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ldply function - RDocumentation
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R is great programming language when it comes to manipulating data. That is one of the reasons it is so loved by data scientists and statisticians. Being an open source project, R also has the advantage of lots of additional packages that add even more functionality to the language. The package I am focusing on…
ldply : Split list, apply function, and return results in a data...
ldply. Split list, apply function, and return results in a data frame.
R: laply and ldply from plyr package - Analytics4All
First, the base function split lets us break the data into subsets based on the values of a variable, which in this case is our group variable. The output of this function is a list of data frames, one for each group. Second, we use map to apply a function to each element of that list. The function is the same modelling function that we used ...
What is the dplyr equivalent of plyr::ldply (tapply) in R?
For each subset of a data frame, apply function then combine results into a data frame. To apply a function for each row, use adply with .margins set to 1 .
plyr: ldply - R documentation - Quantargo
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dlply function - RDocumentation
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.
plyr source: R/ldply.r - R Package Documentation
For each subset of a data frame, apply function then combine results into a list. dlply is similar to by except that the results are returned in a different format. To apply a function for each row, use alply with .margins set to 1.
"Results do not have equal lengths" using ldply in R package plyr
I am trying to write some R code which will take the iris dataset and do a log transform of the numeric columns as per some criterion, say if skewness > 0.2. I have tried to use ldply, but it doesn't