MWE with image

# This is the code to generate .RData file.
# Note - this will create the environment which, if loaded, works as is on my PC.
# See environment on right of your screen - it saves those elements.
# Keep this environment ONLY relevant to what you need help with (don't clutter - filter your df)

# E.g.

rm(list=ls())
library(tidyverse)
library(tbl2xts)
df <- tibble(x = rnorm(100))
save.image("Img.RData")

# On my PC, this can now be put in a folder, and read as follows:

load("Img.RData")

# NOW CRUCIAL::::
# Send a separate code file that contains the code that breaks.
# In it, show the code that I will use, libraries, etc... e.g:

#-------------------------------------------------
# Code file (sent separately)
#-------------------------------------------------
rm(list=ls())
library(tidyverse)
library(tbl2xts)
load("Img.RData")


df %>% mutate(y = max(x))