filter_values <- function(name, value){ mtcars %>% filter(UQ(rlang::sym(name)) != value) } filter_values('gear', 4) 或arrange: 1 2 3 4 5 6 ## transform a variable and then sort by it arrange_values <- function(nam
UseGalaxy.cn生信云|零代码使用Tiverse优雅地处理数据集 Dplyr Count the observations count 函数用于统计数据框中各个组的频数,可以对指定变量进行计数,得到每个类别的观测数目,支持根据需要对结果进行排序。...Dplyr Join with one varibale 同上。区别在于只用一个变量连接两个表。...Dplyr Mutate create, modify...
you’ve been using them without knowing how they work, or what the alternatives are. Now, in this chapter, it’s time to explore the pipe in more detail. You’ll learn the alternatives to the pipe, when you shouldn’t use the pipe, and some useful related tools. ...
因为它是必不可TypeScript 是一门基于 JavaScript 拓展的语言，它是 JavaScript 的超集，并且给 JavaScrip...
In addition, you can use selection helpers such as: everything(): Matches all variables. last_col(): Select last variable, possibly with an offset. These helpers select variables based on their names: starts_with(): Starts with a prefix. ...
In addition, you can use selection helpers such as: everything(): Matches all variables. last_col(): Select last variable, possibly with an offset. These helpers select variables based on their names: starts_with(): Starts with a prefix. ...
Error in mutate_impl(.data, dots) : attempt to use zero-length variable name Member romainfrancoiscommentedNov 30, 2014 Contributor sfirkecommentedJul 28, 2015 I just ran into the same issue as@bramtayl, calling mutate on a data.frame with an empty-named variable. I negative-selected that...
I would like to move to more uniform implementation of dplyr memes; I really like the syntax. However, I am seeing several instances where dplyr analogues to plyr or base-R functions incur a severe performance hit on my data sets. Here i...
官方解释: use to calculate new columns while dropping other columns counties%>%# Keep the state, county, and populations columns, and add a density columntransmute(state,county,population,density=population/land_area)%>%# Filter for counties with a population greater than one millionfilter(populati...
Here, the!!symbol is a special operator that means to get the column name from the variable to its right. The verbs in dplyr 0.7 understand the special rules for working with quoted symbols introduced in the new framework. The same code also works in dplyrXdf 0.10: ...