rlang

来源： https://stackoverflow.com/questions/49941362/dplyr-rlang-parse-expr-with-multiple-expressions

来源： https://stackoverflow.com/questions/49941362/dplyr-rlang-parse-expr-with-multiple-expressions

来源： https://stackoverflow.com/questions/59206331/substitute-lhs-in-operator-with-rlang-tidyeval-inside-sys-setenv

来源： https://stackoverflow.com/questions/46439477/programmatic-regression-modelling-with-tidyeval

来源： https://stackoverflow.com/questions/62746607/r-how-to-check-that-a-custom-function-is-called-within-a-specific-function-from

来源： https://stackoverflow.com/questions/62746607/r-how-to-check-that-a-custom-function-is-called-within-a-specific-function-from

来源： https://stackoverflow.com/questions/45686250/pass-vector-of-column-names-to-paste-within-mutate-dplyr

来源： https://stackoverflow.com/questions/60012961/pass-named-parameters-to-function-that-calls-function-that-is-not-mutate

问题 The new curly curly method of tidy evaluation is explained in this article. Several examples are given demonstrating the use of this style of non-standard evaluation (NSE). library(tidyverse) # Example 1 -------------------------- max_by <- function(data, var, by) { data %>% group_by({{ by }}) %>% summarise(maximum = max({{ var }}, na.rm = TRUE)) } starwars %>% max_by(height) starwars %>% max_by(height, by = gender) # Example 2 -------------------------- summarise_by <- function(data, ..., by

问题 I'm working through the Hyndman fpp3 package based on this markdown document. https://github.com/robjhyndman/ISI_Workshop_2019/blob/master/5_reconciliation/reconciliation.Rmd I just couldn't find out why the following code fail to run PBS %>% aggregate_key(ATC1/ATC2, Scripts = sum(Scripts)) %>% filter(Month == yearmonth("1991 Jul")) %>% print(n=18) I keep receiving the following error each time I run the above. New names: * `` -> ...1 * `` -> ...2 * `` -> ...3 * `` -> ...4 * `` -> ...5 * ...