
DPLYR . TIDYVERSE . ORG {
}
Title:
Filtering joins โ filter-joins โข dplyr
Description:
Filtering joins filter rows from x based on the presence or absence of matches in y: semi_join() return all rows from x with a match in y. anti_join() return all rows from x without a match in y.
Website Age:
8 years and 10 months (reg. 2016-08-23).
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Keywords {๐}
joins, join, match, methods, copy, variables, chr, null, data, joinby, rows, false, dataframe, tibble, names, values, beatles, dplyr, filtering, namatches, arguments, dbplyr, specification, character, vector, perform, message, joinbya, variable, crossjoin, nan, bandmembers, joining, joinbyname, band, source, semijoin, return, antijoin, usage, semijoinx, method, class, cna, antijoinx, frames, frame, details, default, suppress,
Topics {โ๏ธ}
potentially expensive operation simple equality joins named character vector lazy data frames variable names differ page usage arguments data frame extensions data frame attributes join specification created nan values match data source frame' anti_join character vector data frames variable names nan values usage semi_join column names class 'data multiple expressions overlap joins parameters passed database sources provide implementations extra arguments mutate-joins good practice production code hadley wickham romain franรงois lionel henry kirill mรผller davis vaughan site built frame' semi_join copy = false natural join cross-join join tables loaded packages examples developed content dplyr 1 message lists multiple variables perform inequality incomparables = na individual methods filtering anti_join joining variables
Questions {โ}
- See the documentation at ?
- Should two NA or two NaN values match?
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