search for: vaggregate

Displaying 5 results from an estimated 5 matches for "vaggregate".

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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 tho...
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 tho...
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-packages...
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-packages...
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