Вам нужно снова развернуть flatten
только на 155-й колонке, а затем cbind.data.frame
первые 154 столбца с таким результатом:
really.new.data <- cbind(new.data[1:154], flatten(new.data[155]))
str(really.new.data)
#--------
'data.frame': 4 obs. of 714 variables:
$ ticker : chr "MS" "GS" "MPC" "ORCL"
$ tradeDate : chr "2019-03-01" "2019-03-01" "2019-03-01" "2019-03-01"
$ assetType : int 3 3 3 3
$ priorCls : num 42 196.7 62 52.1
$ pxAtmIv : num 42.6 198.4 62.5 52.6
$ mktCap : int 73261 73803 43158 217909
$ cVolu : int 24699 28845 9612 17659
#----------- snipped-----
Disclaimer: I am the developer of this tool, but I think it may answer your question.
CloudBerry Explorer freeware will be able to do it in the next release.
S3 doesn't appear to support bulk updates, as its API's contain no such operations. Some third-party tools claim bulk update capability; however, I wager that they merely automate iteration.