| bestBy | R Documentation | 
Finding the an extreme record for each group within a dataset is a more challenging routine task in R and SQL. This function provides a easy interface to that functionality either using R (fast for small data frames) or SQL (fastest for large data)
bestBy(df, by, best, clmns=names(df), inverse=FALSE, sql=FALSE)
| df | a data frame. | 
| by | the factor (or name of a factor in df) used to determine the grouping. | 
| clmns | the colums to include in the output. | 
| best | the column to sort on (both globally and for each sub/group) | 
| inverse | the sorting order of the sort column as specified by 'best' | 
| sql | whether or not to use SQLite to perform the operation. | 
A data frame of 'best' records from each factor level
David Schruth
groupBy
blast.results <- data.frame(score=c(1,2,34,4,5,3,23), 
                            query=c('z','x','y','z','x','y','z'), 
                            target=c('a','b','c','d','e','f','g')
                            )
best.hits.R <- bestBy(blast.results, by='query', best='score', inverse=TRUE)
best.hits.R
## or using SQLite
best.hits.sql <- bestBy(blast.results, by='query', best='score', inverse=TRUE, sql=TRUE)
best.hits.sql
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