is.data.frame.l中的错误：找不到对象“组”

编程问答 2022-06-07

问题描述

不确定在没有可重现的示例数据的情况下是否所有人都能为我提供帮助，但是我在运行以下代码时遇到问题。我正在尝试使用multidplyr包，但似乎找不到我的专栏。我正在运行以下代码：

cl <- detectCores()
cl

models_prep <-
  bookings_prep %>%
  inner_join(pipeline_prep_,by = c("booking_type","group")) %>%
  crossing(biz_day) %>%
  left_join(closed_pipeline,"group")) %>%
  select(-opportunity_forecast_category)

group1 <- rep(1:cl,length.out = nrow(models_prep))
models_prep1 <- bind_cols(tibble(group1),models_prep)


cluster <- new_cluster(cl)

cluster %>%
  cluster_library("tidyr") 

cluster %>%
  cluster_library("purrr") 

cluster %>%
  cluster_library("plyr") 

cluster %>%
  cluster_library("dplyr") 

cluster_copy(cluster,"rmf")
cluster_copy(cluster,"fc_xreg")


#cluster_assign(cluster,"rmf")
#cluster_copy(cluster,c("rmf","fc_xreg"))

by_group <- models_prep %>%
  group_by(group) %>%
  partition(cluster) 

by_group1 <- models_prep1 %>%
  group_by(group1) %>%
  partition(cluster) 

models <-  by_group %>%
  mutate(
    xreg_arima = pmap(list(data = pipeline,h = 1,name = group,bookings = bookings,type = booking_type,biz_day = biz_day,no_bookings = no_bookings,sparse_pipeline = sparse_pipeline,closed_forecast_cat = pipeline_amount,FUN = "fc_xreg"),rmf))

一切正常运行到模型

enter image description here

解决方法

有时只需要引用参数，尤其是在dplyr-ish情况下。

models <-  by_group %>%
  mutate(
    xreg_arima = pmap(list(data = pipeline,h = 1,name = "group",bookings = "bookings",type = "booking_type",biz_day = "biz_day",no_bookings = "no_bookings",sparse_pipeline = "sparse_pipeline",closed_forecast_cat = "pipeline_amount",FUN = "fc_xreg"),rmf))
multidplyrparallel-processingrrtidyverse