![]() Values in data were created by its structure. To implicit missing values, and should generally be used only when missing This effectively converts explicit missing values If TRUE, will drop rows that contain only NAs value sentinel, this value will be ignored,Īnd the name of the value column will be derived from part of the If names_to is a characterĬontaining the special. See vctrs::vec_as_names()Ī string specifying the name of the column to createįrom the data stored in cell values. Use "minimal" to allow duplicates in the output, or "unique" toĭe-duplicated by adding numeric suffixes. The default, "check_unique" is to error if the columns are duplicated. What happens if the output has invalid column names? Will be the common type of the input columns used to generate them. If not specified, the type of the columns generated from names_to willīe character, and the type of the variables generated from values_to For example, names_transform = list(week = as.integer) would convert a character variable called week Use these arguments if you need toĬhange the types of specific columns. Alternatively, a single function can be supplied, You should use names_transform or values_transform instead. If you want to change (instead of confirm) the types of specific columns, Use these arguments if you want toĬonfirm that the created columns are the types that you expect. Zero-length vector (like integer() or numeric()) that defines the type,Ĭlass, and attributes of a vector. Alternatively, a single empty prototype can be supplied, which willīe applied to all columns. Optionally, a list of column name-prototype Pivot_longer_spec() to create a spec object and process manually as If these arguments do not give you enough control, use Names_pattern takes the same specification as extract(), a regularĮxpression containing matching groups ( ()). (specifying a regular expression to split on). Names_sep takes the same specification as separate(), and can eitherīe a numeric vector (specifying positions to break on), or a single string These arguments control how the column name is broken up. Name defines the name of the output column containing the cell values,Ī regular expression used to remove matching textįrom the start of each variable name. ".value" indicates that the corresponding component of the column NA will discard the corresponding component of the column name. Names_sep or names_pattern must be supplied to specify how theĬolumn names should be split. If length >1, multiple columns will be created. If length 1, a single column will be created which will contain the ![]() If length 0, or if NULL is supplied, no columns will be created. This often produces intuitively ordered output when you utilizeĪll of the columns from data in the pivoting process.Ī character vector specifying the new column or columns toĬreate from the information stored in the column names of data specified "slowest" keeps individual columns from cols close together in the When you have at least one key column from data that is not involved in This often produces intuitively ordered output "fastest", the default, keeps individual rows from cols close Output rows be arranged relative to their original row number? When pivoting cols into longer format, how should the ![]() Additional arguments passed on to methods.
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