I don't know what the matlab eval() function does, but this example might help
you get started with the way R does things:
lapply( rwrdatafile, summary)
This will apply the summary() function to every column of the data frame.
As others have mentioned, it is bad R to create separate variables
You can use the 'with' function or the 'data' argument to many functions
to use the variables in the data frame without copying them out to the
global environment. Leaving them in the data.frame keeps them from
getting lost among the temporary variables in the global environment.
> Data <-
I do not understand why you want to take a perfectly good data frame
and split it into a whole bunch of single-column data frames instead
of working with it as-is. The latter seems like an awkward and
unnecessary thing to do.
If you explain what you're trying to do, we can help. Referencing
I have a data frame that includes several columns representing
variables and variables names are indicated at the top row of the data
frame. That is, I had a csv file where variable names were stored in
the top row, and when I imported the csv file to R, R created a data
frame that appears with
4 matches
Mail list logo
