Fast Reordering of Data Frame Rows
A fast substitute for dplyr::arrange
. It returns a sorted copy of the data frame, unless the data is already sorted in which case no copy is made. In addition, rows can be manually re-ordered. Use data.table::setorder
to sort a data frame without creating a copy.
roworder(X, ..., na.last = TRUE) roworderv(X, cols = NULL, neworder = NULL, decreasing = FALSE, na.last = TRUE, pos = c("front","end","exchange"))
X |
a data frame or list of equal-length columns. |
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... |
comma-separated columns of |
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cols |
select columns to sort by using a function, column names, indices or a logical vector. The default |
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na.last |
logical. If |
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decreasing |
logical. Should the sort order be increasing or decreasing? Can also be a vector of length equal to the number of arguments in |
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neworder |
an ordering vector, can be |
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pos |
integer or character. Different arrangement options if
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A copy of X
with rows reordered. If X
is already sorted, X
is simply returned.
If you don't require a copy of the data, use data.table::setorder
(you can also use it in a piped call as it invisibly returns the data).
head(roworder(airquality, Month, -Ozone)) head(roworder(airquality, Month, -Ozone, na.last = NA)) # Removes the missing values in Ozone ## Same in standard evaluation head(roworderv(airquality, c("Month", "Ozone"), decreasing = c(FALSE, TRUE))) head(roworderv(airquality, c("Month", "Ozone"), decreasing = c(FALSE, TRUE), na.last = NA)) ## Custom reordering head(roworderv(mtcars, neworder = 3:4)) # Bring rows 3 and 4 to the front head(roworderv(mtcars, neworder = 3:4, pos = "end")) # Bring them to the end head(roworderv(mtcars, neworder = mtcars$vs == 1)) # Bring rows with vs == 1 to the top
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