@Kal_Lam Thank you for tagging @dickoa , I was able to follow one of his posts about using the robotoolbox package to pull data from Kobotoobox Introducing the R package robotoolbox - #58 by dickoa. I have been able to successfully pull data into R, and its working as a perfect alternative to the KoboconnectR package.
This is the final code I am using, just incase anyone might be interested to follow suit:
library(pacman)
p_load(robotoolbox, koboloadeR, dplyr)
# Get your authentication token
token <- kobo_token(
username = "my_user_name",
password = "my_password",
url = "https://kc.kobotoolbox.org"
)
# Check kobo settings
kobo_setup(url = "https://kf.kobotoolbox.org", token = token)
kobo_settings()
# Get a list of all your kobo projects
l <- kobo_asset_list()
head(l)
# Select which project you want to pull data from
uid <- l$uid[1]
asset <- kobo_asset(uid)
asset
# Pull data
dsv_data <- kobo_data(asset)
glimpse(data)
Thanks once again.