Question

这是这个问题的后续行动：

Dataframe Aggregation By Group - Separating a Column's Values by Ranges

提供的答案使用Hmisc::cut2，效果很好！我想修改休息时间，而不是突破$ 1，它会突破$ 0.50。

以下是为答案提供的代码：

library(Hmisc)
library(dplyr)

df$cut_Price <- cut2(df$Price, cuts = 4:13)

df %>% group_by(cut_Price, Size, Type) %>%
    summarise_at(c("Opps", "NumberofSales", "Revenue"),"sum") %>%
    arrange(Size, cut_Price) %>% ungroup() %>%
    mutate(cut_Price = gsub("(.*, \\d\\.)00", "\\199", cut_Price))

 # A tibble: 16 × 6
       cut_Price   Size    Type    Opps NumberofSales  Revenue
           <chr> <fctr>  <fctr>   <dbl>         <dbl>    <dbl>
1  [ 5.00, 6.99)  LARGE desktop  477870        342455  2037.67
2  [ 6.00, 7.99)  LARGE desktop  842882        523309  3292.29
3  [ 7.00, 8.99)  LARGE desktop  283107        149878  1189.56
4  [10.00,11.00)  LARGE desktop 5506835       1179544 12674.17
5  [11.00,12.00)  LARGE desktop 3542187       1521347 17342.81
6  [ 3.63, 4.99) MEDIUM desktop 6038044       5129937 18617.94
7  [ 5.00, 6.99) MEDIUM desktop 2558997        478423  2548.95
8  [ 7.00, 8.99) MEDIUM desktop 1071631        352294  2483.10
9  [ 9.00,10.00) MEDIUM desktop 2510873        861183  8428.70
10 [10.00,11.00) MEDIUM desktop  441354        215643  2322.70
11 [11.00,12.00) MEDIUM desktop 5144351       1954720 22138.16
12 [ 3.63, 4.99)  SMALL desktop  801038        587541  2145.76
13 [ 4.00, 5.99)  SMALL desktop  939806        303515  1214.60
14 [ 5.00, 6.99)  SMALL desktop 8303927       2143565 11902.14
15 [10.00,11.00)  SMALL desktop  920975        321515  3284.54
16 [11.00,12.00)  SMALL desktop  181471        236643  2811.50

任何帮助都会很棒，谢谢！

Answer 1

您需要传递HomePage所需的中断向量，您可以使用cut2创建：

seq

如果您希望每个值都有行，则可以使用library(tidyverse) df %>% group_by(Size, cut_Price = Hmisc::cut2(Price, cuts = seq(4, 13, .5)), Type) %>% summarise_at(c("Opps", "NumberofSales", "Revenue"), sum) ## Source: local data frame [18 x 6] ## Groups: Size, cut_Price [?] ## ## Size cut_Price Type Opps NumberofSales Revenue ## <fctr> <fctr> <fctr> <dbl> <dbl> <dbl> ## 1 LARGE [ 5.50, 6.00) desktop 477870 342455 2037.67 ## 2 LARGE [ 6.00, 6.50) desktop 842882 523309 3292.29 ## 3 LARGE [ 7.50, 8.00) desktop 283107 149878 1189.56 ## 4 LARGE [10.00,10.50) desktop 928563 209218 2138.41 ## 5 LARGE [10.50,11.00) desktop 4578272 970326 10535.76 ## 6 LARGE [11.00,11.50) desktop 3542187 1521347 17342.81 ## 7 MEDIUM [ 3.63, 4.00) desktop 6038044 5129937 18617.94 ## 8 MEDIUM [ 5.00, 5.50) desktop 2558997 478423 2548.95 ## 9 MEDIUM [ 7.00, 7.50) desktop 1071631 352294 2483.10 ## 10 MEDIUM [ 9.50,10.00) desktop 2510873 861183 8428.70 ## 11 MEDIUM [10.50,11.00) desktop 441354 215643 2322.70 ## 12 MEDIUM [11.00,11.50) desktop 5144351 1954720 22138.16 ## 13 SMALL [ 3.63, 4.00) desktop 801038 587541 2145.76 ## 14 SMALL [ 4.00, 4.50) desktop 939806 303515 1214.60 ## 15 SMALL [ 5.00, 5.50) desktop 849537 340580 1837.93 ## 16 SMALL [ 5.50, 6.00) desktop 7454390 1802985 10064.21 ## 17 SMALL [10.00,10.50) desktop 920975 321515 3284.54 ## 18 SMALL [11.50,12.00) desktop 181471 236643 2811.50。除非您在tidyr::complete的{{1}}参数中另行指定，否则空值将为NA。

complete

修改Hmisc包中cut2函数的中断

1 个答案: