In case (b), dplyr's syntax is relatively straightforward. Improving aggregations/updates on multiple functions is on data.table's list. In case (c) though, dplyr would return n() as many times as many columns, instead of just once. In data.table, all we need to do is...
7unique =n_distinct(ip_id),8countries =n_distinct(country),9avg_bytes =mean(size)10) %>%11filter(countries > 60) %>%12arrange(desc(countries), avg_bytes)1314#Print result to console15print(result3)
group_by(g) %>%reframe(x = intersect(x, table))#> # A tibble: 5 × 2#> g x#> <dbl> <chr>#> 1 1 a#> 2 1 b#> 3 2 f#> 4 2 d#> 5 2 a# You can add multiple columns at once using a single expression by returning# a data frame.quantile_df <-function(x, probs ...
arrange()进行排序 arrange()函数是用来排序的,根据某一列进行排序。 starwars %>% arrange(height, mass) ## # A tibble: 87 x 14 ## name height mass hair_color skin_color eye_color birth_year sex gender ## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr> ## 1 Yoda 66...
How can I represent one column's values using multiple columns in R where one new column is conditional? Looking at similar questions, I could not find one that matched my need. If one does contain a solution, please share its link....
我们的平均生产环境由许多不同的服务（许多微服务，存储系统等）组成，具有不同的部署和生产维护周期。在...
In case (b), dplyr's syntax is relatively straightforward. Improving aggregations/updates on multiple functions is on data.table's list. In case (c) though, dplyr would return n() as many times as many columns, instead of just once. In data.table, all we need to do is to return a...
其他单表动词:arrange()、filter()、reframe()、rename()、select()、slice()、summarise() 例子 # Newly created variables are available immediatelystarwars %>% select(name, mass) %>%mutate( mass2 = mass *2, mass2_squared = mass2 * mass2 ...
arrange(flights, desc(arr_delay)) df <- tibble(x = c(5, 2, NA)) arrange(df, x) #缺失值排到最后 arrange(df, desc(x)) Select Columns with select() 按列选择select(flights, year, month, day) select(flights, year:day) select(flights, -(year:day)) select(flights, ends_with("y"...
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