How can I store a dataframe inside a vector c() by name, without replacing fields inside the vector?
I am trying to store a dataframe by name in a vector in the same way that I am able to store Hello World with the key a_value:
> data <- c()
> data['a_value'] <- 'Hello World'
> data['a_value']
a_value
"Hello World"
Now with the data frame:
> data['loaded_csv'] <- read.csv('test.csv', header=TRUE, sep=',')
Warning message:
In data["loaded_csv"] <- read.csv("test.csv", header = TRUE, sep = ",") :
number of items to replace is not a multiple of replacement length
I know that R is trying to replace/update fields of data with the columns loaded from the read.csv call, but I don't want to do that. I only want to associate the data frame from read.csv(...) with the key loaded_csv inside of data. I'm sure this is due to a misunderstanding on my part of how R uses vectors.
I'd like to be able to do this after storing it:
loaded_csv <- data['loaded_csv']
Something similar in Python:
data = {}
data['a_value'] = 'Hello World' # works!
data['loaded_csv'] = read_csv('test.csv')
loaded_csv = data['loaded_csv'] # works!
UPDATE: trying with list() instead of c()
Lists don't seem to make a difference :^/
> data <- list()
> data['a_value'] <- 'Hello World'
> data['a_value']
$a_value
[1] "Hello World"
> data['loaded_csv'] <- read.csv('test.csv', header=TRUE, sep=',')
Warning message:
In data["loaded_csv"] <- read.csv("test.csv", header = TRUE, sep = ",") :
number of items to replace is not a multiple of replacement length
