df.split: Splitting a Multivariate Time Series Data Frame into...
In google-trends-v1/gtm: Functions for Economic Nowcasting with Google Trends Data

Description Usage Arguments Details Author(s) See Also Examples

This function splits a multivariate time series data frame into individual data frames containing each time series and a common variable shared by them. The individual data frames are stored and returned in a list. A common example of the "common variable" is Date.

1	df.split(dataframe=NULL, by=NULL)

`dataframe`	the multivariate time series dataframe to be splitted.
`by`	character; the common variable to be shared by the individual data frames.

Sometimes, the merge function in R returns zero observations when dealing with data frames containing large amounts of columns. A good way to go about this is to split those large data frames into individual data frames and merge them with the reduce function.

Zehua Wu

df.merge