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(UniqueCarrier,D...
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....
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表示从disp列选到wt列 1.5 变形 mutate():对...
arrange(de_test,logFC)#default is descending order gene_id logFC pvalue FDR 1 gene4 -3.0 0.002 0.0030 2 gene5 -0.4 0.004 0.0048 3 gene2 1.0 0.300 0.3800 4 gene3 2.0 0.002 0.0025 5 gene1 3.0 0.010 0.0300arrange(de_test,desc(logFC))#ascending order gene_id logFC pvalue FDR 1 gene...
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 ...
count the total number of flights and sort in descending order flights %>% group_by(Month, DayofMonth) %>% summarise(flight_count = n()) %>% arrange(desc(flight_count)) # rewrite more simply with the `tally` function flights %>% group_by(Month, DayofMonth) %>% tally(sort = TRUE...
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) ...
(number_of_rooms) # Sort rows by values in a column in descending order airbnb_listings %>% arrange(desc(city)) # Remove duplicate rows in all the dataset airbnb_listings %>% distinct() # Find unique values in the country column airbnb_listings %>% distinct(country) # Select rows ...
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 first install the dplyr package using...