"January","December")) select(filter(df,date%in%c("January","Monday")),c(date,prep)) 输出: date prep 1Monday12 2January14 注:本文由VeryToolz翻译自Filter multiple values on a string column in R using Dplyr,非经特殊声明,文中代码和图片版权归原作者sudhanshublaze所有,本译文的传播和使用请遵...
filter()picks cases based on their values. 根据变量的值提取 summarise()reduces multiple values down to a single summary. 精简多个变量到单个的总结 arrange()changes the ordering of the rows. 改变行的顺序 以上函数都可结合group_by,允许分组操作。更多的学习日志可通过vignette("dplyr")查看。除了这些单...
dplyr包是哈德利开发的最核心作品之一,主要针对数据的清洗,其六个最重要的函数是: #filter(): Pick observations by their values #arrange(): Reorder the rows #select(): Pick variables by their names #mutate(): Creat new variables with functions of existing variables #summarise(): Collapse many value...
filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows. These all combine naturally with group_by() which allows you to perform any operation "by group". You can learn more about them in vignette...
filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows.These all combine naturally with group_by() which allows you to perform any operation "by group". You can learn more about them in vignette...
filter() picks cases based on their values. summarise() reduces multiple values down to a single summary. arrange() changes the ordering of the rows. These all combine naturally with group_by() which allows you to perform any operation “by group”. You can learn more about them in vignet...
filter(tbl, color == "blue") ## A tibble: 3 × 2 # color value # <fctr> <int> # 1 blue 1 # 2 blue 3 # 3 blue 4 # filter value in 1 or 4 filter(tbl, value %in% c(1,4)) # A tibble: 2 × 2 # color value
问文件上载后，闪亮的dplyr过滤器不起作用EN我正在构建一个闪亮的应用程序，允许我的一些非数据人员上传...
- filter - select - arrange - mutate - summarise - group_by (plus) 可以和databases以及data tables中的数据打交道。 plyr包的特点 其基础函数有以下特点: 第一个参数df 返回df 没有数据更改in place 正是因为有这些特点,才可以使用%>%操作符,方便逻辑式编程。
Pipe operator lets us wrap multiple functions together. It is denoted as %>% . It can be used with functions like filter(), select(), arrange(), summarise(), group_by(), etc. For example: #To get rows with the following conditions iris %>% filter(Species == "setosa",Sepal.Width ...