I have 8,000 data.frames inside my global environment (.GlobalEnv) in R, for example
head(ls(.GlobalEnv))
#[1] \"db1\" \"db2\" \"db3\"
The simplest approach I can think of would be a basic for loop using mget.
for(df in ls(.GlobalEnv)){
print(get(df))
}
You can then apply whatever operation you like on the mget result.
Note - this assumes the only variables in the environment are data.frames for your purposes as it doesn't discriminate A more restrictive for loop would be:
for(df in ls(.GlobalEnv)){
if(is.data.frame(get(df))){
print(head(get(df)))
}
}
which just uses is.data.frame to check if the object is indeed a data.frame.