%>%
(Package: tidyr) :
Pipe operator
See %>% for more details.
● Data Source:
CranContrib
● Keywords: internal
● Alias: %>%
●
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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
●
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unnest_
(Package: tidyr) :
Standard-evaluation version of code{unnest
This is a S3 generic.
● Data Source:
CranContrib
● Keywords: internal
● Alias: unnest_
●
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extract_
(Package: tidyr) :
Standard-evaluation version of code{extract
This is a S3 generic.
● Data Source:
CranContrib
● Keywords: internal
● Alias: extract_
●
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separate_
(Package: tidyr) :
Standard-evaluation version of code{separate
This is a S3 generic.
● Data Source:
CranContrib
● Keywords: internal
● Alias: separate_
●
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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
●
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complete_
(Package: tidyr) :
Standard-evaluation version of code{complete
This is a S3 generic.
● Data Source:
CranContrib
● Keywords: internal
● Alias: complete_
●
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nest_
(Package: tidyr) :
Standard-evaluation version of code{nest
This is a S3 generic.
● Data Source:
CranContrib
● Keywords: internal
● Alias: nest_
●
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replace_na
(Package: tidyr) :
Replace missing values
Replace missing values
● Data Source:
CranContrib
● Keywords:
● Alias: replace_na
●
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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
●
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