Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 26 found.
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%>% (Package: tidyr) : Pipe operator

See %>% for more details.
● Data Source: CranContrib
● Keywords: internal
● Alias: %>%
● 0 images

complete (Package: tidyr) : Complete a data frame with missing combinations of data.

Turns implicit missing values into explicit missing values. This is a wrapper around expand(), left_join() and replace_na that's useful for completing missing combinations of data.
● Data Source: CranContrib
● Keywords:
● Alias: complete
● 0 images

unnest_ (Package: tidyr) : Standard-evaluation version of code{unnest

This is a S3 generic.
● Data Source: CranContrib
● Keywords: internal
● Alias: unnest_
● 0 images

extract_ (Package: tidyr) : Standard-evaluation version of code{extract

This is a S3 generic.
● Data Source: CranContrib
● Keywords: internal
● Alias: extract_
● 0 images

separate_ (Package: tidyr) : Standard-evaluation version of code{separate

This is a S3 generic.
● Data Source: CranContrib
● Keywords: internal
● Alias: separate_
● 0 images

nest (Package: tidyr) : Nest repeated values in a list-variable.

There are many possible ways one could choose to nest columns inside a data frame. nest() creates a list of data frames containing all the nested variables: this seems to be the most useful form in practice.
● Data Source: CranContrib
● Keywords:
● Alias: nest
● 0 images

complete_ (Package: tidyr) : Standard-evaluation version of code{complete

This is a S3 generic.
● Data Source: CranContrib
● Keywords: internal
● Alias: complete_
● 0 images

nest_ (Package: tidyr) : Standard-evaluation version of code{nest

This is a S3 generic.
● Data Source: CranContrib
● Keywords: internal
● Alias: nest_
● 0 images

replace_na (Package: tidyr) : Replace missing values

Replace missing values
● Data Source: CranContrib
● Keywords:
● Alias: replace_na
● 0 images

extract_numeric (Package: tidyr) : Extract numeric component of variable.

This uses a regular expression to strip all non-numeric character from a string and then coerces the result to a number. This is useful for strings that are numbers with extra formatting (e.g. $1,200.34).
● Data Source: CranContrib
● Keywords:
● Alias: extract_numeric
● 0 images