Displaying 20 results from an estimated 3000 matches similar to: "plyr 1.4"
2011 Dec 30
0
Plyr 1.7
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2011 Dec 30
0
Plyr 1.7
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2011 Jul 30
0
plyr version 1.6
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2011 Jul 30
0
plyr version 1.6
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2010 Sep 10
0
plyr: version 1.2
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations
2010 Sep 10
0
plyr: version 1.2
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations
2011 Apr 11
0
plyr: version 1.5
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2011 Apr 11
0
plyr: version 1.5
# plyr
plyr is a set of tools for a common set of problems: you need to
__split__ up a big data structure into homogeneous pieces, __apply__ a
function to each piece and then __combine__ all the results back
together. For example, you might want to:
* fit the same model each patient subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise
2008 Sep 30
0
New package: plyr
plyr is a set of tools that solves a common set of problems: you need
to break a big problem down into manageable pieces, operate on each
pieces and then put all the pieces back together. It's already
possible to do this with split and the apply functions, but plyr just
makes it all a bit easier with:
* consistent names, arguments and outputs
* input from and output to data.frames,
2008 Sep 30
0
New package: plyr
plyr is a set of tools that solves a common set of problems: you need
to break a big problem down into manageable pieces, operate on each
pieces and then put all the pieces back together. It's already
possible to do this with split and the apply functions, but plyr just
makes it all a bit easier with:
* consistent names, arguments and outputs
* input from and output to data.frames,
2010 Jul 27
0
plyr version 1.1
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
2010 Jul 27
0
plyr version 1.1
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
2009 Jun 23
0
plyr 0.1.9
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
*
2009 Jun 23
0
plyr 0.1.9
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
*
2009 Apr 15
0
plyr version 0.1.7
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
*
2009 Apr 15
0
plyr version 0.1.7
plyr is a set of tools for a common set of problems: you need to break
down a big data structure into manageable pieces, operate on each
piece and then put all the pieces back together. For example, you
might want to:
* fit the same model to subsets of a data frame
* quickly calculate summary statistics for each group
* perform group-wise transformations like scaling or standardising
*
2012 Jan 12
1
parallel computation in plyr 1.7
Dear all,
I have a question regarding the possibility of parallel computation in plyr
version 1.7.
The help files of the following functions mention the argument '.parallel':
ddply, aaply, llply, daply, adply, dlply, alply, ldply, laply
However, the help files of the following functions do not mention this
argument: ?d_ply, ?aply, ?lply
Is it because parallel computation is not
2013 Aug 30
0
ddply for comparing simulation results
This might do it:
> lhs=c('a','a','a','b')
> rhs=c('a','b','b','b')
>
>
> # function to determine differences
> f_diff <- function(l, r){
+ t_l <- table(l)
+ t_r <- table(r)
+ # compare 'l' to 'r'
+ sapply(names(t_l), function(x){
+ if (is.na(t_r[x])) return(t_l[x])
2011 Aug 24
3
ddply from plyr package - any alternatives?
Hello everyone,
I was asked to repost this again, sorry for any inconvenience.
I'm looking replacement for ddply function from plyr package.
Function allows to apply function by category stored in any column/columns.
Regular loops or lapplys slow down greatly because my unique combination
count exceeds 9000. Is there any available solution which allow me to apply
function by category?
2010 Nov 16
1
Batch Processing Files
Hi All!
I have some experience with R, but less experience writing scripts using
R and have run into a challenge that I hope someone can help me with.
I have multiple .csv files of data each with the same 3 columns of
data, but potentially of varying lengths (some data files are from short
measurements, others from longer ones). One file for example might look
like this...
Time, O2_conc,