如何将R数据帧写入谷歌云存储桶文件夹

我想把R数据帧写入谷歌云存储桶。我在用 googleCloudStorageR 这是我的代码-

################### START ###############################

options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/cloud-platform")
# load the libraries
library("googleAuthR", lib.loc="/home/user/packages" )
library("googleCloudStorageR", lib.loc="/home/user/packages")
gar_gce_auth()


name <- c("john","doe")
id <- c(1,2)
results = as.data.frame(cbind(name,id))
print("writing results to GCS")

# Set bucket name
bucket <- "my-bucket"
gcs_global_bucket(bucket)
print("bucket set.")


# Upload that file to the global bucket
gcs_upload(file = results , name = "results.csv")

################## END ################################

这会将数据帧加载到bucket my-bucket .

现在我想把这个数据框保存到一个不同的文件夹结构中- my-bucket\my-folder\results.csv .如何将数据帧保存到GCS中的新路径?

https://cran.r-project.org/web/packages/googleCloudStorageR/googleCloudStorageR.pdf