This is a faster and more concise equivalent of length(unique(x)), Efficiently count the number of unique values in a set of vector. Source: R/distinct.R. n_distinct.Rd. This is a faster and more concise equivalent of length (unique (x)) n_distinct(…
na.rm = FALSE), 2/2/2021 · n_distinct: Efficiently count the number of unique values in a set of… in dplyr: A Grammar of Data Manipulation. n_distinct: Efficiently count the number of unique values in a set of… In dplyr: A Grammar of Data Manipulation. Description Usage Arguments Examples. View source: R/distinct.R.
Using dplyr to summarise a dataset, I want to call n_distinct to count the number of unique occurrences in a column. However, I also want to do another summarise() for all unique occurrences in a column where a condition in another column is satisfied.
7/21/2018 · dbplyr: n_distinct translation does not handle na. rm tidyverse/dplyr#3720. Closed. hadley added feature func trans verb trans and removed func trans labels on Jan 2, 2019. hadley added this to the v1.4.0 milestone on Jan 10, 2019. hadley closed this in 1b58b68 on Jan 10, 2019.
n_distinct: Returns the number of distinct items in a group. collect_list: Creates a list of objects with duplicates. Note: the function is non-deterministic because the order of collected results depends on order of rows which may be non-deterministic after a shuffle. collect_set: Creates a list of objects with duplicate elements eliminated …
5/19/2019 · summarise(distinct_IPC_count = n_distinct(Value, na. rm = TRUE)) Each IPC code in the different columns is formatted like H01B11/11. The next step of my research requires me to know how many unique codes there are in the multiple columns sorted per the first letter of the IPC code, so in this case the amount of unique IPC codes beginning with …
Alternatively, n_distinct from dplyr has an na_rm argument: library(dplyr) n_distinct(x, na.rm = TRUE), My problem is that the base function (names()) requires the y argument (the variable name) to be given with quotation marks, but the dplyr function n_distinct needs to be simply so without quotation marks to give the right answer with na.rm =TRUE (if I use n_distinct (x[y], na.rm =TRUE) it doesn’t give me a result without NA values).
n_distinct : Returns the number of distinct items in a group. collect_list: Creates a list of objects with duplicates. Note: the function is non-deterministic because the order of collected results depends on the order of the rows which may be non-deterministic after a shuffle. collect_set: Creates a list of objects with duplicate elements …
