a single dataframe for further analysis. I did this 
> using the following syntax :
> 
> SingleDataframe <- ldply (MylistofDFs,data.frame)
> 
> The problem is that after this conversion, the the column with time intervals 
> has been converted into numeric type with number of seconds during the time 
> interval instead of the interval itself as follows :
> 
> The column Before conversion looks like this:
> 
> TimeInterval (class 'interval')
> 2012-12-13 UTC--2016-02-16 UTC
> 
> but after conversion the list into dataframe,
> This column becomes number of seconds as follows :
> 
> TimeInterval (class : numeric)
> 100224000
> 
> Is there any method to convert my list into a a single dataframe without 
> affecting the types of
> vectors in my dataframes?. i.e. I want to keep the interval column as it with 
> avoidance its conversion into numeric when I convert my list of dataframes 
> into a single dataframe... Or at least keep the same format of the interval 
> even if this has been changed to "character" type vector even though I prefer 
> to be in "interval" class.

There is no base R class called "interval". Perhaps lubridate has not provided 
you with an `ldply( . ,data.frame)`-accessible method for concatenation. You 
should construct an example that starts with the loading code for whatever 
package(s) are being used.


> 
> Any suggestions would be very appreciated.
> 
> Regards
> 
>       [[alternative HTML version deleted]]
> 

You should also read the Posting Guide.


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David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   
-Gehm's Corollary to Clarke's Third Law

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