2. R arrange() Ascending Order Thearrange()function in R, provided by the dplyr package, sorts the rows of a data frame by the values of specified columns. By default, it sorts in ascending order, but it can also sort in descending order. To use thearrange()function, you need to fir...
arrange(mtcars_df, cyl, desc(carb))# 先对cyl列正序排列,再对carb列倒序排列,descending order倒序排列 select(mtcars_df, mpg, disp:wt, carb) # disp:wt表示从disp列选到wt列 mutate(mtcars_df, NO = 1:dim(mtcars_df)[1], res = hp - drat) summarise(mtcars_df, mdisp = mean(disp, na....
filter(longdata,"mpg"==21,"cyl"==6) 1.3 排列数据 arrange():按给定的列名依次对行进行排序 arrange(mtcars_df, cyl, desc(carb))# 先对cyl列正序排列,再对carb列倒序排列,descending order倒序排列 1.4 选择子集 select():用列名作参数来选择子数据集 select(mtcars_df,mpg,disp:wt,carb)# disp:wt表...
用select()选择变量 用select()选择变量,并用arrange()根据某变量进行排序。 counties%>%# Select state, county, population, and industry-related columnsselect(state,county,population,professional,service,office,construction,production)%>%# Arrange service in descending orderarrange(desc(service))# A tibble...
arrange(mtcars_df, cyl, desc(carb))# 先对cyl列正序排列,再对carb列倒序排列,descending order倒序排列 1.4 选择子集 select():用列名作参数来选择子数据集 select(mtcars_df, mpg, disp:wt, carb) # disp:wt表示从disp列选到wt列 1.5 变形 mutate():对已有列进行数据运算并添加为新列 ...
arrange reorder rows # base R approach to select UniqueCarrier and DepDelay columns and sort by DepDelayflights[order(flights$DepDelay),c("UniqueCarrier","DepDelay")]# dplyr approachflights%>%select(UniqueCarrier,DepDelay)%>%arrange(DepDelay)# use `desc` for descendingflights%>%select(Unique...
筛选和排序组合使用: >library(gapminder)>library(dplyr)>># Filter for the year 1957, then arrange in descending order of population>gapminder%>%filter(year==1957)%>%arrange(desc(pop))A tibble:142x6countrycontinentyearlifeExppopgdpPercap<fct><fct><int><dbl><int><dbl>1ChinaAsia195750.5637408000...
all.equal(mtcars_df,scramble(mtcars_df),ignore_col_order=FALSE) all.equal(mtcars_df,scramble(mtcars_df),ignore_row_order=FALSE) arrange5 arrangeArrangerowsbyvariables. Description Usedesctosortavariableindescendingorder. Usage arrange(.data,...) arrange_(.data,...,.dots) Arguments .dataAtbl....
descending order, and only look at the locations that had at least 10 dropoffs and pickups.```r filter(arrange(summarise(group_by(taxi_df, pickup_nhood, dropoff_nhood), Num = n(), ave_tip_pct = mean(tip_pct)), desc(ave_tip_pct)), Num >= 10) ...
Arrange() It is used to sort rows by variables in both an ascending and descending order. For example: #To arrange Sepal Width in ascending order arranged <- arrange(col1, Sepal.Width) head(arranged) #To arrange Sepal Width in descending order arranged <- arrange(col1, desc(Sepal.Width)...