Reputation: 35
I'm trying to convert a list of vectors into a data frame, with there being a column for Company Names and column for the MPE. My list is generated by running the following code for each company:
MPE[[2]] <- c("Google", abs(((forecasted - goog[nrow(goog),]$close)
/ goog[nrow(goog),]$close)*100))
Now, i'm having trouble making it into the appropriate data frame for further manipulation. What's the easiest way to do this?
This is an example list of vectors that I would want to manipulate into a dataframe with the company names in one column and the number in the second column.
test <- list(c("Google", 2))
test[[2]] <- c("Microsoft", 3)
test[[3]] <- c("Apple", 4)
Upvotes: 1
Views: 3225
Reputation: 3722
You can use unlist
with matrix
and then turn into a dataframe
. reducing with rbind
could take a long time with a large dataframe I think.
df <- data.frame(matrix(unlist(test), nrow=length(test), byrow=T))
colnames(df) <- c("Company", "MPE")
Upvotes: 3
Reputation: 35
I was actually able to achieve what I wanted with the following:
MPE_df <- data.frame(Reduce(rbind ,MPE))
colnames(MPE_df) <- c("Company", "MPE")
MPE_df
Upvotes: 0