将逗号类分配给数据框中的多个列

Question

我有data.frame几个数字列,我想分配"逗号"类.这是需要的,因为我有一个中央数据框,我使用Openxlsx包过滤并保存到Excel.并且需要逗号类,以便数据在excel中以逗号格式显示

这是数据帧:

set.seed(10)
df_central_database <- data.frame(Category = as.character(sample(words[1:10], size = 50, replace = TRUE)) ,
           Summ_Income =sample(1000:10000, size = 50, replace = TRUE),
           Summ_Securities =sample(1000:10000, size = 50, replace = TRUE),
           Summ_Bonds =sample(1000:10000, size = 50, replace = TRUE),
           Summ_Options =sample(1000:10000, size = 50, replace = TRUE)
           )

str(df_central_database)

'data.frame':   50 obs. of  5 variables:
 $ Category       : Factor w/ 10 levels "a","able","about",..: 6 4 5 7 1 3 3 3 7 5 ...
 $ Summ_Income    : int  4189 9428 3213 5258 2724 6249 5135 5207 4598 5548 ...
 $ Summ_Securities: int  4099 1551 4321 4668 9229 8999 9854 5295 7242 4832 ...
 $ Summ_Bonds     : int  8916 2774 1625 2416 4001 2620 2318 3615 9425 1922 ...
 $ Summ_Options   : int  3008 5823 6963 8633 2342 7031 7855 9988 3369 8967 ...

现在更改列类是用每行一行完成的,如下所示:

class(df_central_database$Summ_Income) <- "comma"
class(df_central_database$Summ_Securities) <- "comma"
class(df_central_database$Summ_Bonds) <- "comma"
class(df_central_database$Summ_Options) <- "comma"


str(df_central_database)

'data.frame':   50 obs. of  5 variables:
 $ Category       : Factor w/ 10 levels "a","able","about",..: 6 4 5 7 1 3 3 3 7 5 ...
 $ Summ_Income    :Class 'comma'  int [1:50] 4189 9428 3213 5258 2724 6249 5135 5207 4598 5548 ...
 $ Summ_Securities:Class 'comma'  int [1:50] 4099 1551 4321 4668 9229 8999 9854 5295 7242 4832 ...
 $ Summ_Bonds     :Class 'comma'  int [1:50] 8916 2774 1625 2416 4001 2620 2318 3615 9425 1922 ...
 $ Summ_Options   :Class 'comma'  int [1:50] 3008 5823 6963 8633 2342 7031 7855 9988 3369 8967 ...

是否可以使用dplyr mutate_at进行类分配,就像这样？

df_central_database %>%
  mutate_at(.vars = vars(contains("Summ")), 
            .funs = class(df_central_database$Income) <- "comma") %>%
  str()

或者任何其他快捷方式,它可以帮助我将一些列类改为逗号,只需一次猛扑即可.

谢谢拉斐尔

Answer 1

获取要更改为向量的内容的名称:

> changers = names(df_central_database)[grepl("Summ",names(df_central_database))]
> changers
[1] "Summ_Income"     "Summ_Securities" "Summ_Bonds"      "Summ_Options"   

然后将它们打成一个循环:

> for(n in changers){class(df_central_database[[n]])= "comma"}

不需要额外的包来做这件事.