In this R dplyr article, I have explained what is arrange function is, how to use it to order dataframe rows in ascending or descending by column values, and finally order multiple columns. Related Articles Sort or Order List in R?
听起来像是anti_join()，例如。
使用rowSums对每行求和（rowwise适用于任何聚合，但速度较慢）
它可以基于指定的列对数据框进行去重操作,确保每个观测都是唯一的。...Dplyr Mutate create, modify, and delete columns mutate 函数用于添加新变量或修改现有变量,能够基于已有数据创建新的变量列,支持对数据框进行实时的变量操作和修改...Tidyr Pivot Longer from wide pivot_longer 函数用于将宽格式数据转换为长...
list columns motivation subsetting modeling repeated function calls simulations multiple combinations varying functions dplyr介绍 tidyverse系列应该算是R语言数据分析中的瑞士军刀了,统一的格式,简洁的代码,管道符便于阅读的形式,都能让大家快速上手。R数据科学就是专门讲这个系列的,但是对于很多函数的用法和细节问题,...
Clearer across() documentation for multiple .fns documentation each-col ↔️ #6205 opened on Mar 4 by KingAl Dedicated function for selecting from current data [FR] feature #6204 opened on Mar 3 by mikkmart 1 Error message for select() when column doesn't exist columns ↔️ ...
summarise_each() and mutate_each() make it easy to apply one or more functions to multiple columns in a tbl (#178).Minor improvementsIf you load plyr after dplyr, you'll get a message suggesting that you load plyr first (#347). as.tbl_cube() gains a method for matrices (#359, @...
summarise_eachSummariseandmutatemultiplecolumns. Description Applyoneormorefunctionstooneormorecolumns.Groupingvariablesarealwaycludedfrom modification. Usage summarise_each(tbl,funs,...) summarise_each_(tbl,funs,vars) summarize_each(tbl,funs,...) summarize_each_(tbl,funs,vars) mutate_each(tbl,funs...
pick columns by name # base R approach to select DepTime, ArrTime, and FlightNum columnsflights[,c("DepTime","ArrTime","FlightNum")]# dplyr approachselect(flights,DepTime,ArrTime,FlightNum)# use colon to select multiple contiguous columns, and use `contains` to match columns by name# note...
# group by single columnssurveys%>%group_by(sex)%>%summarize(mean_weight=mean(weight,na.rm=TRUE))# group by multiple columnssurveys_test<-surveys%>%filter(!is.na(weight))%>%group_by(sex,species_id)%>%summarize(mean_weight=mean(weight))%>%print(n=15)View(surveys_test)# summarize mul...