Displaying 5 results from an estimated 5 matches for "vaggreg".
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2010 Sep 10
0
plyr: version 1.2
...0.020 0.011 1.038
This work has been generously supported by BD (Becton Dickinson).
MINOR CHANGES
* a*ply and m*ply gain an .expand argument that controls whether data frames
produce a single output dimension (one element for each row), or an output
dimension for each variable.
* new vaggregate (vector aggregate) function, which is equivalent to tapply,
but much faster (~ 10x), since it avoids copying the data.
* llply: for simple lists and vectors, with no progress bar, no extra info,
and no parallelisation, llply calls lapply directly to avoid all the
overhead associated with...
2010 Sep 10
0
plyr: version 1.2
...0.020 0.011 1.038
This work has been generously supported by BD (Becton Dickinson).
MINOR CHANGES
* a*ply and m*ply gain an .expand argument that controls whether data frames
produce a single output dimension (one element for each row), or an output
dimension for each variable.
* new vaggregate (vector aggregate) function, which is equivalent to tapply,
but much faster (~ 10x), since it avoids copying the data.
* llply: for simple lists and vectors, with no progress bar, no extra info,
and no parallelisation, llply calls lapply directly to avoid all the
overhead associated with...
2011 Apr 11
0
plyr: version 1.5
...es
missing factor levels
* `split_labels` correctly preserves empty factor levels, which means that
`drop = FALSE` should work in more places. Use `base::droplevels` to remove
levels that don't occur in the data, and `drop = T` to remove combinations
of levels that don't occur.
* `vaggregate` now passes `...` to the aggregation function when working out
the output type (thanks to bug report by Pavan Racherla)
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
_______________________________________________
R-packa...
2011 Apr 11
0
plyr: version 1.5
...es
missing factor levels
* `split_labels` correctly preserves empty factor levels, which means that
`drop = FALSE` should work in more places. Use `base::droplevels` to remove
levels that don't occur in the data, and `drop = T` to remove combinations
of levels that don't occur.
* `vaggregate` now passes `...` to the aggregation function when working out
the output type (thanks to bug report by Pavan Racherla)
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
_______________________________________________
R-packa...
2012 Jul 25
2
reshape -> reshape 2: function cast changed?
Hi,
I used to use reshape and moved to reshape2 (R 2.15.1). Now I tried some of my older scripts and was surprised that my cast function wasn't working like before.
What I did/want to do:
1) Melt a dataframe based on a vector specifying column names as measure.vars. Thats working so far:
dfm <- melt(df, measure.vars=n, variable_name = "species", na.rm = FALSE)
2) Recast the