[英]how to output multiple table in one excel with multiple tabs
I have a dataframe:我有一个数据框:
df <- data.frame(subgroup= c(1,1,1,1,1,1,1,1,2,2,2,2,3,3,3,3),
group_num=(2,2,5,5,10,21,18,17,16,22,20,25,21,30,29,20),
state= c(NJ,NJ,NJ,VT,VT,VT,VT,DC,DC,DC,DC,IL,IL,IL,IL),
date= c(2010-01-01,2010-01-01,2010-01-01,2010-01-01,2010-01-02,2010-01-02,2010-01-02,2010-01-02,2010-02-03,2010-02-03,2010-02-03,2010-02-03,2010-03-05,2010-03-05,2010-03-05,2010-03-05),
value = c(12,7,6,9,15,7,6,9,18,5,6,3,20,5,5,6)
)
where I want to output each unique group_num to a separate tab in one excel, and I've tried below:我想将每个唯一的 group_num 输出到一个 excel 中的单独选项卡,我在下面尝试过:
map(unique(df$group_num),function(x)
write.xlsx(df%>%
filter(group_num == !!sym(x)) ,
file.path(test ,"TEST.xlsx"),
sheetName=x )
)
But I got error:但是我得到了错误:
Error in `.fun()`:
! Problem while computing `..1 = group_num== `2``.
Caused by error in `mask$eval_all_filter()`:
! object '2' not found
Backtrace:
1. purrr::map(...)
6. tidylog::filter(., metric_num == !!sym(x))
7. tidylog:::log_filter(...)
9. dplyr:::filter.data.frame(.data, ...)
10. dplyr:::filter_rows(.data, ..., caller_env = caller_env())
11. dplyr:::filter_eval(dots, mask = mask, error_call = error_call)
13. mask$eval_all_filter(dots, env_filter)
If I try group_num == x
, the ouput excel will just have the last group_num.如果我尝试group_num == x
,输出 excel 将只有最后一个 group_num。
And what should I do if I want to add more tables on that map function?如果我想在那个地图功能上添加更多的表,我该怎么办?
You could do this by arranging the data groups into a named list...您可以通过将数据组排列到命名列表中来做到这一点...
library(purrr)
library(dplyr)
library(openxlsx)
ls1 <- map(unique(df1$group_num), ~filter(df1, group_num == .))
names(ls1) <- unique(df1$group_num)
#this assumes that directory `test` exists
write.xlsx(ls1, file.path("test/TEST.xlsx"))
data数据
df1 <- data.frame(subgroup= c(1,1,1,1,1,1,1,1,2,2,2,2,3,3,3,3),
group_num=c(2,2,5,5,10,21,18,17,16,22,20,25,21,30,29,20),
state = rep(c("NJ", "VT", "DC", "IL"), each = 4),
date= c(2010-01-01,2010-01-01,2010-01-01,2010-01-01,2010-01-02,2010-01-02,2010-01-02,2010-01-02,2010-02-03,2010-02-03,2010-02-03,2010-02-03,2010-03-05,2010-03-05,2010-03-05,2010-03-05),
value = c(12,7,6,9,15,7,6,9,18,5,6,3,20,5,5,6)
)
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