I've been assigned to analyze some data that are contained in a MongoDB format. I'm a complete newbie to MongoDB, but I can manage if I can read the data and convert it to an R data table or data frame. If possible, I'd like to do just enough to get the MongoDB data into R.
I'm trying to get access to the data using the rmongodb package in R version 3.1.2 on Mac OS X Yosemite via RStudio 0.98.953. I've tried this so far:
install.packages("rmongodb")
library(rmongodb)
#up to here, it works
mongo <- mongo.create(host='localhost')
mongo <- mongo.create(host='127.0.0.1')
mongo <- mongo.create()
Each of the mongo <- assignment statements results in the same error:
Unable to connect to localhost:27017, error code = 2
and
mongo.is.connected(mongo)
returns FALSE.
If this is an essential part of the answer, we can use "db=test" as the database. For what it's worth, the datasets are stored in "~/Desktop/MyExample" and consist of four files with the extension "bson" and their analogues ending with ".metadata.json", as well as a "system.indexes.bson" file.
Any ideas? Thanks in advance!